Monday, October 26, 2020

The repetition-induced truth effect refers to a phenomenon where people rate repeated statements as more likely true than novel statements; a minority do the opposite—they reliably discount the validity of repeated statements

The truth revisited: Bayesian analysis of individual differences in the truth effect. Martin Schnuerch, Lena Nadarevic & Jeffrey N. Rouder. Psychonomic Bulletin & Review, October 26 2020. https://link.springer.com/article/10.3758/s13423-020-01814-8

Abstract: The repetition-induced truth effect refers to a phenomenon where people rate repeated statements as more likely true than novel statements. In this paper, we document qualitative individual differences in the effect. While the overwhelming majority of participants display the usual positive truth effect, a minority are the opposite—they reliably discount the validity of repeated statements, what we refer to as negative truth effect. We examine eight truth-effect data sets where individual-level data are curated. These sets are composed of 1105 individuals performing 38,904 judgments. Through Bayes factor model comparison, we show that reliable negative truth effects occur in five of the eight data sets. The negative truth effect is informative because it seems unreasonable that the mechanisms mediating the positive truth effect are the same that lead to a discounting of repeated statements’ validity. Moreover, the presence of qualitative differences motivates a different type of analysis of individual differences based on ordinal (i.e., Which sign does the effect have?) rather than metric measures. To our knowledge, this paper reports the first such reliable qualitative differences in a cognitive task.

General discussion

In this paper, we show a surprising finding. Although the truth effect is reliably obtained across many data sets, the effect itself is inconsistent across people. We are confident that in most experiments some people truly judge repeated statements as more valid than novel ones, while others truly judge them as less so. This effect is not just noise—the models indicate that this inconsistency occurs above and beyond trial-by-trial variation. What makes the finding surprising to us is that the result is in contrast to previous work with these individual-difference models. The modal result is that “everybody does”, that is, there are no qualitative individual differences in common cognitive effects such as Stroop and Flanker effects (Haaf and Rouder, 20172019). In the repetition-induced truth effect, these differences exist, and they occur consistently across several data sets.

Does the presence of qualitative individual differences inform current cognitive theories of the truth effect? We think it should. A number of theoretical explanations have been proposed for the repetition-induced truth effect, for example, the recognition account (Bacon, 1979), the source-dissociation hypothesis (Arkes et al., 1991), the familiarity account (Begg et al., 1992), processing fluency (Reber & Schwarz, 1999), or the referential theory (Unkelbach & Rom, 2017). These accounts assume different underlying cognitive mechanisms, yet, they all make the same core prediction: repetition increases perceived validity. Unkelbach et al., (2019) summarize thusly: “No matter which mental processes may underlie the repetition-induced truth effect, on a functional level, repetition increases subjective truth” (p. 5). We argue, based on our analysis, that this statement is too general. In fact, we show what Davis-Stober and Regenwetter (2019) call the paradox of converging evidence: Across data sets, we find converging evidence that the statement holds on the mean level—yet, at the same time, we accumulate strong evidence that it doesn’t hold for everybody. Consequently, our results present converging evidence against theoretical positions that do not account for negative truthers.

This paper constitutes a first step by providing an answer to the fundamental question if there are qualitative individual differences in the truth effect. Having established such differences, the next step is to understand why they occur. One salient finding in this domain is that the overall truth effect can be reversed, that is, made negative, by certain experimental manipulations. Unkelbach and colleagues started with the proposition that easy-to-process statements are naturally more likely to be true (Unkelbach, 2007; Unkelbach & Stahl, 2009; see also Reber & Unkelbach, 2010; Unkelbach, 2006). In a set of creative experiments, these researchers reversed the correlation between fluency and truth, making difficult-to-read statements more likely to be true. With this correlation reversed, they observed a negative truth effect, that is, repeated statements, which are easier to process than novel statements, were now judged more likely to be false (but see Silva et al.,, 2016). One wonders if some participants have learned in their natural environment that ease-of-processing correlates with falseness, thus resulting in the observed qualitative individual differences.

Likewise, differences in memory ability might account for some of the individual differences patterns. We are most intrigued by the finding that there was evidence against individual differences in data sets where the interval between exposure and judgment lasted several days. Why would individual differences be attenuated or absent with increasing retention intervals? We suspect such a finding reflects an explicit memory-based effect (i.e., source recollection or memory for presented statements). As overall memory performance declines with increasing delay between exposure and judgment phase, these differences may diminish and, correspondingly, individual differences in the truth effect may disappear.

These post hoc explanations presented above are of course speculative. They form hypotheses to be addressed in future research. Based on our results, a promising way to examine the underlying mechanisms and possible covariates of individual differences in the truth effect is with a latent-class approach. Unlike correlational approaches, it relies on ordinal (i.e., In which direction is the effect?) rather than metric (i.e., How large is the effect?) measures. Given the strong evidence for qualitative individual differences in the majority of data sets, questions about who differs, when they differ, and why they differ are suitable to test and inform theories of the repetition-induced truth effect.

Would You Sacrifice Yourself to Save Five Lives? Processing a Foreign Language Increases the Odds of Self-Sacrifice in Moral Dilemmas

Would You Sacrifice Yourself to Save Five Lives? Processing a Foreign Language Increases the Odds of Self-Sacrifice in Moral Dilemmas. Carlos Romero-Rivas, Raúl López-Benítez, Sara Rodríguez-Cuadrado. Psychological Reports, October 25, 2020. https://doi.org/10.1177/0033294120967285

Rolf Degen's take: https://twitter.com/DegenRolf/status/1320614217964228609

Abstract: Foreign languages blunt emotional reactions to moral dilemmas. In this study, we aimed at clarifying whether this reduced emotional response applies to the emotions related to the self, empathy, or both. Participants were presented with moral dilemmas, written in their native or foreign language, in which they could sacrifice one man or themselves in order to save five lives (or do nothing and therefore leave five people to die). They were more willing to sacrifice themselves when processing the dilemmas in their foreign language. Also, empathy scores were reduced when responding in the foreign language, but were no reliable predictors of participants’ responses to the dilemmas. These results suggest that processing a foreign language reduces emotional reactivity due to psychological and emotional self-distance.

Keywords: Bilingualism, foreign language effect, moral dilemmas, self-distance, empathy


There are more similarities than differences between perpetrators of sex crimes & perpetrators of non-sex crimes, but the studies examined a narrow range of risk factors, which can result in somewhat misleading findings

Patrick Lussier, Evan C McCuish, Jesse Cale (Oct 2021) Sex Offenders Under the Microscope: Are They Unique?. In: Understanding Sexual Offending, pp 149-187. Springer, Cham. https://doi.org/10.1007/978-3-030-53301-4_5

Rolf Degen's take: https://twitter.com/DegenRolf/status/1320602292010262528

Abstract: No other offenders have been under as much scrutiny as perpetrators of sex crimes. A vast amount of research has been conducted in hospitals, prisons, and community settings to identify what is unique about these perpetrators. The research has been so extensive that multiple meta-analyses have been conducted to shed light on what is unique about these perpetrators. This chapter provides a review of these meta-analytic findings. In doing so, the chapter also provides a critical examination of research aiming to identify risk factors for sexual offending. While these meta-analytic studies highlight that there are more similarities than differences between perpetrators of sex crimes and perpetrators of non-sex crimes, the poor methodological properties that these studies are based upon and the narrow range of risk factors examined can potentially result in findings that are somewhat misleading. These findings raise the importance of moving away from searching for what is unique and common to all perpetrators of sex crimes and instead examining the multiple paths leading to sexual offending.

Keywords: Child abuse Deviant sexual preferences Intelligence Juvenile sexual offending Mental health Meta-analysis Pornography Risk factors Sexual victimization Social skills Testosterone 



Investigating offenders’ abilities in the context of deception detection: Criminals are not better lie detectors

Are criminals better lie detectors? Investigating offenders’ abilities in the context of deception detection. Simon Schindler  Laura K. Wagner  Marc‐André Reinhard  Nico Ruhara  Stefan Pfattheicher  Joachim Nitschke. Applied Cognitive Psychology, October 24 2020. https://doi.org/10.1002/acp.3755

Rolf Degen's take: https://twitter.com/DegenRolf/status/1320594785208598528

Summary: The present research examined lie detection abilities of a rarely investigated group, namely offenders. Results of the studies conducted thus far indicated a better performance of offenders compared to non‐offenders when discriminating between true and false messages. With two new studies, we aimed at replicating offenders’ superior abilities in the context of deception detection. Results of Study 1 (N = 76 males), in contrast, revealed that offenders were significantly worse at accurately classifying true and false messages compared to non‐offenders (students). Results of Study 2 (N = 175 males) revealed that offenders’ discrimination performance was not significantly different compared to non‐offenders (clinic staff). An internal meta‐analysis yielded no significant difference between offenders and non‐offenders, questioning the generalizability of previous findings.


Individuals with higher education experienced a more depressive symptoms & more decrease in life satisfaction from before to during COVID-19; those of highest levels of income experienced more decrease in life satisfaction

Wanberg, C. R., Csillag, B., Douglass, R. P., Zhou, L., & Pollard, M. S. (2020). Socioeconomic status and well-being during COVID-19: A resource-based examination. Journal of Applied Psychology, Oct 2020. http://dx.doi.org/10.1037/apl0000831

Abstract: The authors assess levels and within-person changes in psychological well-being (i.e., depressive symptoms and life satisfaction) from before to during the COVID-19 pandemic for individuals in the United States, in general and by socioeconomic status (SES). The data is from 2 surveys of 1,143 adults from RAND Corporation’s nationally representative American Life Panel, the first administered between April–June, 2019 and the second during the initial peak of the pandemic in the United States in April, 2020. Depressive symptoms during the pandemic were higher than population norms before the pandemic. Depressive symptoms increased from before to during COVID-19 and life satisfaction decreased. Individuals with higher education experienced a greater increase in depressive symptoms and a greater decrease in life satisfaction from before to during COVID-19 in comparison to those with lower education. Supplemental analysis illustrates that income had a curvilinear relationship with changes in well-being, such that individuals at the highest levels of income experienced a greater decrease in life satisfaction from before to during COVID-19 than individuals with lower levels of income. We draw on conservation of resources theory and the theory of fundamental social causes to examine four key mechanisms (perceived financial resources, perceived control, interpersonal resources, and COVID-19-related knowledge/news consumption) underlying the relationship between SES and well-being during COVID-19. These resources explained changes in well-being for the sample as a whole but did not provide insight into why individuals of higher education experienced a greater decline in well-being from before to during COVID-19.

KEYWORDS: socioeconomic status, conservation of resources, well-being, COVID-19


Discussion


A nationally representative sample in the United States displayed an increase in depressive symptoms and a decrease in life satisfaction from before to during COVID-19. Levels of depressive symptoms during COVID-19 were also higher than previously established norms (Tomitaka et al., 2018).
Contributing to the important goal of illustrating how the pandemic is affecting individuals of lower and higher SES, our study showed that during the first peak of the pandemic in the United States, higher education was positively associated with depressive symptoms and negatively associated with life satisfaction. This was contrary to expectations because individuals with lower SES generally have lower well-being. Consistent with expectations, higher income was associated with lower depressive symptoms and higher life satisfaction during the pandemic.
Assessment of change from before to during the pandemic is important to diagnose how the pandemic affected well-being. Individuals with higher education experienced a greater increase in depressive symptoms and a greater decrease in life satisfaction from before to during COVID-19 than individuals with lower education. Income did not have linear relationship with changes in well-being, but supplemental analysis supported a curvilinear relationship showing that individuals at higher levels of income experienced a greater decrease in life satisfaction from before to during COVID-19 than individuals with lower levels of income (see Figure 2).
These findings provide a partial replication of the Axios-Ipsos poll, which indicated that in the United States, a higher proportion of higher SES individuals reported a decline in their emotional well-being due to the pandemic than those of lower SES (Talev, 2020). A major difference between our study and the Axios-Ipsos poll (beyond our use of comparison data from before the pandemic) is their use of an income and education composite to index SES. Income and education capture different parts of SES and can result in divergent empirical findings (e.g., Christie & Barling, 2009DeGarmo, Forgatch, & Martinez, 1999), which we also reveal in this study.
We examined four resource-based mechanisms to try to explain how SES may transmit to lower and reduced well-being. Tested mediators did not provide good explanatory value, especially for the effect of education. The one significant mediator, COVID-related knowledge, contributed to an increase in life satisfaction from before to during COVID-19, rather than a decrease. As such, COVID-related knowledge was not a valuable explanatory mechanism to explain why individuals with more education displayed an overall well-being decline. Further insight is thus needed. In supplemental analyses, education was not associated with job loss due to COVID-19, r = −.06, p > .05. We also added having experienced job loss (furloughed or laid off) due to COVID-19 as another control variable. Results were consistent with or without this control. An unmeasured explanation is the increase in work responsibility that individuals of higher education may have encountered. The pandemic meant that many managers had to lead their business units and teams through staffing changes such as layoffs or pay cuts, producing substantial stress (Knight, 2020). Further, educational attainment is a key predictor of participation in the stock market (Cooper & Zhu, 2016), which represents a nuanced aspect of financial resources that our measure might not have fully captured. In the few weeks preceding our T2 assessment, the Dow Jones Industrial Average lost one third of its total value (S&P Dow Jones Indices, 2020), which may have contributed to a greater loss of wealth (and fear of loss) among individuals with higher levels of education.
Finally, it is plausible that individuals of higher SES experience adaptation or an endowment effect whereby they have a higher expectation for a constant availability of resources (including ones not incorporated in our theorizing), and therefore experience greater declines in well-being when a crisis contracts or threatens their resource supplies (Diener & Biswas-Diener, 2002Tversky & Kahneman, 1991). This possible explanation is particularly intriguing given that evidence suggests that the pandemic has hit individuals of lower SES very hard. As one of many examples of higher impacts to lower SES individuals, household crowding and higher odds of working on-site have been linked to higher rates of COVID-19 infections (Emeruwa et al., 2020Oppel, Gebeloff, Lai, Wright, & Smith, 2020).
Our study assessed well-being early in the pandemic and it is possible that the findings of more severe well-being decline among individuals of higher SES are temporary. Future research should examine well-being among groups of higher and lower SES over a longer time during the pandemic as well as moderators of the impact of education (e.g., personality traits). For organizational and managerial practice, as well as mental health practitioners, it will be key to identify the groups for whom the impacts are longer lasting in order to address inequities. It would also be intriguing to examine if our findings replicate in other countries, to consider the role of threat of loss versus actual loss of resources, and to theorize the role of factors such as age and general health as more central predictors of psychological well-being during COVID.
There are several unique aspects to our investigation. Available pre–post studies of SES in the context of other crises have relied on data following versus during the event (Norris et al., 2002). Our study also expands collective knowledge by examining the role of resources in explaining SES differences in levels and changes in well-being during a crisis event. An additional major strength of our study is that it features a probability sample-based, nationally representative panel. This broad sampling strategy was essential to represent both low and high levels of SES, and to provide a more rigorous test of our hypotheses.
We contribute to the conversation on socioeconomic inequality by illuminating how a crisis event afflicts well-being across the SES spectrum. The theory of fundamental social causes has primarily been examined with respect to physical health. Our study extends this theory to the examination of psychological well-being. We found more support for this theory with respect to income as an SES indicator than for education. Moreover, our study contributes to the dynamic testing of COR theory, which emphasizes the velocity of loss spirals underlying chronic resource shortages and suggests the primacy of acute resource losses (Ennis, Hobfoll, & Schröder, 2000Hobfoll, 2010). Our findings provide some support for both of these tenets. We found inferior well-being during the pandemic among individuals with lower income and also observed well-being declines to a greater extent among individuals of higher education. Future research is needed to distinguish between the relative impact of chronic resource shortages and acute resource losses. We also invite more managerial research delineating how SES contexts shape psychological experiences in the face of societal and organizational crises (Bapuji, Patel, Ertug, & Allen, 2020Fiske & Markus, 2012).
As a limitation, our sample focused on individuals who participated in the Adult Social Networks and Well Being study that targeted U.S. adults between 30 and 80 years old. Future research can examine whether our results generalize to those under the age of 30. It is also important to qualify our inferences about COVID-19 per se being the definitive cause of well-being changes from 2019 to 2020. These dynamics may plausibly be explained by other factors that are not associated with the pandemic, such as the political environment. The consistent timing of well-being assessments in 2019 and 2020 mostly rule out alternative explanations related to seasonal effects.

Sunday, October 25, 2020

Co-designing "healthy eating" interventions with supermarket retailers: Consumers did not fall in the trap & altered shelf placement alone did not improve the (official) healthiness of food purchases

The effect of a shelf placement intervention on sales of healthier and less healthy breakfast cereals in supermarkets: A co-designed pilot study. Leanne Young et al. Social Science & Medicine, September 1 2020, 113337. https://doi.org/10.1016/j.socscimed.2020.113337

Highlights

• Co-designing healthy eating interventions with supermarket retailers is feasible.

• Altered shelf placement alone did not improve the healthiness of food purchases.

• Customers noted brand preferences and price as key determinants of purchases.

• In-store promotions present opportunities to improve healthiness of food purchases.

• Product promotional strategies should align with healthy eating interventions.

Abstract: Supermarkets are the principal source of grocery food in many high-income countries. Choice architecture strategies show promise to improve the healthiness of food choices. A retailer-academic collaboration was formed to co-design and pilot selected commercially sustainable strategies to increase sales of healthier foods relative to less healthy foods in supermarkets. Two co-design workshops, involving supermarket corporate staff and public health nutrition academics, identified potential interventions. One intervention, more prominent shelf placement of healthier products within one category (breakfast cereals), was selected for testing. A pilot study (baseline, intervention and follow-up, 12-weeks each) was undertaken in six supermarkets (three intervention and three control) in Auckland, New Zealand. Products were ranked by nutrient levels and profile, and after accounting for the supermarkets’ space management principles, healthier products were placed at adult eye level. The primary outcome was change in sales of healthier products relative to total category sales. Secondary outcomes were nutrient profile of category sales, in-store product promotions, customer perceptions, and retailer feedback. There was no difference in proportional sales of more prominently positioned healthier products between intervention (56%) and control (56%) stores during the intervention. There were no differences in the nutrient profile of category sales. A higher proportion of less healthy breakfast cereals were displayed in intervention versus control stores (57% vs 43%). Most customers surveyed supported shelf placement as a strategy (265, 88%) but noted brand preferences and price were more salient determinants of purchases. Retailers were similarly supportive but balancing profit, health/nutrition and customer satisfaction was challenging. Shelf placement alone was not an effective strategy to increase purchases of healthier breakfast cereals. This study showed co-design of a healthy eating intervention with a commercial retailer is feasible, but concurrent retail environment factors likely limited the public health impact of the intervention.

Keywords: SupermarketsDietsShelf placementCo-designNutritionChoice architecture


4. Discussion

In this pilot study, the co-designed intervention, more prominent shelf placement of healthier products, had no effect on healthier breakfast cereal sales. Whilst small increases in sales were shown in two cereal segments and for two of the three intervention stores these were not statistically significant. Altering the shelf placement of products was the sole change made to the food category; therefore, this study was useful to test the effectiveness of this strategy in isolation. This single strategy study was unique compared to many supermarket interventions (Adam and Jensen, 2016Hartmann-Boyce et al., 2018), which commonly test multiple strategies (signage, placement, education, price) and therefore the effect of individual strategies within a multi-faceted intervention is usually less able to be determined (Cameron et al., 2016). Despite this, a systematic review found that single and multi-strategy interventions share the same high success rate (70%) (Cameron et al., 2016). Inclusion of a whole category rather than individual products within a category was also a distinctive feature of this study. However, the findings suggest that shelf placement alone (in the absence of other strategies) is a weak lever for influencing the healthiness of shopper purchases in the breakfast cereal category.

Secondly, there was no effect of the shelf placement intervention on the nutritional composition of sales within the breakfast cereal category. This intervention was implemented in a ‘real world’ supermarket setting. Therefore, the nutritional ranking of breakfast cereals by cereal category segment (by researchers) was subject to the usual supermarket space management criteria for shelf placement. These included segmentation (e.g. all oats grouped together), brand blocking (brands located together), pack size blocking (similar sized packages located together) and visual appeal of products on shelves that aim to make product selection easy for shoppers. These requirements and that just over half (56%) of the products did not change position resulted in relatively small differences in the nutritional composition of products located in prominent versus non-prominent shelf locations, which are likely reasons for the lack of effect on nutrient sales. Interviews with store staff supported the notion that space management criteria compromised the ideal placement of products. Furthermore, the range of nutrient composition values (e.g. energy) was narrow for some smaller segments, e.g. biscuits (n = 12).

Thirdly, in-store product display promotions appear to have interacted with the shelf placement intervention. There were multiple breakfast cereals on in-store displays across all six stores (n = 1268), with a slightly higher proportion in intervention stores (54%) and a higher proportion of less healthy, less prominent products compared to control stores. Per store, there were 19 breakfast cereals (includes flavour variants of products) each week in aggregated displays (4–6 actual display areas per store featuring multiple products and product variants) (data was collected at one time point each week). Store managers are provided with guidance from a national display matrix, which provides product promotional options within a category/segment for each designated display space. When products are on promotion the entire brand range may be included (healthy and less healthy). It is possible that at the time of the audit the healthier choices had already sold out on displays and gaps were filled by other, less healthy products in the range. It is also plausible that the higher number of promotions for less healthy products in intervention stores may have been orchestrated by store personnel (consciously or unconsciously) to feature higher selling, more profitable products, that had been moved to less prominent shelf positions, and thus counteracted shelf prominence of healthier products. Data on in-store promotions were not collected in the pre- or post-intervention periods therefore change in the type of promotions over time could not be determined.

The lack of effect of prominent placement on product sales shown in our study generally aligns with findings from Foster et al. (2014) who suggested that brand loyalty and product preferences may be dominant in this particular category. Brand loyalty in the breakfast cereal category also emerged as a strong theme from our shopper survey, with shoppers commenting that they tended to purchase the same brand repeatedly. Similarly, strong shopper preferences and habitual purchase behaviours were found in an experiment examining the effects of a change of placement for types of bread (de Wijk et al., 2016). The bread category was described as less able to be ‘nudged’ because a nudge needs to be of sufficient strength to overrule usual purchase habits. Other mechanisms in the environment can also influence habitual health behaviours and consumer choices (Wilson et al., 2016), for example, product price, nutrition labelling/information and availability (Arno and Thomas, 2016). Price was another key factor that shoppers highlighted in our current study as influencing product choice, although brands with high loyalty tend to use price less to generate sales compared to minor brands (Empen et al., 2011).

This study had several strengths. It utilised co-design to enhance the likely fiscal sustainability of the intervention. This process allowed a strong working relationship to be built with the retail partner, which facilitated intervention delivery, access to sales and promotional data, and possible future research opportunities. Intervention selection was informed by commercial knowledge and not preconceived by researchers. A single strategy, more prominent shelf placement of healthier products within an entire food category, was piloted in a real-world environment using a controlled study design to determine potential effectiveness. Inclusion of pre-intervention and follow-up periods allowed measurement of change over time. Supermarket sales data was used as a direct measure of change in shopper purchases to determine the effect of the intervention rather than reliance on self-reported purchases (Bandy et al., 2019). Weekly product auditing and retailer follow-up of anomalies resulted in high intervention compliance.

The study was however, limited by its small sample size (6 stores) and lack of randomisation. Although, it has been acknowledged that randomisation in supermarket intervention design is difficult due to the innate nature of real-life implementation (Escaron et al., 2013). The original aim was to pilot the intervention in a limited number of stores with the intention that if findings were promising, a larger sufficiently powered randomised controlled trial would be conducted. However, our experience working alongside a major retailer suggests that successful interventions would likely be rolled out to a larger number of stores very quickly, with little time for a larger randomised controlled study to be organised. Other limitations to note briefly include lack of alignment of the intervention with other concomitant breakfast cereal promotions (price reductions, mailers, and in-store displays), lower compliance with product planograms in control stores, selection of a category where customer brand loyalty and purchase habits are strong which likely minimised potential impact, and relatively small difference in the healthiness of prominent and less prominent products. More research is needed to understand the effects of the range of in-store promotions, including price, on sales within the supermarket environment. Other categories where shoppers do not purchase the same products habitually may also have been more suited to testing shelf placement, for example, convenience foods, ready meals or soups.

Improving Prediction of Real-Time Loneliness and Companionship Type Using Geosocial Features of Personal Smartphone Data

Improving Prediction of Real-Time Loneliness and Companionship Type Using Geosocial Features of Personal Smartphone Data. Congyu Wu et al. arXiv October 2020, https://arxiv.org/pdf/2010.09807.pdf

Abstract: Loneliness is a widely affecting mental health symptom and can be mediated by and co-vary with patterns of social exposure. Using momentary survey and smartphone sensing data collected from 129 Androidusing college student participants over three weeks, we (1) investigate and uncover the relations between momentary loneliness experience and companionship type and (2) propose and validate novel geosocial features of smartphone-based Bluetooth and GPS data for predicting loneliness and companionship type in real time. We base our features on intuitions characterizing the quantity and spatiotemporal predictability of an individual’s Bluetooth encounters and GPS location clusters to capture personal significance of social exposure scenarios conditional on their temporal distribution and geographic patterns. We examine our features’ statistical correlation with momentary loneliness through regression analyses and evaluate their predictive power using a sliding window prediction procedure. Our features achieved significant performance improvement compared to baseline for predicting both momentary loneliness and companionship type, with the effect stronger for the loneliness prediction task. As such we recommend incorporation and further evaluation of our geosocial features proposed in this study in future mental health sensing and context-aware computing applications.


8 Discussion

In this section we reflect on our outcome variables and approach in the grander context of understanding human behavior and enhancing human well-being through mobile sensing and data analytics. 

Temporal resolution The two related outcomes examined in this paper, loneliness and companionship type, fall in two overlapping yet distinguishable areas in ubiquitous computing research, namely mental health sensing and context-aware computing, respectively. Context-aware computing emphasizes a computer’s inference of its user’s activity and surroundings in real-time, thus naturally having a moment-to-moment granularity. However, mental health sensing tasks span a wider range of temporal resolutions. On the low end, we see condition diagnosis tasks observe participants for as long as two months consecutively and then offer a judgment about whether a participant is with a clinical condition such as depression. On the high end reside real-time tracking tasks like the one presented in this paper, which do not aim at a medical diagnosis but focus on raising timely warnings. In the middle of the scale, a number of studies have adopted temporal resolutions ranging from daily and every few days to weekly and bi-weekly. The differences in temporal resolution points to different types, formats, and content of intervention: following a diagnosis, traditional intervention programs may be applied as treatment, whereas predictions of higher temporal resolutions will enable just-in-time adaptive intervention via mobile platforms. Question as to what sensing-intervention scheme will be most efficacious for what cohorts and conditions remains open, challenging, and critical for successful future applications of smart mental health.

Social context Companionship type is a key aspect of an individual’s social context, but far from the entire picture. The extent to which companionship type was captured in this paper covers the existence of a companion and (if true) the nature of a companion but does not consider the number of people surrounding a participant, differences in distance, and the interaction behavior, which altogether constitute a holistic social context in which one is situated. To combat the arbitrariness in defining social context seen in extant literature and to systematically delineate the various aspects of social context sensing, we argue that a formalized response variable definition for future social context inference tasks is needed. We propose that four components, quantity, quality, distance, and interaction, be specified in a definition of social context in future context-aware computing work. Quantity refers to the number of individuals and quality refers to their social significance. The distance element, can be categorized into groups such as “within personal space”, “within social space”, and “beyond social space” based on Edward Hall’s proxemics theory [10]. The interaction element defines the type of in-person verbal interaction taking place, 18 which may include absence of interaction, interaction among others only, interaction involving self. Such a 4-pronged taxonomy will also help phrasing EMA questions to acquire ground truth in future sensing studies: as opposed to only asking “who are you with”, more detailed and rigorous questions may be administered.

Sensing hardware In this paper our core approach is feature engineering, utilizing Bluetooth and GPS data from Android smartphones. The capability of feature engineering in human-centric sensing and inference is inevitably bounded by both (a) the availability and degree of integration of a sensor and (b) the absolute content a sensor captures. In our large participant cohort, 88% were iPhone users, from whom Bluetooth data were unavailable; therefore to further utilize the predictive power of Bluetooth data in mental health sensing and context-aware computing practice, other wearable devices such as smart watches may provide a better habitat for relevant data processing and analytics. In existing literature on social behavior inference, Bluetooth data is the most utilized smartphone sensor but it is not nearly sufficient to distinguish finer grained scenarios such as the social contexts defined with the four components proposed in the previous paragraph. Introduction and fusion of novel or previously overlooked mobile sensors may offer new and more effective solutions to social context detection. Magnetometer and audio sensing are candidate options, as we are observing recent studies using phone-embedded magnetometer to detect coexistence for epidemiology applications [13] as well as ongoing work on wearable voice sensors [14], which have the potential to support emotional state prediction in daily life.

Professional translators with a dominant neurotic personality trait are the most creative; those with a dominant conscientious personality trait prefer literal translation choices (experience & age also have this last preference)

Different strokes for different folks -Exploring personality in professional translation. Ella Wehrmeyer, Ella Wehrmeyer, Sarita Antunes. Translation Cognition & Behavior 3(2):187. Oct 2020. DOI: 10.1075/tcb.00040.weh

Abstract: Until recently, the translator’s personality was a relatively unexplored area of research, but growing evidence points to the influence of personality on the translator’s decisions. Although findings are not always statistically significant, empirical research indicates that professional translators profiles differ from that of the local population, and that certain personality types are more likely to make creative translation choices in translation. This article explores the relationship between personality traits as defined by the Big Five Inventory (McCrae and Costa 1989), and translation choices as defined by Baker (2018) and Molina & Hurtado Albir (2016). The findings indicate that professional translators with a dominant neurotic personality trait are the most creative, whereas those with a dominant conscientious personality trait prefer literal translation choices. However, the findings also indicate that age and experience are competing variables, both indicating a preference for literal translation.


Saturday, October 24, 2020

From 2014... Perceptions of actual sex differences may play a more important role than culturally based gender roles and socialization processes

From 2014... Gender Stereotypes of Personality: Universal and Accurate? Corinna E. Löckenhoff et al. Journal of Cross-Cultural Psychology, January 30, 2014. https://doi.org/10.1177/0022022113520075

Abstract: Numerous studies have documented subtle but consistent sex differences in self-reports and observer-ratings of five-factor personality traits, and such effects were found to show well-defined developmental trajectories and remarkable similarity across nations. In contrast, very little is known about perceived gender differences in five-factor traits in spite of their potential implications for gender biases at the interpersonal and societal level. In particular, it is not clear how perceived gender differences in five-factor personality vary across age groups and national contexts and to what extent they accurately reflect assessed sex differences in personality. To address these questions, we analyzed responses from 3,323 individuals across 26 nations (mean age = 22.3 years, 31% male) who were asked to rate the five-factor personality traits of typical men or women in three age groups (adolescent, adult, and older adult) in their respective nations. Raters perceived women as slightly higher in openness, agreeableness, and conscientiousness as well as some aspects of extraversion and neuroticism. Perceived gender differences were fairly consistent across nations and target age groups and mapped closely onto assessed sex differences in self- and observer-rated personality. Associations between the average size of perceived gender differences and national variations in sociodemographic characteristics, value systems, or gender equality did not reach statistical significance. Findings contribute to our understanding of the underlying mechanisms of gender stereotypes of personality and suggest that perceptions of actual sex differences may play a more important role than culturally based gender roles and socialization processes.

Keywords: personality, gender/sex roles, developmental: child/adolescent, developmental: elderly


Heterosexuals that react in a negative manner when pondering or experiencing romantic or sexual overtures from persons of their same sex do so because of sexual prejudice & gender conforming reputation desire

Heterosexual People’s Reactions to Same-Sex Romantic or Sexual Overtures: The Role of Attitudes About Sexual Orientation and Gender. Laurel R. Davis-Delano, Sophie L. Kuchynka, Jennifer K. Bosson & Elizabeth M. Morgan. Archives of Sexual Behavior volume 49, pages 2561–2573, Aug 26 2020. https://link.springer.com/article/10.1007%2Fs10508-020-01804-w

Abstract: Why do some heterosexual people react in a negative manner when pondering or experiencing romantic or sexual overtures from persons of their same-sex, whereas other heterosexual people react more positively? To answer this question, this cross-sectional, correlational study examined individual difference predictors of heterosexual people’s responses to romantic or sexual overtures from same-sex persons. Our sample comprised 306 men and 307 women, ages 18–35 years, who were recruited from Mechanical Turk and identified as cisgender and heterosexual. Our hypotheses were premised on the theoretical construct of reactive group distinctiveness. Specifically, we explored predictors of heterosexual individuals’ negative perceptions of same-sex overtures. We found that more negative reactions to same-sex overtures were uniquely predicted by old-fashioned sexual prejudice, modern sexual prejudice, and desire to be perceived as gender conforming, via the mediators of social distance from same-sex sexual minority individuals and desire to be perceived as heterosexual. Gender moderated these relationships inconsistently. These findings indicate that two classes of individual differences—sexual prejudice and gender conforming reputation desire—are uniquely associated with heterosexual persons’ reactions to overtures from same-sex persons. We explain how these findings evidence the process of reactive group distinctiveness.



Two samples of male Croatian adolescents: We found no evidence that impersonal sexuality & pornography use increased the odds of subsequently reporting sexual aggression—regardless of participants’ predisposed risk

Testing the Confluence Model of the Association Between Pornography Use and Male Sexual Aggression: A Longitudinal Assessment in Two Independent Adolescent Samples from Croatia. Taylor Kohut, Ivan Landripet & Aleksandar Štulhofer. Archives of Sexual Behavior, Oct 20 2020. https://doi.org/10.1007/s10508-020-01824-6

Abstract: According to confluence model theorizing, pornography use contributes to sexual violence, but only among men who are predisposed to sexual aggression. Support for this assertion is limited to cross-sectional research, which cannot speak to the temporal ordering of assumed causes and consequences. To address this issue, we employed generalized linear mixed modeling to determine whether hostile masculinity, impersonal sexuality, and pornography use, and their interactions, predicted change in the odds of subsequently reported sexual aggression in two independent panel samples of male Croatian adolescents (N1 = 936 with 2808 observations; N2 = 743 with 2972 observations). While we observed the link between hostile masculinity and self-reported sexual aggression in both panels, we found no evidence that impersonal sexuality and pornography use increased the odds of subsequently reporting sexual aggression—regardless of participants’ predisposed risk. This study’s findings are difficult to reconcile with the view that pornography use plays a causal role in male sexual violence.



The new enthusiasm with which the media and health authorities are celebrating masturbation may be a desirable step toward further destigmatizing and normalizing solo sex; ditto with sex toys (although robots are excluded)

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Males who frequently engaged in extreme binges had exaggerated deficits on one of the visuospatial tasks, as did their female counterparts on the social-cognitive task, suggesting sex-specific vulnerabilities

Frequency of Recent Binge Drinking Is Associated With Sex-Specific Cognitive Deficits: Evidence for Condition-Dependent Trait Expression in Humans. Liana S. E. Hone et al. Evolutionary Psychology, October-December 2020: 1–13. https://journals.sagepub.com/doi/pdf/10.1177/1474704920954445

Abstract: Evolutionary theory suggests that commonly found sex differences are largest in healthy populations and smaller in populations that have been exposed to stressors. We tested this idea in the context of men’s typical advantage (vs. women) in visuospatial abilities (e.g., mental rotation) and women’s typical advantage (vs. men) in social-cognitive (e.g., facial-expression decoding) abilities, as related to frequent binge drinking. Four hundred nineteen undergraduates classified as frequent or infrequent binge drinkers were assessed in these domains. Trial-level multilevel models were used to test a priori Sex  Group (binge drinking) interactions for visuospatial and social-cognitive tasks. Among infrequent binge drinkers, men’s typical advantage in visuospatial abilities and women’s typical advantage in social-cognitive abilities was confirmed. Among frequent binge drinkers, men’s advantage was reduced for one visuospatial task (delta d = 0.29) and eliminated for another (delta d = 0.75), and women’s advantage on the social-cognitive task was eliminated (delta d = 0.12). Males who frequently engaged in extreme binges had exaggerated deficits on one of the visuospatial tasks, as did their female counterparts on the social-cognitive task. The results suggest sex-specific vulnerabilities associated with recent, frequent binge drinking, and support an evolutionary approach to the study of these vulnerabilities.

Keywords: sex differences, sexual selection, alcohol, binge drinking, cognitive deficits, vulnerabilities


Discussion

There is now consistent evidence that men generally have better developed visuospatial abilities than women (e.g., Hyde, 2005; Jones et al., 2003; Lawton, 2010; MacDonald & Hewlett, 1999), whereas women generally have better developed socialcognitive skills than men (e.g., Hall, 1984; Merten, 2005; Thompson & Voyer, 2014). The magnitude of these sex differences varies across context, and an evolutionary perspective can situate these contextual influences in the framework of sexual selection (Darwin, 1871). Sexual selection in the context of human evolution includes visuospatial (favoring men) and social-cognitive (favoring women) sex differences that confer advantages in competition for mates or other reproductively important resources and discriminative mate choice under favorable conditions (Geary, 2021). Following Zahavi (1975) and research on condition-dependent trait expression in nonhuman species (Cotton et al., 2004; Johnstone, 1995), Geary (2015, 2019) proposed that these sex differences are condition dependent in humans, such that their development and expression is a reliable indicator of exposure to, and resistance to degradation by stressors. The current study is the first to directly test this hypothesis in humans, and to propose that recent, frequent binge drinking acts as a neurotoxic stressor disrupting cognitive abilities in sex-specific ways. The typical advantages of men in visuospatial abilities (Voyer et al., 1995) and of women in social-cognitive abilities (Hall, 1984; Thompson & Voyer, 2014) were replicated among a group of emerging adults who never or rarely engaged in binge drinking in the past month. These sex differences were greatly attenuated or even reversed in a group of emerging adults who at least occasionally engaged in binge drinking in the recent past. Given the prevalence of binge drinking in this population—current estimates place the percentage of college student binge drinkers at 40%–50% (Croteau & Morrell, 2019; Krieger et al., 2018)—these findings suggest that sex-specific deficits among college students might be widespread. Recent data also indicate that although the prevalence of binge drinking among adolescents has declined in recent years (Chung et al., 2018), emerging and young adults are engaging in more binge drinking than in the past, reflecting a secular shift in the age of peak binge drinking (Patrick et al., 2019). These high prevalence rates and increasing age of peak heavy episodic drinking are especially concerning in light of the current findings, given that mate competition and choice are most intense during this developmental period. During the years that coincide with elevated binge drinking rates, competition for mating-relevant resources peaks and creates a period of high risk and high reward with regard to engaging in mating effort (Hill & Chow, 2002). Indeed, binge drinking may be an attractive risk-taking behavior to emerging adults in part because it serves as a costly social signal with the potential to yield high gain in a competitive mating market (Aung et al., 2019). As would be expected of sexually selected costly signals (Zahavi, 1975), our findings highlight that binge drinking does indeed come with costs. Under natural conditions, condition-dependent traits are vulnerable to chronic malnutrition, disease, or social conflict and appear to be more sensitive to man-made toxins than other traits (see Geary, 2015, 2019). Although heavy episodic exposure to ethyl alcohol might not be as detrimental as chronic exposure to natural stressors or many other toxins, chronic, heavy exposure to alcohol can result in short-term and sometimes longer-term but subtle deficits in memory and cognition (e.g., Goudriaan et al., 2007). Binge drinking might then reveal sex-specific vulnerabilities in visuospatial and social-cognitive abilities. Some previous studies of alcohol use have assessed similar abilities but sex differences are not always reported (Folgueira-Ares et al., 2017). When they are reported, the pattern of sex-specific deficits is mixed (Haut et al., 1989; Weissenborn & Duka, 2003). These prior studies often have been based on relatively small samples and have used standard neuropsychological measures that typically are not optimal for assessing sex-specific deficits. For instance, there are often small sex differences in spatial working memory and pattern recognition (tasks found in the Cambridge Neuropsychological Test Automated Battery; CANTAB), but sex differences on these tasks are smaller than those found for tasks used in the current study. The difference is important because from an evolutionary perspective, sex-specific vulnerabilities generally will be more evident for traits with larger sex differences (Geary, 2017). Our results provide preliminary evidence in support of this hypothesis. Men’s advantage on both visuospatial tasks was smaller among frequent binge drinkers than among infrequent binge drinkers and non-drinkers. Moreover, there was evidence for a dose-response effect for mental rotation, whereby very high and frequent exposures to ethyl alcohol (extreme binges) were related to worse performance, but only among men. At the same time, these same men did not show exaggerated deficits in the speed of identifying emotions displayed in facial Hone et al. 9 expressions. In judging line angles and position, binge drinking women were more accurate than were binge drinking men, a reversal of the standard sex difference in visuospatial abilities and of our findings for infrequent binge drinkers. We did not, however, find evidence for a dose-response effect for this measure. It is possible that men’s performance on this spatial measure is disrupted by more moderate levels of alcohol exposure with no further deficits emerging with added exposures, but this remains to be determined. In contrast, women who recently engaged in frequent binge drinking did not show visuospatial deficits relative to women who had not engaged in binge drinking, but they were slower at identifying emotions displayed in facial expressions, especially the expressions of other women. Men often display an advantage, relative to women, in judging anger on the faces of other men (see Geary, 2015). Here, this effect did not emerge for facial-expression decoding accuracy, or for reaction time. It is possible that the task used here did not include a sufficient number of angry male faces to provide a powerful test of this effect (which was not a primary focus of this study). There also was evidence of a dose-response effect in this measure, restricted to women. That is, women who frequently engaged in extreme binges were slower at emotion detection than were other women, but these same extreme binge drinking women did not show exaggerated deficits for mental rotation. This pattern is essentially a mirror image of that observed among men who frequently engaged in extreme binges. Nevertheless, follow-up studies with larger sample sizes of binge drinkers are need to determine if there are indeed sex-specific doseresponse effects for visuospatial and social-cognitive abilities. The overall pattern of sex-specific deficits found here is consistent with the expression of condition-dependent traits in other species (Cotton et al., 2004; Johnstone, 1995), and supports the more general hypothesis that the sex differences in visuospatial and social-cognitive abilities stem from different patterns of intrasexual competition among our male and female ancestors, respectively (Geary, 2015; Geary et al., 2014). Although this study was designed based on established predictions (Geary, 2015, 2019) that provided for a priori hypothesis testing based on well-established patterns in nonhuman species, the study provides only a quasi-experimental test of those predictions. It is possible that the differences we observed across frequent and infrequent binge drinkers preceded recent drinking episodes, as suggested by modestly lower vocabulary scores among the binge drinkers. If there were broader cognitive differences across the drinking groups, however, then the frequent binge drinkers should have performed more poorly than infrequent binge drinkers on all cognitive tasks, independent of sex and not in a sex-specific manner. Moreover, because vocabulary is a good indicator of general intelligence, any binge drinking group differences on the visuospatial and social-cognitive tasks should have disappeared with statistical control of vocabulary scores, but they did not. Different psychopathologies can also affect cognitive performance, for instance psychomotor slowing of responding in subjects with depression and anxiety (Bennabi et al., 2013; Gualtieri & Morgan, 2008). While we did not measure this in our study, and therefore could not fully control for this potential third variable, it is an interesting hypothesis to pursue in future studies. Concomitant drug use was also not measured, but can still influence cognitive performance (Davis et al., 2002; Quednow, 2017). It is currently unknown if drug use mitigates the interactive effects found here, or has an additive effect along with binge drinking frequency. Additionally, and as always, readers should interpret the results presented here with care in terms of multiple comparisons and post-hoc contrasts. Future research would benefit from the use of a longitudinal design that would permit assessment of changes in performance on measures of purported sexually selected traits over time, as a function of changes in binge drinking frequency. Although also not an experimental design, this kind of approach would permit stronger inferences regarding the role of recent binge drinking frequency by accounting for any preexisting differences across participants in their baseline levels of performance. Findings from such a study would further advance understanding of the extent to which exposure to this very common neurocognitive stressor specifically impairs abilities that evolutionary theory posits to be critical for sexual selection success. Despite these caveats, our results are unique and speak to the utility of using sexual selection as a means to identify and study sex-specific vulnerabilities, not just those associated with binge drinking but with exposure to myriad other potential stressors and toxins. 

Behavioral gender differences are reinforced during the COVID-19 crisis

Behavioral gender differences are reinforced during the COVID-19 crisis. Tobias Reisch et al. arXiv Oct 8, 2020. https://arxiv.org/pdf/2010.10470.pdf

Abstract: Behavioral gender differences are known to exist for a wide range of human activities including the way people communicate, move, provision themselves, or organize leisure activities. Using mobile phone data from 1.2 million devices in Austria (15% of the population) across the first phase of the COVID-19 crisis, we quantify gender-specific patterns of communication intensity, mobility, and circadian rhythms. We show the resilience of behavioral patterns with respect to the shock imposed by a strict nation-wide lock-down that Austria experienced in the beginning of the crisis with severe implications on public and private life. We find drastic differences in gender-specific responses during the different phases of the pandemic. After the lock-down gender differences in mobility and communication patterns increased massively, while sleeping patterns and circadian rhythms tend to synchronize. In particular, women had fewer but longer phone calls than men during the lock-down. Mobility declined massively for both genders, however, women tend to restrict their movement stronger than men. Women showed a stronger tendency to avoid shopping centers and more men frequented recreational areas. After the lock-down, males returned back to normal quicker than women; young age-cohorts return much quicker. Differences are driven by the young and adolescent population. An age stratification highlights the role of retirement on behavioral differences. We find that the length of a day of men and women is reduced by one hour. We discuss the findings in the light of gender-specific coping strategies in response to stress and crisis.


Tightwads (those who rank themselves as tightwads, laptop users who sit long hours over a single cup of coffee, cab drivers who fail to turn on air-conditioning on a hot day) cheat more than other people to avoid spending money

Do tightwads cheat more? Evidence from three field experiments. Yossef Tobol, Erez Siniver, Gideon Yaniv. Journal of Economic Behavior & Organization, Volume 180, December 2020, Pages 148-158. https://doi.org/10.1016/j.jebo.2020.10.003

Highlights

• Three field studies are designed to explore a connection between tightwads and cheating.

• The 1st study views tightwads as mall shoppers who rank themselves as tightwads.

• The 2nd study views tightwads as laptop users who sit long hours over a single cup of coffee.

• The 3rd study views tightwads as cab drivers who fail to turn on air-conditioning on a hot day.

• All three studies find that tightwads cheat more than other people to avoid spending money.

Rolf Degen's take: https://twitter.com/DegenRolf/status/1319877298355638275

Abstract: The paper reports the results of three field experiments designed to inquire whether tightwads, defined in the eco-psych literature as people who feel intense pain at the prospect of spending money, are more likely to cheat than other people in order to avoid paying. In the first experiment, passersby at a Tel-Aviv shopping mall were asked to answer a questionnaire that determined their pain of paying level. They were thereafter invited to perform an "inverse" version of the die-under-the-cup (DUTC) task that incentivized under-reporting of the actual die outcome to avoid paying money. In the second experiment, laptop users at Tel-Aviv coffee shops, who may unabashedly work long hours over a single cup of coffee, were offered to perform the inverse DUTC task upon leaving the shop and after recording the time and money they spent there. The third experiment was conducted with Jerusalem cab drivers, many of whom avoid turning on their air conditioning systems on hot summer days. The experiment involved riding both air-conditioned and non-air-conditioned cabs in Jerusalem and offering drivers, at the end of the ride, to perform the inverse DUTC task. In all three experiments, tightwaddism was found to have a statistically significant positive effect on cheating. The experimental findings are supported by a rational-choice model that predicts that cheating increases with the pain of spending money.

Key words: TightwadsPain of payingCheatingDie-under-the-cup task