Thursday, March 5, 2020

Evaluating photos of applicants for a position of software developer gave highest competence to smiling faces, then to faces with a neutral expression, the worst rating was associated with a thinking pose

How to pose for a professional photo: The effect of three facial expressions on perception of competence of a software developer. Petra Filkuková  Magne Jørgensen. Australian Journal of Psychology, March 3 2020. https://doi.org/10.1111/ajpy.12285

Abstract
Objective: Prospective employers can nowadays easily access applicants' photos via Internet, for instance on for instance on professional and social networks or previous employers' websites. In our study, we investigated whether a facial expression in a picture affects evaluation of one's competence for a position where facial qualities are not crucial, namely a position of a software developer.

Method: In Study 1, both “models” and participants were employed in IT companies. The experiment followed a 3 x 3 x 2 design, with facial expression (smile, neutral, and thinking) and evaluator's experience in hiring as between‐subjects factors and gender of the model as a within‐subjects factor.

Study 2 was a survey among software specialists where we investigated their awareness of the impact of applicants' face on the evaluation of his/her competence.

Results: When the models smiled, they were perceived as more competent than when they had a neutral expression. When models adopted a thinking pose, they were evaluated as the least competent. Fifty‐five percent of the sample was previously involved in hiring employees; the amount of hiring experience had no impact on this effect. Women were perceived as less competent than men and an interaction analysis revealed that this effect was driven by participants without prior experience in hiring. In Study 2, software specialists assigned a significant role in hiring decisions to the applicant's competent physical appearance, only 10% of participants thought that employers were hardly ever affected by the applicant's face.

Conclusion: Facial expression in a photo affects perceived competence of applicants for a position of a software developer regardless of evaluators prior hiring experience for this type of job.

What is already known about this topic:
Prospective employers are frequently exposed to applicants' pictures, as the majority of companies use social media for recruiting and/or screening job applicants.
People can make judgments on the basis of a photo after only 0.1‐second exposure and these correlate highly with judgments made in the absence of time constraints
Smile is the most studied facial expression. Smiling has been associated with submission, warmth and happiness, findings on the relationship between smiling and perceived intelligence are mixed.

What is new:
Software specialists evaluating photos of applicants for a position of a software developer ascribed highest competence to smiling faces, followed by faces with a neutral expression, the worst competence rating was associated with a thinking pose.
Female applicants were perceived as less competent than male applicants and this effect was driven by evaluators without prior experience in hiring.
Software specialists are aware that their hiring decisions are affected by applicants'facial attributes.

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