Hire me: Computational inference of hirability in employment interviews based on nonverbal behavior

Understanding the basis on which recruiters form hirability impressions for a job applicant is a key issue in organizational psychology and can be addressed as a social computing problem. We approach the problem from a face-to-face, nonverbal perspective where behavioral feature extraction and inference are automated. This paper presents a computational framework for the automatic prediction of hirability. To this end, we collected an audio-visual dataset of real job interviews where candidates were applying for a marketing job. We automatically extracted audio and visual behavioral cues related to both the applicant and the interviewer. We then evaluated several regression methods for the prediction of hirability scores and showed the feasibility of conducting such a task, with ridge regression explaining 36.2% of the variance. Feature groups were analyzed, and two main groups of behavioral cues were predictive of hirability: applicant audio features and interviewer visual cues, showing the predictive validity of cues related not only to the applicant, but also to the interviewer. As a last step, we analyzed the predictive validity of psychometric questionnaires often used in the personnel selection process, and found that these questionnaires were unable to predict hirability, suggesting that hirability impressions were formed based on the interaction during the interview rather than on questionnaire data.

Do Financial Incentives Affect Firms' Demand For Disabled Workers?

A number of OECD countries aim to encourage work integration of disabled persons using quota policies. For instance, Austrian firms must provide at least one job to a disabled worker per 25 nondisabled workers and are subject to a tax if they do not. This "threshold design" provides causal estimates of the noncompliance tax on disabled employment if firms do not manipulate nondisabled employment; a lower and upper bound on the causal effect can be constructed if they do. Results indicate that firms with 25 nondisabled workers employ about 0.04 (or 12%) more disabled workers than without the tax; firms do manipulate employment of nondisabled workers but the lower bound on the employment effect of the quota remains positive; employment effects are stronger in low-wage firms than in high-wage firms; and firms subject to the quota of two disabled workers or more hire 0.08 more disabled workers per additional quota job. Moreover, increasing the noncompliance tax increases excess disabled employment, whereas paying a bonus to overcomplying firms slightly dampens the employment effects of the tax.

Employers' attitudes towards long-term unemployed people and the role of activation in Switzerland

Over the last few years, most OECD countries have extended their activation policy to new groups of non-working people, including the long-term unemployed (LTU). However, it is widely known that employers tend to regard LTU people as potentially problematic persons. This is likely to constitute a major obstacle for long-term unemployed jobseekers. On the basis of a survey among employers in a Swiss canton (N = 722), this article aims to shed light on the perception employers have of the long-term unemployed and whether this may matter for their recruitment practices. It also asks what, from the employer point of view, may facilitate access to employment for an LTU person. A key finding is that large companies have a worse image of the long-term unemployed and are less likely to hire them. Furthermore, independent of company size, a test period or the recommendation of a trustworthy person is seen as the factors most likely to facilitate access to jobs for LTU people.