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The Effects Of AI-powered Virtual Agents On Job Seekers’ Interview Skills

Randazzo, Rosita (2025) The Effects Of AI-powered Virtual Agents On Job Seekers’ Interview Skills.

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Abstract:Effective interview preparation is crucial for job seekers’ success in obtaining their desired positions and for achieving organisational fit. However, many job seekers struggle to communicate their skills effectively during job interviews. This is due to a combination of factors, including a lack of self-awareness in their own knowledge and skills and interview anxiety. Research suggests that practice and feedback have positive effects on interview performance. Nevertheless, for job seekers, obtaining objective and qualitative feedback can be challenging. This is why, relying on the principles of experiential learning theory, AI-powered virtual agents are believed to benefit job seekers by providing them with personalised experiences and feedback, as well as guidance in reflections and decision-making. Therefore, the following research explores the effects of job seekers’ practice and feedback with AI-powered virtual agents on honest impression management, deceptive impression management, interview anxiety, and self-efficacy in job interview simulations by investigating the following research question: “What is the effect of practice and feedback with AI-powered virtual agents in job interview simulations on job seekers’ impression management tactics, interview anxiety, and self-efficacy?”. For this research, a field experiment with two-group pre- and post-test design was developed. Findings showed that practice and feedback with AI-powered virtual agents are as effective in increasing honest impression management tactics as traditional training methods. Furthermore, job seekers who used the AI-powered virtual agent reported a significant decrease in interview anxiety, highlighting their potential effectiveness. Finally, although post-test scores in the experimental group showed a slight increase in self-efficacy, these results were not statistically significant.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:81 education, teaching
Programme:Educational Science and Technology MSc (60023)
Link to this item:https://purl.utwente.nl/essays/105306
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