ArticleBehavioral sciences (Basel, Switzerland)2026
Changes in Emotional and Vocal Expression in Job Interview Simulations with an AI-Enhanced Chatbot for University Students.
Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
This study examined whether AI-powered chatbot-based training was associated with changes in university students' Facial and Vocal Emotional Reaction Time Proportions during simulated job interviews. A one-group pretest-posttest design was conducted with 54 third- and fourth-year students enrolled in a Human Talent Management course at a private Latin American university. This study was implemented in an Applied Neuroscience Laboratory using iMotions-supported facial-expression recognition and vocal analysis technologies. Participants first completed a baseline simulated interview, followed by three chatbot-based training sessions using HR-expert-validated questions, end-of-session scoring, and qualitative feedback. A final simulated interview was then conducted to compare pre- and post-training indicators. Facial emotional reaction time was analyzed through aggregate indicators-positive, negative, neutral, confusion, and sentimentality-and specific facial-expression categories, including joy, surprise, anger, sadness, disgust, fear, and contempt. Vocal emotional reaction time was examined through happiness, sadness, anger, and neutrality. Pre-post differences were assessed using paired-samples
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