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Updated: Oct 21, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
Published on: December 23, 2025
A GenAI-supported job interview training robot for young adults with special education needs
1Institute of Special Needs and Inclusive Education, The Education University of Hong Kong, Hong Kong, China.
Background And Aims:
Employment opportunities for young adults with special education needs (YA-SEN) are often less favourable compared to their peers without SEN. They are often anxious during interviews, especially when answering open-ended questions with unfamiliar interviewers and unexpected interruptions occur. To fill the gap, we developed an interactive job interview training (JIT) system featuring a cat-shaped robot - JIT-bot.
Sample:
JIT-bot was designed to provide an engaging, adaptive, and personalised training experience that supported users to practice and refine their interviewing skills in a less stressful environment. We recruited 28 participants in our study.
Methods:
A mixed-method approach was employed, including proficiency tests, interviews, and questionnaires.
Results:
Results provided preliminary evidence that the experimental group showed a statistically significant improvement in intrinsic motivation. In contrast, the behavioural engagement of the control group decreased slightly. These findings and feedback will suggest future enhancements to JIT-bot's features and functions, making it a valuable tool to support JIT for YA-SEN.
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