The Influence of Different Personality Traits on Advice Preferences in a Stress Management Intervention using Self-reports and Physiological Signals: Implications for Chatbot Design

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Key Points

The central aim is to explore how different personality traits affect advice preferences in stress management interventions.
Developed a spoken dialogue system using the Remdis platform.
Implemented a large scale language model to simulate patient interactions.
Utilized techniques such as speech recognition, turn-taking, and speech synthesis.
Conducted evaluation experiments with university students and therapists.
The system received high evaluations for intuitive operability and speech synthesis quality.
Participants found the system useful for interview practice in the medical field.
High rates of speech recognition and successful response generation were observed.
The reliability of the system's basic performance was confirmed.

Evaluates a dialogue system for therapist practice, suggesting its usefulness in stress management interventions.

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Nakashima et al. (2026) studied this question.

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