[4D4-OS-4c] Affective Computing(3/3)

[4D4-OS-4c-01] Identification of Automatic Thoughts in Cognitive Restructuring with a Virtual Agent

〇Kazuhiro Shidara¹, Hiroki Tanaka¹, Hiroyoshi Adachi², Daisuke Kanayama², Yukako Sakagami², Takashi Kudo², Satoshi Nakamura¹ (1. Nara Institute of Science and Technology, 2. Osaka University)

Keywords:Cognitive restructuring, Embodied conversational agent, Automatic thought, Mental health, Dialogue processing

Cognitive behavior therapy with virtual agents has been proposed for the purpose of promoting mental health. On the other hand, there is a lack of quantitative analysis of the dialogue content. Therefore, we analyzed the automatic thoughts of users using dialogue data based on cognitive restructuring with a virtual agent. As a result of the evaluation by a psychiatrist, 36.1% of the experimental participants were unsuccessful in identifying the automatic thoughts. Therefore, we propose a classifier to classify the success or failure of identifying automatic thoughts as a basic technology for guiding the identification of automatic thoughts. We performed supervised learning using the automatic thought sentences collected in the dialogue experiments and the automatic thoughts published in medical books as training data. As a result, the F1-score was 0.833. This classifier has the potential to allow virtual agents to automatically guide the identification of automatic thoughts.