4 citations · 8 across the 12 of their papers we have counts for
4 papers · 1 filter
When AI Gets Persuaded, Humans Follow: Inducing the Conformity Effect in Persuasive Dialogue
Rikuo Sasaki, Michimasa Inaba
Recent advancements in AI have highlighted its application in captology, the field of using computers as persuasive technologies. We hypothesized that the "conformity effect," wher…
Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization
Manato Tajiri, Michimasa Inaba
Conversational Recommender Systems (CRSs) aim to elicit user preferences via natural dialogue to provide suitable item recommendations. However, current CRSs often deviate from rea…
EmoStage: A Framework for Accurate Empathetic Response Generation via Perspective-Taking and Phase Recognition
Zhiyang Qi, Keiko Takamizo, Mariko Ukiyo +1
The rising demand for mental health care has fueled interest in AI-driven counseling systems. While large language models (LLMs) offer significant potential, current approaches fac…
KokoroChat: A Japanese Psychological Counseling Dialogue Dataset Collected via Role-Playing by Trained Counselors
Zhiyang Qi, Takumasa Kaneko, Keiko Takamizo +2
Generating psychological counseling responses with language models relies heavily on high-quality datasets. Crowdsourced data collection methods require strict worker training, and…