4 citations · 8 across the 12 of their papers we have counts for
12 papers
Beyond Reflection: Affirmation as a Promising Behavioral Marker Associated with Quality in Text-Based Counseling
Michimasa Inaba
While AI-assisted text-based counseling is gaining attention, it remains empirically unclear which counselor behaviors are associated with higher dialogue quality. Existing researc…
Multilingual KokoroChat: A Multi-LLM Ensemble Translation Method for Creating a Multilingual Counseling Dialogue Dataset
Ryoma Suzuki, Zhiyang Qi, Michimasa Inaba
To address the critical scarcity of high-quality, publicly available counseling dialogue datasets, we created Multilingual KokoroChat by translating KokoroChat, a large-scale manua…
Enhancing Consistency of Werewolf AI through Dialogue Summarization and Persona Information
Yoshiki Tanaka, Takumasa Kaneko, Hiroki Onozeki +6
The Werewolf Game is a communication game where players' reasoning and discussion skills are essential. In this study, we present a Werewolf AI agent developed for the AIWolfDial 2…
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…
Enhancing Dialogue Generation in Werewolf Game Through Situation Analysis and Persuasion Strategies
Zhiyang Qi, Michimasa Inaba
Recent advancements in natural language processing, particularly with large language models (LLMs) like GPT-4, have significantly enhanced dialogue systems, enabling them to genera…
Data Augmentation Integrating Dialogue Flow and Style to Adapt Spoken Dialogue Systems to Low-Resource User Groups
Zhiyang Qi, Michimasa Inaba
This study addresses the interaction challenges encountered by spoken dialogue systems (SDSs) when engaging with users who exhibit distinct conversational behaviors, particularly m…
Can Large Language Models be Used to Provide Psychological Counselling? An Analysis of GPT-4-Generated Responses Using Role-play Dialogues
Michimasa Inaba, Mariko Ukiyo, Keiko Takamizo
Mental health care poses an increasingly serious challenge to modern societies. In this context, there has been a surge in research that utilizes information technologies to addres…
SumRec: A Framework for Recommendation using Open-Domain Dialogue
Ryutaro Asahara, Masaki Takahashi, Chiho Iwahashi +1
Chat dialogues contain considerable useful information about a speaker's interests, preferences, and experiences.Thus, knowledge from open-domain chat dialogue can be used to perso…
Enhancing Consistency in Multimodal Dialogue System Using LLM with Dialogue Scenario
Hiroki Onozeki, Zhiyang Qi, Kazuma Akiyama +3
This paper describes our dialogue system submitted to Dialogue Robot Competition 2023. The system's task is to help a user at a travel agency decide on a plan for visiting two sigh…