私たちは、個人・二者関係・集団の各レベルにおいて、人々がより意味のある人生を送れるよう支援する知的技術の探究と設計に取り組んでいます。
ぜひ私たちとともに、この探究をさらに広げていきましょう！
We explore and design intelligent technologies to support human to have a meaningful life at individual, dyadic, and group level.
Join us to expand our exploration further!
By DALL·E and Chi-Lan
本研究テーマでは、知的技術（すなわちAI）の設計と、それらが人間の高次思考（創造性・批判的思考・メタ認知など）の支援に与える影響の解明に焦点を当てています。
また、知的人工物の多様な社会的特性やインタラクション戦略を探究・設計し、その強みを最大限に引き出すと同時に、人間の高次思考に対する負の影響を最小化することを目指します。最終的には、人間がAIに置き換えられるのではなく、AIとともに成長できる関係の実現を目指します。
In this line of research, we focus on designing intelligent technologies (i.e., AIs) and investigating their impact on supporting human higher-order thinking, including creativity, critical thinking, and metacognition.
We explore and design various social characteristics or interaction strategies of the intelligent artifacts to maximize their strength and minimize their negative impacts on human higher-order thinking. The goal is to enable humans to grow with AI but not be replaced by AI.
Example projects:
Understanding the varying timings of LLM usage in AI-assisted ideation (ongoing research led by Peinuan Qin from AI4SG Lab at the National University of Singapore; CHI'25)
Understanding the impact of opinionated-chatbot on subsequent interpersonal online discussion (ongoing research led by Tianqi Song from AI4SG Lab at the National University of Singapore)
Investigating how generative AI tools influence visual style development for concept and visual artists (ongoing research led by WenFan Wang and Tsai-Hsuan Lin at National Taiwan University)
Designing intelligent technologies to support the development of psychological resilience (ongoing research with Dr. Hirano from Ochanomizu University and Dr. Yatani from IISLab in the University of Tokyo)
Keywords: Human-AI collaboration, AI-assisted creativity, psychological resilience
By DALL·E and Chi-Lan
本研究テーマでは、有意味な(meaningful)遠隔コミュニケーション（例：テキストベースのコミュニケーションやビデオ会議）を理解し、より良い職場関係、異文化間交流、世代間コミュニケーション、親密な関係の構築を支援することに焦点を当てています。
また、技術（すなわちAI）を用いて対人コミュニケーションを媒介し、拡張された社会的手がかりの探究と設計を行います。本プロジェクトは、多様なコミュニケーション目的に応じた有意味な社会的相互作用の促進を目指しています。
In this line of research, we focus on understanding and supporting meaningful remote communication (e.g., text-based communication, videoconferencing) for better workplace, intercultural, cross-generational, or intimate relationships.
We explore and design augmented social cues by using technologies (i.e., AIs) to mediate interpersonal communication. This project aims to facilitate meaningful social interaction for diverse communication purposes.
Example projects:
Understanding the impact of technical issues on impression formation in video conferencing (CSCW’24)
Supporting video conferencing using a collective behavior-driven avatar (CSCW’24)
Understanding and supporting peer review using AI-reframed positive summary (CHI'25)
Developing and evaluating a Meaningful Social Interaction Scale (ongoing research)
Designing AI-reframed messages for conflict management in difficult conversations (ongoing research)
Supporting affective grounding using augmented body language in text-based communication and social VR (ongoing research led by Ryo Ohara from the Cyber Interface Lab at the University of Tokyo)
Understanding and supporting reflection for communication failure among cross-cultural friends using AI-generated digests (Led by Seraphina Yong from GroupLens at the University of Minnesota; CSCW'25)
Understanding and supporting online job interviews over video conferencing for people who stutter (ongoing research led by Yingting Chen from the University of Tsukuba and Shaomei Wu from AImpower.org)
Exploring and supporting the hidden relational effort for relationship building in online dating (ongoing research with Tina Yuan from National Taiwan University)
Keywords: Computer-mediated communication, AI-mediated communication, inter-group communication, social cues
By DALL·E and Chi-Lan
本研究テーマでは、社会的学習、社会的承認、社会的促進、社会的抑制などの社会心理学理論を再検討し、人間とAIが混在する集団において、個人の認知や行動がどのように変化するのかを明らかにすることに焦点を当てています。
また、複数エージェントが存在する状況下で、個人あるいは小集団がどのように相互作用するのかを、多様なコミュニケーション文脈（例：対立の発生、困難な意思決定、脆弱な感情の開示など）において検討します。
本研究テーマの目的は二つあります。第一に、従来の対人相互作用に基づく社会心理学理論が、人間と社会的AIとの相互作用にも一般化できるのかを再検討・再考すること。第二に、望ましい社会的行動を形成・促進するためのマルチエージェントシステムを設計することです。
In this line of research, we focus on revisiting social psychology theories (e.g., social learning, social validation, social facilitation, social inhibition, etc) to examine how individuals’ perceptions and behavior change in mixed human-AI groups.
We study how an individual or a small group of people interact with one another in the presence of multi-agents in various communication contexts (e.g., having conflict, making hard decisions, disclosing vulnerable moments). The goal of this project is twofold: (1) to revisit and reflect on the generalizability of social psychology theories from social interaction to human-social AI interaction; (2) to design multi-agent systems for shaping positive social behavior.
Example projects:
Understanding the impact of AI-generated danmaku on presenters’ and audience’ engagement in online presentations (ongoing research with Shigeo Yoshida from OMRON SINIC X Corporation, Japan)
Designing multi-agents for supporting conflict management in cross-cultural communication (ongoing research)
Designing multi-agents for supporting female users to cope with PMS (ongoing research led by Shixian Geng from IISLab at the University of Tokyo; CHI'25)
Understanding and supporting equal gender participation in video conferencing with multi-agents (ongoing research with Wen Duan from Clemson University)
Understanding attachment in human-AI relationships and designing detachable AI for healthy human-AI relationships (Ongoing research)
Keywords: Social AI, mixed human-AI groups, social psychology, multi-agents