The information on this page is subject to change at a later date.
Date: Monday 10th of November, 2025
Location: Keio University Hiyoshi Campus Raiosha ( Google map ).
List of Workshops
- Future Wellbeing: A Hands-on Design Fiction Workshop Exploring Human-Agent Interaction and Mental Health
- Cognitive Bias in AI Recommendations: Understanding and Mitigating Human-AI Decision-Making Errors making
- Retico: A Framework for Robot-/IVA-ready Spoken Dialogue
- HAI Horizons: Showcasing Early-Career Research from Non-Native English Speakers
- Together or Apart: Designing Boundaries for Personal Intelligent Agents
- Workshop on Socially Aware and Cooperative Intelligent Systems
Future Wellbeing: A Hands-on Design Fiction Workshop Exploring Human-Agent Interaction and Mental Health
Workshop Summary
This hands-on workshop will explore the potential implementations of human-agent interaction and mental health, with a specific focus on virtual companions. To achieve this, we will be using design fiction to anticipate individual, societal, ethical, and cultural implications. In this workshop, we will together create design fiction stories that explore virtual companions and practical, ethical, and societal issues with their possible implementation in mental healthcare.
Workshop Page
Location & Length
TBD & Full Day
Workshop Organizers
- Negin Hashmati, Chalmers University of Technology & University of Gothenburg, Sweden
- Therése Skoog, University of Gothenburg, Sweden
- Mohammad Obaid, Chalmers University of Technology & University of Gothenburg, Sweden
- Thommy Eriksson, Chalmers University of Technology & University of Gothenburg, Sweden
Cognitive Bias in AI Recommendations: Understanding and Mitigating Human-AI Decision-Making Errors making
Workshop Summary
Artificial Intelligence (AI) systems increasingly influence human decision-making, from search engine suggestions to hiring recommendations. However, these systems often reinforce cognitive biases, leading to skewed perceptions and decision errors. This workshop will examine the intersection of cognitive biases and AI-generated recommendations, providing UX researchers, designers, and HCI practitioners with strategies to design transparent, fair, and bias-aware AI systems. Additionally, it will include people who use AI in their daily lives to help them realize the impact AI has on their choices. Through interactive discussions, usability studies, and real-world case analyses, participants will explore methods to identify and mitigate cognitive biases in AI recommendations. The workshop aims to foster collaboration and generate insights for a forthcoming publication on bias-aware AI design.
Workshop Page
TBD
Location & Length
TBD & Half Day
Workshop Organizer
- Prasasti Aich, Nevis Infosystems, India
Retico: A Framework for Robot-/IVA-ready Spoken Dialogue
Workshop Summary
Retico is a framework written in Python for developing systems that are incremental; i.e., they process streaming dialogue at the word level. Retico is also an ecosystem of modules including speech recognition, language understanding, dialogue management, language generation, object detection, logging, robot bindings, ROS and ZeroMQ bindings, sensor modules like cameras and microphones (among others) and tools for creating custom modules. The overarching goal of Retico is to enable researchers to more easily add spoken dialogue capabilities to robots and virtual agents. The objectives of the tutorial are to (1) inform the broader community about Retico, it’s capabilities, and potential for use in research and (2) give participants a practical guide and first-hand experience in using Retico. The tutorial will first introduce participants to Retico: how to find it and what modules are already available. We will then show them how to plug the modules together to build a fully working system with examples. We will then help participants build their own modules and give them some time to work so they recognize how easy it is to make new modules and plug them into existing systems. We will also show participants how to use the tools such as visualization, logging, and bindings with Copellia Sim, a robot simulation platform.
Workshop Page
TBD
Location & Length
TBD & Half Day
Workshop Organizers
- Casey Kennington, Boise State University, USA
- Catherine Henry, Boise State University, USA
HAI Horizons: Showcasing Early-Career Research from Non-Native English Speakers
Workshop Summary
This workshop aims to support early-career researchers in the field of Human-Agent Interaction (HAI), especially those from non-native English-speaking backgrounds. Despite increasing global engagement, many talented researchers face challenges in presenting their work internationally due to language barriers and limited opportunities. By providing a platform to present research in English in a supportive and peer-driven environment, this workshop will foster accessibility, visibility, and confidence among participants. Presentations will be followed by extended and moderated Q&A sessions to encourage inclusive discussion. The workshop also invites guest talks from early-career researchers who exemplify innovative HAI research, promoting role models for the next generation. Overall, the workshop seeks to lower entry barriers and empower underrepresented voices in the global HAI community.
Workshop Page
TBD
Location & Length
TBD & Half Day
Workshop Organizers
- Takahiro Tsumura, Toyo University, Japan
- Tomoya Minegishi, Senshu University, Japan
- Yosuke Fukuchi, Tokyo Metropolitan University, Japan
- Takafumi Sakamoto, Shizuoka University, Japan
- Yotaro Fuse, Toyama Prefectural University, Japan
Together or Apart: Designing Boundaries for Personal Intelligent Agents
Workshop Summary
Personal intelligent agents (IAs) are increasingly embedded in everyday life, a trend accelerated by generative AI technologies. Despite their growing presence, these agents often remain fragmented across different life domains and environments. This workshop explores how to design integrated IA ecosystems emphasizing continuity, coordination, and human-centered values. Participants with varied perspectives will collaboratively develop frameworks, scenarios, and guidelines for cohesive personal agent systems that enrich user experiences holistically. By examining factors that shape users’ preferences for information integration or separation, we aim to inform the design of coherent, user-aligned multi-agent systems.
Workshop Page
Location & Length
TBD & Half Day
Workshop Organizers
- Hyunmin Kang, Stanford University, Republic of Korea
- Seul Chan Lee, Hanyang University ERICA, Republic of Korea
- Jihyun Jeong, Cornell University, USA
- Hyochang Kim, Stanford University, Republic of Korea
- Myounghoon Jeon, Virginia Tech, USA
Workshop on Socially Aware and Cooperative Intelligent Systems
Workshop Summary
This workshop theme centers on the development of AI agents and systems that are capable of understanding, adapting to, and reacting to collaborate with humans in compliance with the social norms. These systems leverage insights from social psychology, cognitive science, robotics, and AI to interpret social cues, anticipate the needs of others, and coordinate actions effectively within dynamic and often unpredictable contexts. We focus on embedding social awareness into AI systems, leading to Cooperative Intelligence which focuses on building trust and relationship between humans and intelligent systems, instead of focusing on functions to replace humans. This paradigm is expected to realize a hybrid society, where humans coexist with ubiquitous intelligent agents.
Workshop Page
TBD
Location & Length
TBD & Full Day
Workshop Organizers
- Jouh Yeong Chew, Honda Research Institute Japan, Japan
- Alan Sarkisian, Honda Research Institute Japan, Japan
- Christiane Wiebel-Herboth, Honda Research Institute Europe, Germany
- Christiane Attig, Honda Research Institute Europe, Germany
- Zhaobo Zheng, Honda Research Institute USA, Inc, USA
- Shigeaki Nishina, Honda Research Institute Japan, Japan