TOHAI: Tokyo-Oulu Joint Symposium on Human-AI Interaction
October 24-25, Tokyo, Japan (+ Zoom, Online)
Organized by IIS Lab, Tokyo College, and Crowd Computing
tohai is all about
Connecting Dots
In an era marked by rapid globalization and technological advancement, collaboration is key. A joint research symposium between two distant institutions sharing the same goals helps pool intellectual resources and offers a safe venue to present emerging and even unpublished work.
TOHAI showcasing visions, empirical case studies and ongoing work from diverse people interested in the future and interplay of humans and AI.
Tuesday, October 24 (day 1)
10:00 Opening words (Koji & Simo)
10:10: Talk 1
10:30: Talk 2
10:50: Q&A
11:15 Lunch break (bento party)
12:00 Talk 3
12:20: Talk 4
12:30 Q&A
13:00 Break
13:30 Lab Visit: IISLAB
Wednesday, October 25 (day 2)
10:00 Opening words (Simo & Koji)
10:10: Talk 5
10:30: Talk 6
10:50: Q&A
11:15 Lunch break (bento party)
12:00 Talk 7
12:20: Talk 8
12:30 Q&A
13:00 Break
13:30 Lab Visit: TBD
Invited Speakers
TOHAI features talks from diverse viewpoints:
Niels van Berkel
Associate Professor, Aalborg University, Department of Computer Science, Human-Centered Computing Group
This talk emphasizes improving human decision-making through AI support systems while also addressing the importance of critical reflection on AI recommendations. Case studies will highlight the challenges and opportunities of integrating human-centered AI technology.
Benjamin Tag
Lecturer, Monash University, Australia
In this talk, Dr. Tag explores the intricacies of Human-AI interactions, focusing on AI's role in recognizing and influencing human emotions. The talk also considers future advancements in this field, highlighting both potential opportunities and challenges in the evolving landscape of emotion regulation through AI.
Chi-Lan Yang
Assistant professor, Graduate School of Interdisciplinary Information Studies, the University of Tokyo
Our interpersonal interaction is mediated by intelligent technology. In this workshop, I will share empirical findings on how we leverage intelligent technology to enhance social cues in supporting group communication and discuss future direction on AI-mediated communication.
Daniel Szabo
Research Assistant, University of Oulu
Social robots are being increasingly explored across a variety of important domains. Daniel introduces his work on trust factors of social robot applications, specifically in the context of higher education campuses. The talk will also discuss ongoing applied work on how robots can facilitate human connections on-campus.
Will Guzman
M.Sc. Student, University of Tokyo
...
Alyssa Castillo YAP
M.Sc. Student, University of Tokyo
...
Zefan Sramek
Doctoral Researcher, University of Tokyo
Social media with their recommender algorithms dictates what we see and hear. This talk discusses social media addiction and overuse, and introduces novel mobile methodologies to potentially reduce the harmful effects of too much social media use. In particular, the focus of the talk is on Instagram.
Zhanna Sarsenbayeva
Lecturer, University of Sydney
This talk delves into the significance of considering both temporal and permanent impairments in mobile technology design. Dr. Sarsenbayeva explores the evolution and progress of accessibility research over the past two decades. Additionally, future directions for accessibility within HCI and Computer Science will be discussed.
Laboratory Visits
On October 24, we will visit the Interactive Intelligent Systems laboratory.
On October 25, we will visit...
Organizers:
Koji Yatani; University of Tokyo (leading the Interactive Intelligent Systems Laboratory)
Simo Hosio; University of Oulu & University of Tokyo (leading the Crowd Computing Research Group, currently visiting IISLAB)
Contact Information
Location:
tohai@crowdcomputing.net
Phone: +81 80-9433-8784