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International Christian University (ICU)
Introduction
We conduct interdisciplinary research aimed at understanding and supporting human cognitive interaction, with a particular focus on individuals with autism spectrum disorder. Our work integrates multimodal data, including EEG signals and speech, to analyze cognitive and communicative processes. In parallel, we develop and evaluate assistive technologies designed to enhance communication and social interaction.
We prioritize publishing papers in international academic journals.
Profile of Hiroki Tanaka (Principal Investigator)
Google Scholar, ResearchGate, LinkedIn, ORCiD, ICU researchers, Github
Keywords
Keywords
Multimodal Interaction, Dialogue Support, Autism Spectrum, Affective Computing, Assistive Technology
Collaboration
Collaboration
Our research is interdisciplinary and collaborative, integrating expertise from psychology, education, linguistics, and psychiatry.
Member Statistics
Member Statistics
AY 2026: 2 Master's course students and 8 senior thesis students
AY 2025: 1 Master's course student and 8 senior thesis students
AY 2024: 2 senior thesis students
AY 2016–2023 at NAIST: 6 doctoral course students and 13 Master's course students
Thesis Titles
Thesis Titles
AY2025
Transfer Learning for Motor Imagery BCIs: Linear Probing, Fine-Tuning, and Unity Game Integration
The Effect of Virtual Character Lip-Syncing on Human Perception and Pupil Responses
Evaluating the safety of generative AI usage for mental health support
A Component-wise Analysis of Pragmatic Metacognitive Prompting (PMP) for Sarcasm Detection
Multi-Model Alpha Generation Using Market, Sentiment, and Macroeconomic Signals
Eye-Gaze Behavior in Web-Based Tasks: An Experimental Investigation of the Relationship Between Peripheral Vision and Task Efficiency With Age Held Constant
Unsupervised Classification of ASMR Triggers: A Comparative Study of Tensor Decomposition and PCA
Communication Characteristics of Children with ASD and TD Peers as Reflected in Speech-Derived Features in SST: An Analysis Using Interpretable Machine Learning Models
AY2024
Exploring EEG-indicators to Evaluate Auditory Processing Disorder
AI-Generated Music with Lyrics Based on Common Cognitive Distortions to Alleviate Negative Thoughts
Contact
Contact
Division of Arts and Sciences, College of Liberal Arts, International Christian University, Japan
Email: hiroki.tanaka@icu.ac.jp
Office: T341
Address: Troyer Memorial Arts and Sciences Hall, 3-10-2 Osawa, Mitaka, Tokyo 181-8585
Link
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