NEWS ニュース 202510.16 [Symposium] Understanding Mind and Society Posted in Event With the rapid development of computational science and psychological theory, researchers now have an increasingly diverse set of tools to explore the human mind and social phenomena. However, new opportunities also come with new challenges: how can we effectively integrate emerging technologies into our own research? This symposium focused on methodological innovation, exploring multiple ways to apply new approaches in research—including novel experimental paradigms, advanced data-analytic methods, and theoretical frameworks. By combining theoretical, experimental, and computational perspectives, we aimed to deepen and integrate our understanding of the human mind within its social context. Understanding Mind and Society: Theoretical, Experimental, and Computational Innovations Date：10/16 (Thursday) 15:30-18:00 Venue：Dept. Human Brain Science, 3rd floor SA Building, IDAC Format：Hybrid（onsite＋zoom） Program Prof. HU Chuan-Peng: Self-Bias and Its Boundaries: A Computational Perspective In the past decade, psychologists have accumulated substantial evidence for self-bias—the phenomenon that people process self-related information faster and more accurately. However, computational models of this effect are still lacking. Within the framework of evidence accumulation models, we studied self-bias using the self-matching task and found that it may result from more efficient information uptake. To explore the boundaries of self-bias, we developed a novel computational framework that incorporates both the behavioral data and the experimental designs under which these data were produced. Our initial results suggest that self-bias effects, as measured by the self-matching task, vary across the experimental design space. This computational framework provides new insights into the cognitive mechanisms underlying self-bias. Dr. DING Yi: Rethinking Self-Evaluation: A Socially Grounded Framework While self-evaluation has long been conceptualized as an internal cognitive process, recent evidence suggests that it is dynamically regulated by social relationships. Previous studies have shown that social feedback—such as acceptance and rejection—can influence how individuals evaluate themselves. However, the neural mechanisms linking social relationships to self-evaluation remain unclear. To address this gap, we propose a socially grounded framework of self-evaluation that captures its dynamic and adaptive nature within social contexts. Our results provide empirical support for a dynamic model in which self-evaluation is socially embedded and adaptively regulated. This self-evaluation framework offers a new direction for understanding the interplay between mind and society. Break （20min） Dr. LIU Chunlin: Conversing with AI inside the Scanner: A Novel fMRI Paradigm for Studying Real-Time Human–AI Dialogue Recent advances in large language models (LLMs) have enabled real-time human–AI interaction, creating new opportunities for studying communication in ecologically valid yet controlled settings. This study introduces a novel LLM–fMRI paradigm allowing participants to engage in free, turn-by-turn English conversation with ChatGPT inside the MRI scanner. Fourteen Japanese learners of English participated under three feedback conditions: no feedback, explicit correction, and implicit recast. Our results revealed activation in language-related and socio-emotional regions, indicating that AI-delivered feedback dynamically modulates both linguistic and emotional processing. This methodological innovation demonstrates that real-time human–AI conversation can be successfully implemented in fMRI, bridging ecological validity and experimental precision. The paradigm opens new avenues for neurocognitive research on human–AI communication, adaptive feedback processing, and the future integration of AI-based dialogue systems into cognitive neuroscience and language education. 12 participants on-site, 17 participants online (excluding duplicates) Attachments Back to the list Previous article Back to the list Next article Archive Monthly August 2026March 2026January 2026December 2025November 2025October 2025September 2025August 2025July 2025June 2025May 2025April 2025 Yearly 2026202520242023
