Experimental Study Toward Modeling of the Uncanny Valley Based on Eye Movements on Human/Non-human Faces. - Yoshimasa Tawatsuji; Kazuaki Kojima; Tatsunori Matsui (HCI (4), 2013)

Proposal for the Model of Occurrence of Negative Response toward Humanlike Agent Based on Brain Function by Qualitative Reasoning. - Yoshimasa Tawatsuji; Keiichi Muramatsu; Tatsunori Matsui (HCI (2), 2014)

An Experimental Study on the Effect of Repeated Exposure of Facial Caricature on Memory Representation of a Model's Face. - Yoshimasa Tawatsuji; Yuki Iizuka; Tatsunori Matsui (HCI (3), 2015)

Qualitative Model for Neuro-Functional Mechanism Inducing Human Error Detection to Humanlike Agents Based on Cortico-Cerebellar Function. - Yoshimasa Tawatsuji; Tatsunori Matsui (HCI (27), 2016)

Proposal for Primitives Representing Brain Function of Facial Expression Recognition. - Yoshimasa Tawatsuji; Tatsunori Matsui (ICCE, 2016)

Construction of Recommender System based on Cognitive Model for "Self-Reflection". - Yoshimasa Tawatsuji; Yuki Yasuda; Tatsunori Matsui (HAI, 2017)

Extraction of Relationships between Learners' Physiological Information and Learners' Mental States by Machine Learning. - Yoshimasa Tawatsuji; Tatsuro Uno; Keita Okazaki; Siyuan Fang; Tatsunori Matsui (ICCE, 2017)

Real-time Estimation of Learners' Mental States from Learners' Physiological Information Using Deep Learning. - Yoshimasa Tawatsuji; Tatsuro Uno; Siyuan Fang; Tatsunori Matsui (ICCE, 2018)

Conceptualization of IMS that Estimates Learners' Mental States from Learners' Physiological Information Using Deep Neural Network Algorithm. - Tatsunori Matsui; Yoshimasa Tawatsuji; Siyuan Fang; Tatsuro Uno (ITS, 2019)

Examinations of Color Emotions for Average Faces. - Keiichi Muramatsu; Yoshimasa Tawatsuji; Kazunori Kaede; Keiichi Watanuki (AHFE (2), 2021)

In-process Feedback by Detecting Deadlock based on EEG Data in Exercise of Learning by Problem-posing. - Sho Yamamoto; Yuto Tobe; Yoshimasa Tawatsuji; Tsukasa Hirashima (ICCE, 2021)

Explanation of emotion regulation mechanism of mindfulness using a brain function model. - Haruka Nakamura; Yoshimasa Tawatsuji; Siyuan Fang; Tatsunori Matsui (Neural Networks, 2021)

Formulation of Mindfulness States as a Network Optimization Problem and an Attempt to Identify Key Brain Pathways Using Digital Annealer. - Haruka Nakamura; Yoshimasa Tawatsuji; Tatsunori Matsui; Makoto Nakamura; Koichi Kimura; Hisanori Fujisawa (IEICE Trans. Inf. Syst., 2022)

Experimental Verification of "Peer-ness" Formation by a Learning Companion Robot. - Koki Honda; Yoshimasa Tawatsuji; Tatsunori Matsui (ICCE, 2023)

Experimental study for a computational model in ITS to predict the learners' state. - Yoshimasa Tawatsuji; Keiichi Muramatsu; Tatsunori Matsui (ICCE, 2023)

In-process feedback by detecting deadlock based on EEG data in exercise of learning by problem- posing and its evaluation. - Sho Yamamoto; Yuto Tobe; Yoshimasa Tawatsuji; Tsukasa Hirashima (Res. Pract. Technol. Enhanc. Learn., 2023)

Technology roadmap toward the completion of whole-brain architecture with BRA-driven development. - Hiroshi Yamakawa; Yoshimasa Tawatsuji; Yuta Ashihara; Ayako Fukawa; Naoya Arakawa; Koichi Takahashi; Yutaka Matsuo (Cogn. Syst. Res., 2024)