Interactive Design Support System by Customer Evaluation and Genetic Evolution: Application to Eye Glass Frame. - Hideyoshi Yanagisawa; Shuichi Fukuda (KES, 2003)

Interactive Reduct Evolutional Computation for Aesthetic Design. - Hideyoshi Yanagisawa; Shuichi Fukuda (J. Comput. Inf. Sci. Eng., 2005)

Design optimisation for customers' KANSEI requirement: application of interactive reduct evolutional computation to industrial design with curves. - Hideyoshi Yanagisawa; Shuichi Fukuda (Int. J. Manuf. Technol. Manag., 2007)

Trial of Formulating Affordance Features for Product Design. - Tamotsu Murakami; Mariko Higuchi; Hideyoshi Yanagisawa (HCI (13), 2009)

Proposal for user-observation design assistant system focused on field work. - Atsushi Tsukada; Takashi Maeda; Hideyoshi Yanagisawa; Shun'ichi Kaneko; Tamotsu Mirakami; Mikio Tozaki; Eriko Tamaru; Kimitake Hasuike (IFAC HMS, 2010)

Effect of Tonal Harmonic Feature in Product Noise on Emotional Quality. - Hideyoshi Yanagisawa; Shunsuke Yokoo; Tamotsu Murakami; Koichi Ohtomi; Rika Hosaka (CE, 2011)

Cognitive and Neural Mechanisms of Aesthetic Sensitivity with regard to Product Form. - Kazutaka Ueda; Tomohiro Takahashi; Takamasa Noda; Hideyoshi Yanagisawa; Tamotsu Murakami (J. Integr. Des. Process. Sci., 2016)

A Proposal of Kansei Database Framework and Kansei Modelling Methodology for the Delight Design Platform. - Hideyoshi Yanagisawa; Sohya Nakano; Tamotsu Murakami (J. Integr. Des. Process. Sci., 2016)

Editorial: Scientific advances in product experience engineering. - Cheng-Hung Lo; Chih-Hsing Chu; Hideyoshi Yanagisawa; Roger Jianxin Jiao (J. Intell. Manuf., 2017)

Expectation effect of perceptual experience in sensory modality transitions: modeling with information theory. - Hideyoshi Yanagisawa; Kenji Takatsuji (J. Intell. Manuf., 2017)

Mathematical Model of Emotional Habituation to Novelty: Modeling with Bayesian Update and Information Theory. - Takahiro Sekoguchi; Yuki Sakai; Hideyoshi Yanagisawa (SMC, 2019)

Quantitative evaluation of sense of discrepancy to operation response using event-related potential. - Kazutaka Ueda; Yuki Sakai; Hideyoshi Yanagisawa (CoRR, 2019)

Effect of assistive method on the sense of fulfillment with agency: Modeling with flow and attribution theory. - Dan Nanno; Hideyoshi Yanagisawa (CoRR, 2019)

A methodology for multisensory product experience design using cross-modal effect: A case of SLR camera. - Takuma Maki; Hideyoshi Yanagisawa (CoRR, 2019)

Modeling Emotions Associated With Novelty at Variable Uncertainty Levels: A Bayesian Approach. - Hideyoshi Yanagisawa; Oto Kawamata; Kazutaka Ueda (Frontiers Comput. Neurosci., 2019)

Information-Theoretic Free Energy as Emotion Potential: Emotional Valence as a Function of Complexity and Novelty. - Hideyoshi Yanagisawa (CoRR, 2020)

Intrinsic motivation in virtual assistant interaction for fostering spontaneous interactions. - Chang Li; Hideyoshi Yanagisawa (CoRR, 2020)

Corrigendum: Modeling Emotions Associated With Novelty at Variable Uncertainty Levels: A Bayesian Approach. - Hideyoshi Yanagisawa; Oto Kawamata; Kazutaka Ueda (Frontiers Comput. Neurosci., 2020)

Free-Energy Model of Emotion Potential: Modeling Arousal Potential as Information Content Induced by Complexity and Novelty. - Hideyoshi Yanagisawa (Frontiers Comput. Neurosci., 2021)

Modelling of State of Charge Recognition: Use of a Bayesian Approach to Formulate Hidden State Perceptions and Emotions. - Hideyoshi Yanagisawa; Masafumi Miyamoto; Satsuki Arima (Int. J. Intell. Transp. Syst. Res., 2022)

Cross-Modal Correspondence Between Sound Pitch and Shape Controlled by Shape Feature Indices. - Jumpei Hayashi; Takeo Kato; Hideyoshi Yanagisawa (SMC, 2023)

Modeling the sense of presence of remote participants in hybrid communication and its application to the design of avatar robot behavior. - Takuma Miyaguchi; Hideyoshi Yanagisawa (CoRR, 2023)

Predictive Wand: a mathematical interface design for operations with delays. - Masaki Isono; Hideyoshi Yanagisawa (CoRR, 2023)

Free energy model of emotional valence in dual-process perceptions. - Hideyoshi Yanagisawa; Xiaoxiang Wu; Kazutaka Ueda; Takeo Kato (Neural Networks, 2023)

Modeling arousal potential of epistemic emotions using Bayesian information gain: Inquiry cycle driven by free energy fluctuations. - Hideyoshi Yanagisawa; Shimon Honda (CoRR, 2024)