activity
20192025
most citedInformation-Theoretic Free Energy as Emotion Potential: Emotional Valence as a Function of Complexity and Novelty

30 citations · 53 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025

Free Energy-Based Modeling of Emotional Dynamics in Video Advertisements

Takashi Ushio, Kazuhiro Onishi, Hideyoshi Yanagisawa

Emotional responses during advertising video viewing are recognized as essential for understanding media effects because they have influenced attention, memory, and purchase intent…

cs.HC2023

Predictive Wand: a mathematical interface design for operations with delays

Masaki Isono, Hideyoshi Yanagisawa

Action-feedback delay during operation reduces both task performance and sense of agency (SoA). In this study, using information-theoretic free energy, we formalized a novel mathem…

cs.HC2023

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

We formulated the sense of the presence of a remote participant in hybrid communication using a Bayesian framework. We also applied the knowledge gained from the simulation with th…

q-bio.NC2022★ 16 cited

Free energy model of emotional valence in dual-process perceptions

Hideyoshi Yanagisawa, Xiaoxiang Wu, Kazutaka Ueda +1

An appropriate level of arousal induces positive emotions, and a high arousal potential may provoke negative emotions. To explain the effect of arousal on emotional valence, we pro…

cs.HC2020★ 5 cited

Intrinsic motivation in virtual assistant interaction for fostering spontaneous interactions

Chang Li, Hideyoshi Yanagisawa

With the growing utility of today's conversational virtual assistants, the importance of user motivation in human-AI interaction is becoming more obvious. However, previous studies…

q-bio.NC2020★ 30 cited

Information-Theoretic Free Energy as Emotion Potential: Emotional Valence as a Function of Complexity and Novelty

Hideyoshi Yanagisawa

This study extends the mathematical model of emotion dimensions that we previously proposed (Yanagisawa, et al. 2019, Front Comput Neurosci) to consider perceived complexity as wel…

cs.HC2019

Effect of assistive method on the sense of fulfillment with agency: Modeling with flow and attribution theory

Dan Nanno, Hideyoshi Yanagisawa

Several assistive technologies for users' operations have been recently developed. A user's sense of agency (SoA) decreases with increasing system assistance, possibly resulting in…

cs.IT2019★ 2 cited

Mathematical Model of Emotional Habituation to Novelty: Modeling with Bayesian Update and Information Theory

Takahiro Sekoguchi, Yuki Sakai, Hideyoshi Yanagisawa

Novelty is an important factor of creativity in product design. Acceptance of novelty, however, depends on one's emotions. Yanagisawa, the last author, and his colleagues previousl…

cs.HC2019

A methodology for multisensory product experience design using cross-modal effect: A case of SLR camera

Takuma Maki, Hideyoshi Yanagisawa

Throughout the course of product experience, a user employs multiple senses, including vision, hearing, and touch. Previous cross-modal studies have shown that multiple senses inte…

q-bio.NC2019

Quantitative evaluation of sense of discrepancy to operation response using event-related potential

Kazutaka Ueda, Yuki Sakai, Hideyoshi Yanagisawa

This study aimed to develop a method to evaluate the sense of discrepancy to the operation response quantitatively. We examined the availability of event-related potential (P300),…