Collection-image

TOPICAL COLLECTIONS

Interactive Technologies for Behavior Change and Emotional Engagement
Submit Abstract

Guest Editor

Kaoru Sumi

Kaoru Sumi

Future University Hakodate, ...

Kaoru Sumi is a professor at Future University Hakodate, Japan. She specializes in affective computing, persuasive technol

Collection Overview

The integration of emotional adaptation and behavior change support into interactive technologies has emerged as a critical research frontier across Human-Computer Interaction (HCI), Affective Computing, Intelligent Systems, and Behavioral Science. As intelligent artifacts such as robots and artificial agents increasingly become embedded in everyday life — supporting education, healthcare, communication, and social interaction — understanding how these systems can dynamically respond to human emotions and social contexts is vital for building trust, empathy, and sustainable engagement.

This Methods Collection invites contributions presenting experimental protocols, design methodologies, and technical innovations that advance reproducible research in fields such as human-robot interaction (HRI), human-agent interaction (HAI), affective adaptive systems, and behavior change interventions through interactive technologies. Submissions related to affective sensing, persuasive systems for everyday behavior change, adaptive educational, healthcare, and communication support technologies, and emotional adaptation of artificial agents are particularly encouraged.

We welcome a wide range of contributions from diverse but related fields, including studies addressing human-centered AI, behavior change technologies, emotional interaction design, and socially intelligent systems. By highlighting reproducible methods and protocols, this Collection aims to foster the development of empathetic, trustworthy, and supportive systems that empower users and promote well-being across various real-world contexts.

Articles

Comparing Sentence Observation Ratios During Reading and Writing in Japanese Students with Handwriting Difficulties

Comparing Sentence Observation Ratios During Reading and Writing in Japanese Students with Handwriting Difficulties

0 Views

2025

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
7:14

Abstracts

Comparing sentence observation proportions when Japanese students with handwriting difficulties read and write

Mikimasa Omori*1

1Waseda University

Effect of Feedback Modality on Eye-Blink Promotion for Eye Health Support During Video Viewing

Haruto Niimura*1,

Guillaume Lopez1

1Aoyama Gakuin University

Emotion-Adaptive and Expressive Robots for Persuasive Sales Interactions

Ahmed Salem*1,

Kaoru Sumi1

1Future University Hakodate

Nature in the Virtual Mind: Exploring Emotional Regulation through VR Nature Therapy

Sum Yuet Joyce Lau1,

Junpei Zhong*2,

Zihui Jing*3

1Pathfinder Limited,

2University of Wollongong (College Hong Kong),

3The Hong Kong Polytechnic University

Demis: A Sandbox-Based Affective Computing Protocol for Authentic Behavioral Signal Extraction in AI-Driven Employment Matching

MASATO SUZUKI*1

1West La college