New Advances in Human-Robot Interaction

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 516

Special Issue Editor


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Guest Editor
Design School, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China
Interests: human-robot interaction; immersive interaction; brain-computer interface

Special Issue Information

Dear Colleagues,

This Special Issue, "New Advances in Human–Robot Interaction", aims to explore the latest developments and innovations in the field of human–robot interaction and its impact on society. It will focus on advancements in the technology, design, and applications of human–robot interactions, with a particular emphasis on the potential of this field to enhance human lives and address societal challenges.

The scope of this Special Issue includes the following topics: social robotics, human-centered design, human–computer interaction, human–robot collaboration, human–robot communication, intelligent interaction design, and user experience. We welcome submissions that showcase cutting-edge research, case studies, and practical applications of human–robot interaction in various fields, including healthcare, education, transportation, and entertainment.

The purpose of this Special Issue is to provide a platform for researchers, engineers, and practitioners to showcase their latest findings and innovations in the field of human–robot interaction. It will also serve as a forum for discussions and collaborations among experts in this field, leading to the advancement of knowledge and practices in this rapidly evolving area.

Dr. Mengjie Huang
Guest Editor

Manuscript Submission Information

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Keywords

  • social robotics
  • human-centered design
  • human–computer interaction
  • human–robot collaboration
  • human–robot communication
  • intelligent interaction design
  • user experience

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Published Papers (1 paper)

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Research

21 pages, 1696 KiB  
Article
Cognitive Insights into Museum Engagement: A Mobile Eye-Tracking Study on Visual Attention Distribution and Learning Experience
by Wenjia Shi, Kenta Ono and Liang Li
Electronics 2025, 14(11), 2208; https://doi.org/10.3390/electronics14112208 - 29 May 2025
Viewed by 244
Abstract
Recent advancements in Mobile Eye-Tracking (MET) technology have enabled the detailed examination of visitors’ embodied visual behaviors as they navigate exhibition spaces. This study employs MET to investigate visual attention patterns in an archeological museum, with a particular focus on identifying “hotspots” of [...] Read more.
Recent advancements in Mobile Eye-Tracking (MET) technology have enabled the detailed examination of visitors’ embodied visual behaviors as they navigate exhibition spaces. This study employs MET to investigate visual attention patterns in an archeological museum, with a particular focus on identifying “hotspots” of attention. Through a multi-phase research design, we explore the relationship between visitor gaze behavior and museum learning experiences in a real-world setting. Using three key eye movement metrics—Time to First Fixation (TFF), Average Fixation Duration (AFD), and Total Fixation Duration (TFD), we analyze the distribution of visual attention across predefined Areas of Interest (AOIs). Time to First Fixation varied substantially by element, occurring most rapidly for artifacts and most slowly for labels, while video screens showed the shortest mean latency but greatest inter-individual variability, reflecting sequential exploration and heterogeneous strategies toward dynamic versus static media. Total Fixation Duration was highest for video screens and picture panels, intermediate yet variable for artifacts and text panels, and lowest for labels, indicating that dynamic and pictorial content most effectively sustain attention. Finally, Average Fixation Duration peaked on artifacts and labels, suggesting in-depth processing of descriptive elements, and it was shortest on video screens, consistent with rapid, distributed fixations in response to dynamic media. The results provide novel insights into the spatial and contextual factors that influence visitor engagement and knowledge acquisition in museum environments. Based on these findings, we discuss strategic implications for museum research and propose practical recommendations for optimizing exhibition design to enhance visitor experience and learning outcomes. Full article
(This article belongs to the Special Issue New Advances in Human-Robot Interaction)
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