{"title":"Navigating with haptic gloves: Investigating strategies for horizontal and vertical movement guidance","authors":"Mahdis Tajdari , Jason Forsyth , Sol Lim","doi":"10.1016/j.ijhcs.2025.103582","DOIUrl":null,"url":null,"abstract":"<div><div>Navigating peripersonal space requires reaching targets in both horizontal (e.g., desk) and vertical (e.g., shelves) layouts with high precision. We developed a haptic glove to aid peripersonal target navigation and investigated the effectiveness of different feedback delivery methods. Twenty-two participants completed target navigation tasks under various conditions, including <em>scene layout</em> (horizontal or vertical), <em>guidance approach</em> (two-tactor or worst-axis first), <em>guidance metaphor</em> (push or pull), and <em>intensity mode</em> (linear or zone) for conveying distance cues. Task completion time, hand trajectory distance, and percentage of hand trajectory in critical area were measured as the performance outcome, along with subjective feedback. Participants achieved significantly faster task completion times and covered less hand trajectory distance in the horizontal layout, worst-axis first approach, and pull metaphor conditions. Additionally, male participants demonstrated superior performance and reported lower levels of frustration compared to their female counterparts throughout the study. Intensity mode had no significant effect on the results. In summary, vibrating one tactor at a time (worst-axis first) and using the pull metaphor were the most effective way of delivering vibrotactile feedback for peripersonal target navigation in both horizontal and vertical settings. Findings from this work can guide future developments of haptic gloves for people with vision impairments, environments with vision limitations, and for accessibility and rehabilitation applications.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"203 ","pages":"Article 103582"},"PeriodicalIF":5.1000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Human-Computer Studies","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1071581925001399","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Navigating peripersonal space requires reaching targets in both horizontal (e.g., desk) and vertical (e.g., shelves) layouts with high precision. We developed a haptic glove to aid peripersonal target navigation and investigated the effectiveness of different feedback delivery methods. Twenty-two participants completed target navigation tasks under various conditions, including scene layout (horizontal or vertical), guidance approach (two-tactor or worst-axis first), guidance metaphor (push or pull), and intensity mode (linear or zone) for conveying distance cues. Task completion time, hand trajectory distance, and percentage of hand trajectory in critical area were measured as the performance outcome, along with subjective feedback. Participants achieved significantly faster task completion times and covered less hand trajectory distance in the horizontal layout, worst-axis first approach, and pull metaphor conditions. Additionally, male participants demonstrated superior performance and reported lower levels of frustration compared to their female counterparts throughout the study. Intensity mode had no significant effect on the results. In summary, vibrating one tactor at a time (worst-axis first) and using the pull metaphor were the most effective way of delivering vibrotactile feedback for peripersonal target navigation in both horizontal and vertical settings. Findings from this work can guide future developments of haptic gloves for people with vision impairments, environments with vision limitations, and for accessibility and rehabilitation applications.
期刊介绍:
The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities.
Research areas relevant to the journal include, but are not limited to:
• Innovative interaction techniques
• Multimodal interaction
• Speech interaction
• Graphic interaction
• Natural language interaction
• Interaction in mobile and embedded systems
• Interface design and evaluation methodologies
• Design and evaluation of innovative interactive systems
• User interface prototyping and management systems
• Ubiquitous computing
• Wearable computers
• Pervasive computing
• Affective computing
• Empirical studies of user behaviour
• Empirical studies of programming and software engineering
• Computer supported cooperative work
• Computer mediated communication
• Virtual reality
• Mixed and augmented Reality
• Intelligent user interfaces
• Presence
...