Cited by 43Assistive Technology in Communication and MobilitySpatial Cognition and NavigationIndoor and Outdoor Localization Technologies

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Autonomous indoor wayfinding for individuals with cognitive impairments

Open access
Chang, Yao-Jen, Peng, Shu-Ming, Wang, Tsen-Yung, Chen, Shu-Fang, Chen, Yan-Ru, Chen, Hung-Chi·2010·Journal of NeuroEngineering and Rehabilitation

Abstract

BACKGROUND: A challenge to individuals with cognitive impairments in wayfinding is how to remain oriented, recall routines, and travel in unfamiliar areas in a way relying on limited cognitive capacity. While people without disabilities often use maps or written directions as navigation tools or for remaining oriented, this cognitively-impaired population is very sensitive to issues of abstraction (e.g. icons on maps or signage) and presents the designer with a challenge to tailor navigation information specific to each user and context. METHODS: This paper describes an approach to providing distributed cognition support of travel guidance for persons with cognitive disabilities. A solution is proposed based on passive near-field RFID tags and scanning PDAs. A prototype is built and tested in field experiments with real subjects. The unique strength of the system is the ability to provide unique-to-the-user prompts that are triggered by context. The key to the approach is to spread the context awareness across the system, with the context being flagged by the RFID tags and the appropriate response being evoked by displaying the appropriate path guidance images indexed by the intersection of specific end-user and context ID embedded in RFID tags. RESULTS: We found that passive RFIDs generally served as good context for triggering navigation prompts, although individual differences in effectiveness varied. The results of controlled experiments provided more evidence with regard to applicabilities of the proposed autonomous indoor wayfinding method. CONCLUSIONS: Our findings suggest that the ability to adapt indoor wayfinding devices for appropriate timing of directions and standing orientation will be particularly important.

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Figure 1 Model of wayfinding devices.
Figure 1 Model of wayfinding devices.CC BY · PubMed Central
Figure 2 Architecture and system interaction of the wayfinding prototype. Architecture and system interaction of the wayfinding prototype. (1) By sensing the RFID tag, the user PDA determines the current location of the user. (2) Location information is sent over GPRS to the server. (3) The server decides which photo to send to the user.
Figure 2 Architecture and system interaction of the wayfinding prototype. Architecture and system interaction of the wayfinding prototype. (1) By sensing the RFID tag, the user PDA determines the current location of the user. (2) Location information is sent over GPRS to the server. (3) The server decides which photo to send to the user.CC BY · PubMed Central
Figure 3 An augmented photo. An augmented photo overlaid with an arrow showing the just-in-time direction on the wayfinding PDA.
Figure 3 An augmented photo. An augmented photo overlaid with an arrow showing the just-in-time direction on the wayfinding PDA.CC BY · PubMed Central
Figure 4 A decision point. A decision point labeled with node 31 is to be loaded with four photos, one for each direction. A photo facing the east is currently highlighted by clicking the selected photo in the bottom row.
Figure 4 A decision point. A decision point labeled with node 31 is to be loaded with four photos, one for each direction. A photo facing the east is currently highlighted by clicking the selected photo in the bottom row.CC BY · PubMed Central
Figure 5 Routing for individuals with multiple special needs. Routing for individuals with multiple special needs: users with cognitive impairments, wheelchair users, and users with low vision
Figure 5 Routing for individuals with multiple special needs. Routing for individuals with multiple special needs: users with cognitive impairments, wheelchair users, and users with low visionCC BY · PubMed Central
Figure 6 The five routes used in the experiments.
Figure 6 The five routes used in the experiments.CC BY · PubMed Central
Figure 7 Experiments of six cognitively impaired participants taking the five routes.
Figure 7 Experiments of six cognitively impaired participants taking the five routes.CC BY · PubMed Central
Figure 8 The study of participant 1 in three phases.
Figure 8 The study of participant 1 in three phases.CC BY · PubMed Central
Figure 9 The study of participant 4 in three phases.
Figure 9 The study of participant 4 in three phases.CC BY · PubMed Central

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References 22 · Cited by 43

Research works printed but not linked: 23

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Metadata

Authors
Chang, Y.-J., Peng, S.-M., Wang, T.-Y., Chen, S.-F., Chen, Y.-R., & Chen, H.-C.
Affiliations
  • Chung Yuan Christian University (TW)
  • National Yang Ming University (TW)
  • Taipei City Hospital (TW)
Corresponding author
Chang, Yao-Jen
Venue
Journal of NeuroEngineering and Rehabilitation
Published
2010-09-14
Volume
7
Issue
1
Pages
45-45
ISSN
1743-0003 (ISSN-L)
OpenAlex
W2145271582
Cited by
43
References
22
Citations by year
2026: 2 · 2025: 4 · 2023: 3 · 2022: 2 · 2019: 5 · 2018: 1 · 2017: 2 · 2016: 2 · 2015: 2 · 2014: 3 · 2013: 7 · 2012: 2
FWCI
18.12
Type
journal article
Language
en
Open access
Locations
  • Journal of NeuroEngineering and Rehabilitation (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Science Council
Topics
  • Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Spatial Cognition and Navigation
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
Keywords
indoor wayfinding, cognitive impairment, distributed cognition, context-aware navigation, passive RFID tags, personal digital assistants, spatial orientation, assistive technology
MeSH terms
Adult, Aged, Cognition Disorders, Cues, Female, Humans, Male, Memory Disorders, Middle Aged, Orientation, Self-Help Devices, User-Computer Interface, Wheelchairs, Computers, Handheld, Young Adult, Radio Frequency Identification Device

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CoChat. (2026). Citation check: Autonomous indoor wayfinding for individuals with cognitive impairments. https://app.cochat.ai/papers/10.1186/1743-0003-7-45
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Chang, Y.-J., Peng, S.-M., Wang, T.-Y., Chen, S.-F., Chen, Y.-R., & Chen, H.-C. (2010). Autonomous indoor wayfinding for individuals with cognitive impairments. Journal of NeuroEngineering and Rehabilitation. https://doi.org/10.1186/1743-0003-7-45