EAI Endorsed Transactions on Collaborative Computing 14(2): e5

Research Article

Wayfinding and Navigation for People with Disabilities Using Social Navigation Networks

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  • @ARTICLE{10.4108/cc.1.2.e5,
        author={Hassan  A. Karimi and M. Bernardine Dias and Jonathan Pearlman and George J. Zimmerman},
        title={Wayfinding and Navigation for People with Disabilities Using Social Navigation Networks},
        journal={EAI Endorsed Transactions on Collaborative Computing},
        volume={14},
        number={2},
        publisher={ICST},
        journal_a={CC},
        year={2014},
        month={10},
        keywords={wayfinding, navigation, social navigation networks, people with disabilities, assistive technology.},
        doi={10.4108/cc.1.2.e5}
    }
    
  • Hassan A. Karimi
    M. Bernardine Dias
    Jonathan Pearlman
    George J. Zimmerman
    Year: 2014
    Wayfinding and Navigation for People with Disabilities Using Social Navigation Networks
    CC
    ICST
    DOI: 10.4108/cc.1.2.e5
Hassan A. Karimi1,*, M. Bernardine Dias2, Jonathan Pearlman3, George J. Zimmerman4
  • 1: Geoinformatics Laboratory, School of Information Sciences, University of Pittsburgh
  • 2: TechBridgeWorld Research Group, Robotics Institute, Carnegie Mellon University
  • 3: Department of Rehabilitation Science and Technology, University of Pittsburgh
  • 4: School of Education, University of Pittsburgh
*Contact email: hkarimi@pitt.edu

Abstract

To achieve safe and independent mobility, people usually depend on published information, prior experience, the knowledge of others, and/or technology to navigate unfamiliar outdoor and indoor environments. Today, due to advances in various technologies, wayfinding and navigation systems and services are commonplace and are accessible on desktop, laptop, and mobile devices. However, despite their popularity and widespread use, current wayfinding and navigation solutions often fail to address the needs of people with disabilities (PWDs). We argue that these shortcomings are primarily due to the ubiquity of the compute-centric approach adopted in these systems and services, where they do not benefit from the experience-centric approach. We propose that following a hybrid approach of combining experience-centric and compute-centric methods will overcome the shortcomings of current wayfinding and navigation solutions for PWDs.