Informing the design of an automated wayfinding system for individuals with cognitive impairments

Individuals with cognitive impairments are often prevented from independently living, working, and fully participating in their community due to wayfinding concerns. We conducted two user studies of a mobile wayfinding aid designed to support such individuals. The first study examined usability issues related to wayfinding outdoors. The results were positive overall, but showed that the directions we used were at times too low-level, requiring strict adherence to the route and therefore highly precise message timing. The second study examined the use of landmarks to provide directions at a higher-level, as a way to overcome the limitations of the directions we were using. We found that certain types of landmark-based directions were significantly easier to follow, but individual performance varied across most direction types. The findings from both studies show that individuals with cognitive impairments would benefit from a wayfinding system that is capable of supporting customizable and adaptable direction selection.

[1]  Gerhard Fischer,et al.  Socio-technical environments supporting people with cognitive disabilities using public transportation , 2005, TCHI.

[2]  J. Schneider,et al.  Using talking lights to assist brain-injured patients with daily inpatient therapeutic schedule. , 2001, The Journal of head trauma rehabilitation.

[3]  Krzysztof Z. Gajos,et al.  Opportunity Knocks: A System to Provide Cognitive Assistance with Transportation Services , 2004, UbiComp.

[4]  Henry A. Kautz,et al.  Indoor wayfinding: Developing a functional interface for individuals with cognitive impairments , 2008, Disability and rehabilitation. Assistive technology.

[5]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[6]  Yao-Jen Chang,et al.  A context aware handheld wayfinding system for individuals with cognitive impairments , 2008, Assets '08.

[7]  Shih-Kai Tsai,et al.  WADER: a novel wayfinding system with deviation recovery for individuals with cognitive impairments , 2007, Assets '07.

[8]  Andrew J. May,et al.  Pedestrian navigation aids: information requirements and design implications , 2003, Personal and Ubiquitous Computing.

[9]  Stephen A. Brewster,et al.  Using Landmarks to Support Older People in Navigation , 2004, Mobile HCI.

[10]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[11]  Gaetano Borriello,et al.  Landmark-based pedestrian navigation from collections of geotagged photos , 2008, MUM '08.

[12]  M. Blades,et al.  The Cognition of Geographic Space , 2002 .

[13]  Henry A. Kautz,et al.  Indoor wayfinding:: developing a functional interface for individuals with cognitive impairments , 2006, Assets '06.

[14]  Sebastian Thrun,et al.  Probabilistic robotics , 2002, CACM.