Affiliations: [a] Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA | [b] College of Nursing, University of Colorado Anschutz Medical Campus, Denver, CO, USA | [c] Biobehavioral Nursing and Health Systems, University of Washington, Seattle, WA, USA
Correspondence:
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Corresponding author: Thai Le, University of Washington, Box SLU-BIME 358047, 850 Republican St, Building C, Seattle, WA 98109, USA. E-mail: [email protected].
Abstract: Background:Smart home sensor systems provide a valuable opportunity to continuously and unobtrusively monitor older adult wellness. However, the density of sensor data can be challenging to visualize, especially for an older adult consumer with distinct user needs. Objective:We describe the design of sensor visualizations informed by interviews with older adults. The goal of the visualizations is to present sensor activity data to an older adult consumer audience that supports both longitudinal detection of trends and on-demand display of activity details for any chosen day. Methods:The design process is grounded through participatory design with older adult interviews during a six-month pilot sensor study. Through a secondary analysis of interviews, we identified the visualization needs of older adults. We incorporated these needs with cognitive perceptual visualization guidelines and the emotional design principles of Norman to develop sensor visualizations. Results:We present a design of sensor visualization that integrate both temporal and spatial components of information. The visualization supports longitudinal detection of trends while allowing the viewer to view activity within a specific date. Conclusions:Appropriately designed visualizations for older adults not only provide insight into health and wellness, but also are a valuable resource to promote engagement within care.
Keywords: Information visualization, older adults, smart home, sensor
