Developing Gestalt-based design guidelines for multi-sensory displays
MMUI '05 Proceedings of the 2005 NICTA-HCSNet Multimodal User Interaction Workshop - Volume 57
Data visualisation and data mining technology for supporting care for older people
Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
Behavioral Patterns of Older Adults in Assisted Living
IEEE Transactions on Information Technology in Biomedicine
Attention and Visual Memory in Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
Visualization of data for ambient assisted living services
IEEE Communications Magazine
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Sensor technology is increasingly applied for the purpose of monitoring elderly's Activities of Daily Living (ADL), a set of activities used by physicians to benchmark physical and cognitive decline. Visualizing deviations in ADL can help medical specialists and nurses to recognize disease symptoms at an early stage. This paper presents possible visualizations for identifying such deviations. These visualizations have been iteratively explored and developed with three different medical specialists to better understand which deviations are relevant according to the different medical specialisms and explore how these deviations should be best presented. The study results suggest that the participants found a monthly bar graph in which activities are represented by colours as the most suitable from the ones presented. Although the visualizations of every ADL was found to be more or less relevant by the different medical specialists, the preference for focusing on specific ADL's varied from specialist to specialist.