Dienst van SURF
© 2025 SURF
This paper describes the approach used to identify elderly people’s needs and attitudes towards applying ambient sensor systems for monitoring daily activities in the home. As elderly are typically unfamiliar with such ambient technology, interactive tools for explicating sensor monitoring –an interactive dollhouse and iPad applications for displaying live monitored sensor activity data– were developed and used for this study. Furthermore, four studies conducted by occupational therapists with more than 60 elderly participants –including questionnaires (n=41), interviews (n=6), user sessions (n=14) and field studies (n=2)– were conducted. The experiences from these studies suggest that this approach helped to democratically engage the elderly as end-user and identify acceptance issues.
This paper describes a comparative case study that aims to uncover the quantifiable differences between non-interactive and interactive public displays in the urbanenvironment. The study involved a large temporaryinteractive public display on a central city square showing a selection of custom-made content. We have evaluated the effect on passers-by and spectators in two conditions: 1) non-interactive (2102 passers-by, 228 viewers), by showing a content loop, and 2) interactive (1676 passers-by, 257 viewers), by adding physical pushbuttons for content selection and gaming. We discuss the influence of noninteractive and interactive public displays on: 1) attracting attention, 2) engaging people, 3) improving social dynamics within and among groups of viewers, and 4) catering for the suitable time of day. Based on our observations, we provide quantitative support for the hypothesis that interactive displays are more successful than non-interactive displays to engage viewers, and to make city centers more lively and attractive.
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.