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Evaluating Active and Assisted Living technologies: Critical methodological reflections based on a longitudinal randomized controlled trial.

Authors :
Bieg, Till
Gerdenitsch, Cornelia
Schwaninger, Isabel
Kern, Bettina Manuela Johanna
Frauenberger, Christopher
Source :
Computers in Human Behavior. Aug2022, Vol. 133, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

In the light of demographic change, Active and Assisted Living (AAL) technologies promise to support older adults in their everyday lives and promote a self-determined lifestyle. However, empirical evidence for their effectiveness is fragmented and mixed. Thus, literature has called for more rigorous studies – including randomized controlled trials (RCTs) – to investigate the effectiveness of AAL technologies. In this paper, we present findings from a longitudinal RCT over 12 months (N = 150) evaluating an AAL technology that aims to support older adults' self-determination, social participation, and perceived safety. Results do not indicate significant effects on the measured outcomes. Based on complementary methods employed in the study (tracking of usage behavior, quantitative self-reports on user experience, qualitative interviews) and our practical experiences with the implementation of the WAALTeR project we critically reflect on this finding and explore possible explanations. This reflection reveals systematic challenges that exist not only in relation to the present study but also in relation to the evaluation of AAL technologies more generally. Based on these insights, we offer implications and directions for future research that aim to better understand and overcome challenges in evaluating the effectiveness of AAL technologies. • There is a lack of evidence for effects of AAL technologies in real-world settings. • Null findings from an RCT evaluating an AAL technology motivate a critical reflection. • How older adults engage with technology and its context can be highly diverse. • Sample diversity and other factors are methodological challenges for AAL research. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07475632
Volume :
133
Database :
Academic Search Index
Journal :
Computers in Human Behavior
Publication Type :
Academic Journal
Accession number :
156590551
Full Text :
https://doi.org/10.1016/j.chb.2022.107249