Acceptance and Privacy Perceptions Toward Video-based Active and Assisted Living Technologies: Scoping Review

Journal of Medical Internet Research, vol. 25, pp. e45297

Abstract

BACKGROUND: The aging society posits new socioeconomic challenges to which a potential solution is active and assisted living (AAL) technologies. Visual-based sensing systems are technologically among the most advantageous forms of AAL technologies in providing health and social care; however, they come at the risk of violating rights to privacy. With the immersion of video-based technologies, privacy-preserving smart solutions are being developed; however, the user acceptance research about these developments is not yet being systematized. OBJECTIVE: With this scoping review, we aimed to gain an overview of existing studies examining the viewpoints of older adults and/or their caregivers on technology acceptance and privacy perceptions, specifically toward video-based AAL technology. METHODS: A total of 22 studies were identified with a primary focus on user acceptance and privacy attitudes during a literature search of major databases. Methodological quality assessment and thematic analysis of the selected studies were executed and principal findings are summarized. The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines were followed at every step of this scoping review. RESULTS: Acceptance attitudes toward video-based AAL technologies are rather conditional, and are summarized into five main themes seen from the two end-user perspectives: caregiver and care receiver. With privacy being a major barrier to video-based AAL technologies, security and medical safety were identified as the major benefits across the studies. CONCLUSIONS: This review reveals a very low methodological quality of the empirical studies assessing user acceptance of video-based AAL technologies. We propose that more specific and more end user- and real life-targeting research is needed to assess the acceptance of proposed solutions.

Authors 6

1. Tamara Mujirishvili

   University of Alicante

   Affiliation as printed

   Department of Nursing, University of Alicante, Alicante, Spain

2. Caterina Maidhof Aachen Communication Science Human-Computer Interaction Center

   RWTH Aachen University

   Affiliation as printed

   Communication Science, Human-Computer Interaction Center, Rheinisch-Westfälische Technische Hochschule Aachen University, Aachen, Germany

3. Francisco Flórez‐Revuelta

   University of Alicante

   Affiliation as printed

   Department of Computer Technology, University of Alicante, Alicante, Spain

4. Martina Ziefle Aachen Communication Science Human-Computer Interaction Center

   RWTH Aachen University

   Affiliation as printed

   Communication Science, Human-Computer Interaction Center, Rheinisch-Westfälische Technische Hochschule Aachen University, Aachen, Germany

5. Miguel Richart‐Martínez

   University of Alicante

   Affiliation as printed

   Department of Nursing, University of Alicante, Alicante, Spain

6. Julio Cabrero‐García

   University of Alicante

   Affiliation as printed

   Department of Nursing, University of Alicante, Alicante, Spain