Literature DB >> 30919711

Older women's perceptions of wearable and smart home activity sensors.

Blaine Reeder1, Jane Chung2, Kate Lyden3,4, Joshua Winters5, Catherine M Jankowski1.   

Abstract

Introduction: The aim of this study was to characterize perceptions of wearable and smart home technologies of older women using semi-structured interviews.Methods and Procedures: Participants (n = 10) were shown two wearable sensors and a smart home sensor. All participants were 60 years of age or older with the exception of one participant (ages: 57-70,average age: 64.6 years). Sensor function and placement were explained. Participants were asked questions about technology, perceptions of sensors, and thoughts about the use of these types of sensors. Interview transcripts were analyzed to identify themes related to technology acceptance, perceived usefulness, and privacy issues.Main Outcome and
Results: Participants perceived wearable and smart home sensors as acceptable for personal activity data collection. In general, wearable sensors were perceived as more useful than smart home sensors because most participants had high levels of activities outside their homes. Participants had few concerns about data sharing. Privacy issues related to perceived risk for break-ins or unwanted disclosure of activity levels.
Conclusion: Given the higher proportion of women over men in the older adult population, and some of the aging-related health risks that women face, it is important to understand older women's perceptions of different types of sensor technologies.

Entities:  

Keywords:  Wearable sensors; activity sensors; middle-aged women; older adult women; postmenopausal women; smart home sensors

Mesh:

Substances:

Year:  2019        PMID: 30919711     DOI: 10.1080/17538157.2019.1582054

Source DB:  PubMed          Journal:  Inform Health Soc Care        ISSN: 1753-8157            Impact factor:   2.439


  4 in total

1.  Depressed Mood Prediction of Elderly People with a Wearable Band.

Authors:  Jinyoung Choi; Soomin Lee; Seonyoung Kim; Dongil Kim; Hyungshin Kim
Journal:  Sensors (Basel)       Date:  2022-05-31       Impact factor: 3.847

Review 2.  Sensor technology for nursing research.

Authors:  Nancy S Redeker
Journal:  Nurs Outlook       Date:  2020-06-21       Impact factor: 3.315

Review 3.  Telemedicine Technologies Selection for the Posthospital Patient Care Process after Total Hip Arthroplasty.

Authors:  Karolina Kamecka; Calogero Foti; Łukasz Gawiński; Marek Matejun; Anna Rybarczyk-Szwajkowska; Marek Kiljański; Marek Krochmalski; Remigiusz Kozłowski; Michał Marczak
Journal:  Int J Environ Res Public Health       Date:  2022-09-13       Impact factor: 4.614

4.  Attitudes and Perceptions Toward Voice-Operated Smart Speakers Among Low-Income Senior Housing Residents: Comparison of Pre- and Post-Installation Surveys.

Authors:  Jane Chung; Michael Bleich; David C Wheeler; Jodi M Winship; Brooke McDowell; David Baker; Pamela Parsons
Journal:  Gerontol Geriatr Med       Date:  2021-03-26
  4 in total

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