Assessing the Needs of Mobility Solution for Older Adults Through Living Lab Approach: An Experience Report

Fang, Borui; Chong, Chun Yong; Teh, Pei‐Lee; Lee, Shaun Wen Huey

doi:10.1007/978-3-031-06050-2_24

Cited by 3 publications

(2 citation statements)

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“…29 Therefore, it is important to ensure the efficacies of technological design and interventions in addressing the needs of LIOA. Future development of mobile app-based solutions for older adults should incorporate participatory design 13 to yield design solutions that address their specific needs. Moreover, programs allowing older adults to test and experience the MA could be helpful for them to be acquainted with its usefulness and ease of use.…”

Section: Discussionmentioning

confidence: 99%

“…Technology-mediated mobility solutions have the potential to promote healthy aging among LIOA. In this study, a new mobility app (MA), i.e., TakeMe app 12,13 integrates transport and volunteer services to provide door-to-door mobility services (i.e., assist wheelchair user; disability; carrying things) without any charges. This volunteer-and-community-based technological intervention aims to support LIOA's mobility-related needs including managing health (e.g., attending medical appointments, picking up prescriptions), access to essentials (e.g., grocery shopping), and facilitating social participation (e.g., attending social events).…”

Section: Introductionmentioning

confidence: 99%

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What drives low‐income older adults' intention to use mobility applications?

Chan,

Chong,

Teh

et al. 2024

Geriatrics Gerontology Int

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AimMobility applications have the potential to support low‐income older adults in facing mobility challenges. However, there is a generally lower uptake of technology in this segment. To understand factors affecting the intention to use a mobility app, we drew upon the Protection Motivation Theory, and tested a model of low‐income older adults' technology adoption.MethodsA cross‐sectional survey was conducted across seven states in Malaysia among community‐dwelling low‐income older adults aged ≥60 years old (n = 282). Measurement items were adapted from pre‐validated scales and 7‐point Likert Scales were used. Partial least squares structural equation modeling was utilized to assess the hypothesized model.ResultsMobility technology awareness was found to shape an individual's threat and coping appraisals associated with their intention to use a mobility app. The decision of a low‐income older adult to adopt a mobility app as a protective action is not a direct function of threat and coping appraisals but is indirect, and mediated by the underlying cost–benefit perceptions of non‐adoption and adoption of the mobility app. In terms of technology perceptions, perceived usefulness is a significant predictor, but not perceived ease of use.ConclusionsThis study entails a new model by uncovering the psychological factors encompassing mobility technology awareness, threat‐coping appraisals, and cost–benefit perceptions on Technology Acceptance Model studies. These insights have important implications for the development and implementation of a mobility app among low‐income older adults. Geriatr Gerontol Int 2024; ••: ••–••.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%