Supporting Optimal Aging through the Innovative Use of Virtual Reality Technology
Open accessAbstract
Although virtual reality (VR) technology has been implemented as a tool to address the health issues of older adults, its applicability to social connectedness is underrepresented in the literature, and less is known about its efficacy in this area in contributing to overall wellness and well-being in later life. Expanding the VR possibilities beyond traditional entertainment purposes holds considerable potential for the older adult market. Technological tools have been employed in the elder health care field for many years, and cutting-edge developments such as virtual and augmented reality have begun to be used to facilitate optimal wellness in aging. Such technological advances have the potential to significantly impact one of the most important issues that older people face: social isolation and loneliness. This paper will serve as an introductory exploration of what is currently known about the use of virtual reality technology with an older cohort.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Features of immersive virtual reality such as presence and immersion can assist older adults in their everyday lives, providing opportunities for health promotion and tackling social isolation and loneliness.
“In their scoping review, Hughes et al [8] discussed how features of IVR such as presence and immersion can assist older adults in their everyday lives, providing opportunities for health promotion and tackling social isolation and loneliness.”
From Older Adults’ Experiences and Perceptions of Immersive Virtual Reality: Systematic Review and Thematic Synthesis (2022) · cites this paper as [8]
The comfort and convenience of IVR activities being facilitated in a more accessible environment can offer greater motivation for older adults to adhere to health-promoting activities such as physical exercise.
“The comfort and convenience of activities such as these being facilitated in a more accessible environment can offer greater motivation for older adults to adhere to health-promoting activities such as physical exercise [8].”
From Older Adults’ Experiences and Perceptions of Immersive Virtual Reality: Systematic Review and Thematic Synthesis (2022) · cites this paper as [8]
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 23 · Cited by 58
- Authors
- Hughes, S., Warren-Norton, K., Spadafora, P., & Tsotsos, L.
- Affiliations
- Sheridan College (CA)
- Corresponding author
- Tsotsos, Lia
- ORCID
- Tsotsos, Lia
- Venue
- Multimodal Technologies and Interaction
- Publisher
- MDPI AG
- Published
- 2017-09-28
- Volume
- 1
- Issue
- 4
- Pages
- 23
- ISSN
- 2414-4088 (ISSN-L)
- OpenAlex
- W2759894456
- Cited by
- 58
- References
- 23
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 3 · 2023: 10 · 2022: 12 · 2021: 10 · 2020: 4 · 2019: 4 · 2018: 2
- FWCI
- 7.11
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Multimodal Technologies and Interaction (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- SOURCE Sheridan's Institutional Repository (Sheridan College) (submittedVersion, cc-by-nc)
- Funders
- NSERC (CCIP-396863-10)
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- virtual reality, older adults, optimal aging, social connectedness, social isolation, loneliness, well-being, augmented reality, technology for older people
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review