Evidence map›Paper›PMID 39110963›Full record

ArticleJournal of medical Internet research2024

Longitudinal Coadaptation of Older Adults With Wearables and Voice-Activated Virtual Assistants: Scoping Review.

Kristina Marie Kokorelias, Alisa Grigorovich, Maurita T Harris, Umair Rehman, Louise Ritchie, AnneMarie M Levy, Kerstin Denecke, Josephine McMurray

Abstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Cognitive Reablement Using Digital Voice Assistants for People Living With Dementia or Mild Cognitive Impairment: A Co-Design Study.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kristina Marie KokoreliasDivision of Geriatric Medicine, Department of Medicine, Sinai Health System and University Health Network, Toronto, ON, Canada.ORCID 0000-0002-1277-472X
Alisa GrigorovichKITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.ORCID 0000-0001-5363-7396
Maurita T HarrisUser Experience Design, Wilfrid Laurier University, Waterloo, ON, Canada.ORCID 0000-0002-6889-3015
Umair RehmanDepartment of Computer Science, University of Western Ontario, London, ON, Canada.ORCID 0000-0001-7716-6509
Louise RitchieAlzheimer Scotland Centre for Policy and Practice, University of West Scotland, Scotland, United Kingdom.ORCID 0000-0001-7603-9073
AnneMarie M LevyLazaridis School of Business and Economics/Community Health, Wilfrid Laurier University, Brantford, ON, Canada.ORCID 0000-0003-3252-5269
Kerstin DeneckeInstitute for Medical Informatics, Bern University of Applied Sciences, Bern, Switzerland.ORCID 0000-0001-6691-396X
Josephine McMurrayLazaridis School of Business and Economics/Community Health, Wilfrid Laurier University, Brantford, ON, Canada.ORCID 0000-0002-5607-3781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe integration of smart technologies, including wearables and voice-activated devices, is increasingly recognized for enhancing the independence and well-being of older adults. However, the long-term dynamics of their use and the coadaptation process with older adults remain poorly understood. This scoping review explores how interactions between older adults and smart technologies evolve over time to improve both user experience and technology utility.

objectiveThis review synthesizes existing research on the coadaptation between older adults and smart technologies, focusing on longitudinal changes in use patterns, the effectiveness of technological adaptations, and the implications for future technology development and deployment to improve user experiences.

methodsFollowing the Joanna Briggs Institute Reviewer's Manual and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, this scoping review examined peer-reviewed papers from databases including Ovid MEDLINE, Ovid Embase, PEDro, Ovid PsycINFO, and EBSCO CINAHL from the year 2000 to August 28, 2023, and included forward and backward searches. The search was updated on March 1, 2024. Empirical studies were included if they involved (1) individuals aged 55 years or older living independently and (2) focused on interactions and adaptations between older adults and wearables and voice-activated virtual assistants in interventions for a minimum period of 8 weeks. Data extraction was informed by the selection and optimization with compensation framework and the sex- and gender-based analysis plus theoretical framework and used a directed content analysis approach.

resultsThe search yielded 16,143 papers. Following title and abstract screening and a full-text review, 5 papers met the inclusion criteria. Study populations were mostly female participants and aged 73-83 years from the United States and engaged with voice-activated virtual assistants accessed through smart speakers and wearables. Users frequently used simple commands related to music and weather, integrating devices into daily routines. However, communication barriers often led to frustration due to devices' inability to recognize cues or provide personalized responses. The findings suggest that while older adults can integrate smart technologies into their lives, a lack of customization and user-friendly interfaces hinder long-term adoption and satisfaction. The studies highlight the need for technology to be further developed so they can better meet this demographic's evolving needs and call for research addressing small sample sizes and limited diversity.

conclusionsOur findings highlight a critical need for continued research into the dynamic and reciprocal relationship between smart technologies and older adults over time. Future studies should focus on more diverse populations and extend monitoring periods to provide deeper insights into the coadaptation process. Insights gained from this review are vital for informing the development of more intuitive, user-centric smart technology solutions to better support the aging population in maintaining independence and enhancing their quality of life. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/51129.

Indexed as

Wearable Electronic DevicesAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleMiddle AgedVoiceagingartificial intelligencecoadaptationdesigngeriatricgeriatricsgerontechnologyInternet of ThingsIoTknowledge synthesismobile phoneolder adultolder adultsolder peoplePreferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping ReviewsPRISMA-ScRprotocolreview methodologyreview methodsscopingscoping literature reviewscoping reviewsmartsmart-assistive technologysmart technologiessmart technologysynthesistechnologyuser centereduser-centered designvirtual assistantvoice recognitionwearable

Identifiers

PMID39110963
PMCPMC11339587

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.