Evidence map›Paper›PMID 35782883›Full record

ArticleJournal of rehabilitation and assistive technologies engineering

User perspectives on emotionally aligned social robots for older adults and persons living with dementia.

Jill A Dosso, Ela Bandari, Aarti Malhotra, Gabriella K Guerra, Jesse Hoey, François Michaud, Tony J Prescott, Julie M Robillard

Open access · diamondAbstract read
In one paragraph

Article in Journal of rehabilitation and assistive technologies engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

12 citing papers in PubMed, 30 citations in OpenAlex.

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  8. The League: A person-centred approach to the development of social robotics for paediatric anxiety.Health expectations : an international journal of public participation in health care and health policy · 2024
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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 at 4 institutions in 2 countries.

Jill A DossoDepartment of Medicine, Division of Neurology, The University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0003-1570-9496
Ela BandariDepartment of Medicine, Division of Neurology, The University of British Columbia, Vancouver, BC, Canada.
Aarti MalhotraDavid R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada.
Gabriella K GuerraDepartment of Medicine, Division of Neurology, The University of British Columbia, Vancouver, BC, Canada.
Jesse HoeyDavid R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada.
François MichaudDepartment of Electrical Engineering and Computer Engineering, Université de Sherbrooke, Sherbrooke, QC, Canada.
Tony J PrescottDepartment of Computer Science, The University of Sheffield, Sheffield, UK.
Julie M RobillardDepartment of Medicine, Division of Neurology, The University of British Columbia, Vancouver, BC, Canada.
University of British Columbia · CAUniversity of Waterloo · CAUniversité de Sherbrooke · CAUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Socially assistive robots are devices designed to aid users through social interaction and companionship. Social robotics promise to support cognitive health and aging in place for older adults with and without dementia, as well as their care partners. However, while new and more advanced social robots are entering the commercial market, there are still major barriers to their adoption, including a lack of emotional alignment between users and their robots. Affect Control Theory (ACT) is a framework that allows for the computational modeling of emotional alignment between two partners. Methods: We conducted a Canadian online survey capturing attitudes, emotions, and perspectives surrounding pet-like robots among older adults ( Results: We demonstrate the potential of ACT to model the emotional relationship between older adult users and three exemplar robots. We also capture a rich description of participants' robot attitudes through the lens of the Technology Acceptance Model, as well as the most important ethical concerns around social robot use. Conclusions: Findings from this work will support the development of emotionally aligned, user-centered robots for older adults, care partners, and people living with dementia.

Indexed as

affect control theorycare partnersdementiaemotional alignmentolder adultspet-like robotsSocial robotics

Identifiers

PMID35782883
PMCPMC9248047
OpenAlexW4283826435

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.