Evidence map›Paper›PMID 32250295›Full record

ReviewJournal of Alzheimer's disease : JAD2020

Ethical Issues Raised by the Introduction of Artificial Companions to Older Adults with Cognitive Impairment: A Call for Interdisciplinary Collaborations.

Elena Portacolone, Jodi Halpern, Jay Luxenberg, Krista L Harrison, Kenneth E Covinsky

Open access · greenAbstract readReview
In one paragraph

Review in Journal of Alzheimer's disease : JAD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
11.4field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 38 citations in OpenAlex.

  1. A strategic pathway for the ethical development of AI tools in dementia care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  15. Seeking a Sense of Belonging.Generations (San Francisco, Calif.) · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Elena PortacoloneInstitute for Health & Aging, University of California San Francisco, San Francisco, CA, USA.
Jodi HalpernSchool of Public Health, University of California Berkeley, Berkeley, CA, USA.
Jay LuxenbergOn Lok Lifeways, San Francisco, CA, USA.
Krista L HarrisonDivision of Geriatric Medicine, University of California San Francisco, San Francisco, CA, USA.
Kenneth E CovinskyDivision of Geriatric Medicine, University of California San Francisco, San Francisco, CA, USA.
University of California, San Francisco · USMather LifeWays · USUniversity of California, Berkeley · US

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI REBECCA L SUDORE · 2013 to 2026
$19.9M
Living Alone in Older Age with Cognitive ImpairmentK01AG049102 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PORTACOLONE, ELENA · 2015 to 2019
$724k
Palliative Care for People Living at Home with Advancing Dementia and Their CaregiversK01AG059831 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HARRISON, KRISTA LYN · 2019 to 2023
$720k
Access and use of long-term services and supports for older adults living alone with Alzheimer's disease and related dementias from four racial/ethnic groupsR56AG062165 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PORTACOLONE, ELENA · 2018 to 2018
$617k
NIA NIH HHS K01 AG049102NIA NIH HHS K01 AG059831NIA NIH HHS L30 AG060590NIA NIH HHS P30 AG044281NIA NIH HHS R56 AG062165
6 · The paper itself

Abstract

Due to the high costs of providing long-term care to older adults with cognitive impairment, artificial companions are increasingly considered as a cost-efficient way to provide support. Artificial companions can comfort, entertain, and inform, and even induce a sense of being in a close relationship. Sensors and algorithms are increasingly leading to applications that exude a life-like feel. We focus on a case study of an artificial companion for people with cognitive impairment. This companion is an avatar on an electronic tablet that is displayed as a dog or a cat. Whereas artificial intelligence guides most artificial companions, this application also relies on technicians "behind" the on-screen avatar, who via surveillance, interact with users. This case is notable because it particularly illustrates the tension between the endless opportunities offered by technology and the ethical issues stemming from limited regulations. Reviewing the case through the lens of biomedical ethics, concerns of deception, monitoring and tracking, as well as informed consent and social isolation are raised by the introduction of this technology to users with cognitive impairment. We provide a detailed description of the case, review the main ethical issues and present two theoretical frameworks, the "human-driven technology" platform and the emancipatory gerontology framework, to inform the design of future applications.

Indexed as

FriendsAgedAnimalsArtificial IntelligenceCatsCognitive DysfunctionDogsHumansPatient Care TeamRoboticsDementiaethicsrobotstechnology

Identifiers

PMID32250295
PMCPMC7437496
OpenAlexW3014844604

What OpenQuestion holds

Textmetadata
LicenceTDM
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.