Evidence map›Paper›PMID 36236614›Full record

ArticleSensors (Basel, Switzerland)2022

A Care Robot with Ethical Sensing System for Older Adults at Home.

Jong-Wook Kim, Young-Lim Choi, Sang-Hyun Jeong, Jeonghye Han

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% 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, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Jong-Wook KimDepartment Electronics Engineering, Dong-A University, Busan 49315, Korea.ORCID 0000-0002-1343-5404
Young-Lim ChoiDepartment Electronics Engineering, Dong-A University, Busan 49315, Korea.
Sang-Hyun JeongDepartment Electronics Engineering, Dong-A University, Busan 49315, Korea.ORCID 0000-0002-5826-3917
Jeonghye HanDepartment Computer Education, Cheongju National University of Education, Cheongju 28690, Korea.ORCID 0000-0003-2796-4910
Dong-A University · KRCheongju National University of Education · KR

Funding

National Research Foundation of Korea 2020R1A2C1014649National Research Foundation of Korea NRF-2021R1A4A1022059
6 · The paper itself

Abstract

Many studies have explored emotional and mental services that robots can provide for older adults, such as offering them daily conversation, news, music, or health information. However, the ethical issues raised by using sensors for frail older adults to monitor their daily movements or their medication intake, for instance, are still being discussed. In this study, we develop an older adult-guided, caregiver-monitored robot, Dori, which can detect and recognize movement by sensing human poses in accordance with two factors from the human-centered artificial intelligence (HCAI) framework. To design the care robot's services based on sensing movement during daily activities, we conducted focus group interviews with two groups-caregivers and medical staff-on the topic of care robot services not for patients but for prefrail and frail elderly individuals living at home. Based on their responses, we derived the focal service areas of cognitive support, emotional support, physical activity support, medication management, and caregiver management. We also found the two groups differed in their ethical judgments in the areas of dignity, autonomy, controllability, and privacy for services utilizing sensing by care robots. Therefore, the pose recognition technology adopted in the present work uses only joint coordinate information extracted from camera images and thus is advantageous for protecting human dignity and personal information.

Indexed as

RoboticsSelf-Help DevicesAgedArtificial IntelligenceCaregiversFocus GroupsHumanscare robotfrail older adulthuman-centered artificial intelligencehuman poserobot ethics

Identifiers

PMID36236614
PMCPMC9572731
OpenAlexW4303981238

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.