Evidence map›Paper›PMID 36772176›Full record

ArticleSensors (Basel, Switzerland)2023

Pleasant Stroke Touch on Human Back by a Human and a Robot.

Tomoki Ishikura, Yuki Kitamura, Wataru Sato, Jun Takamatsu, Akishige Yuguchi, Sung-Gwi Cho, Ming Ding, Sakiko Yoshikawa, Tsukasa Ogasawara

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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

9 authors.

Tomoki IshikuraDivision of Information Science, Nara Institute of Science and Technology, Ikoma 630-0192, Japan.
Yuki KitamuraDivision of Information Science, Nara Institute of Science and Technology, Ikoma 630-0192, Japan.
Wataru SatoPsychological Process Research Team, Guardian Robot Project, RIKEN, Seika-cho, Soraku-gun, Kyoto 619-0228, Japan.ORCID 0000-0002-5335-1272
Jun TakamatsuDivision of Information Science, Nara Institute of Science and Technology, Ikoma 630-0192, Japan.ORCID 0000-0001-7457-2878
Akishige YuguchiDivision of Information Science, Nara Institute of Science and Technology, Ikoma 630-0192, Japan.ORCID 0000-0002-2985-1162
Sung-Gwi ChoDivision of Information Science, Nara Institute of Science and Technology, Ikoma 630-0192, Japan.ORCID 0000-0001-5022-9936
Ming DingDivision of Information Science, Nara Institute of Science and Technology, Ikoma 630-0192, Japan.ORCID 0000-0002-4919-5772
Sakiko YoshikawaFaculty of Art and Design, Kyoto University of the Arts, Kyoto 606-8271, Japan.
Tsukasa OgasawaraDivision of Information Science, Nara Institute of Science and Technology, Ikoma 630-0192, Japan.

Funding

Japan Science and Technology Agency CREST Grant Number JPMJCR17A5Japan Society for the Promotion of Science KAKENHI Grant Number JP17K13088, JP19H01124
6 · The paper itself

Abstract

Pleasant touching is an important aspect of social interactions that is widely used as a caregiving technique. To address the problems resulting from a lack of available human caregivers, previous research has attempted to develop robots that can perform this kind of pleasant touch. However, it remains unclear whether robots can provide such a pleasant touch in a manner similar to humans. To investigate this issue, we compared the effect of the speed of gentle strokes on the back between human and robot agents on the emotional responses of human participants (

Indexed as

RoboticsTouch PerceptionElectromyographyEmotionsFacial MusclesHumansTouchsocial interactionsubjective and physiological measuretouch by a robot

Identifiers

PMID36772176
PMCPMC9919452

What OpenQuestion holds

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Registered trials

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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.