Evidence map›Paper›PMID 37521889›Full record

ArticleBelitung nursing journal2022

Characteristics of interactive communication between Pepper robot, patients with schizophrenia, and healthy persons.

Feni Betriana, Ryuichi Tanioka, Tomoya Yokotani, Kazuyuki Matsumoto, Yueren Zhao, Kyoko Osaka, Misao Miyagawa, Yoshihiro Kai, Savina Schoenhofer, Rozzano C Locsin and 1 more

Open access · goldAbstract readCase Reports
In one paragraph

Article in Belitung nursing journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Robots and Robotics in Nursing.Healthcare (Basel, Switzerland) · 2022
    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

11 authors at 6 institutions in 2 countries.

Feni BetrianaGraduate School of Health Sciences, Tokushima University, Tokushima, Japan.ORCID https://orcid.org/0000-0002-8248-367X
Ryuichi TaniokaGraduate School of Health Sciences, Tokushima University, Tokushima, Japan.ORCID https://orcid.org/0000-0002-5155-8042
Tomoya YokotaniGraduate School of Health Sciences, Tokushima University, Tokushima, Japan.ORCID https://orcid.org/0000-0001-9157-2984
Kazuyuki MatsumotoGraduate School of Technology, Industrial and Social Sciences, Tokushima University, Tokushima, Japan.ORCID https://orcid.org/0000-0002-9820-1470
Yueren ZhaoDepartment of Psychiatry, School of Medicine, Fujita Health University, Aichi, Japan.
Kyoko OsakaDepartment of Clinical Nursing, Kochi Medical School, Kochi University, Kochi, Japan.ORCID https://orcid.org/0000-0002-4600-3085
Misao MiyagawaDepartment of Nursing, Faculty of Health and Welfare, Tokushima Bunri University, Tokushima, Japan.
Yoshihiro KaiDepartment of Mechanical Engineering, Tokai University, Kanagawa, Japan.
Savina SchoenhoferAnne Boykin Institute, Florida Atlantic University, Boca Raton, FL 33431-0991, USA.ORCID https://orcid.org/0000-0001-9707-947X
Rozzano C LocsinTokushima University, Tokushima, Japan.ORCID https://orcid.org/0000-0002-2952-6538
Tetsuya TaniokaDepartment of Nursing Outcome Management, Institute of Biomedical Sciences, Tokushima University, Tokushima, Japan.ORCID https://orcid.org/0000-0002-2847-1862
Tokushima University · JPFlorida Atlantic University · USFujita Health University · JPKōchi University · JPTokai University · JPTokushima Bunri University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Expressing enjoyment when conversing with healthcare robots is an opportunity to enhance the value of human robots with interactive capabilities. In clinical practice, it is common to find verbal dysfunctions in patients with schizophrenia. Thus, interactive communication characteristics may vary between Pepper robot, persons with schizophrenia, and healthy persons. Objective: Two case studies aimed to describe the characteristics of interactive communications, 1) between Pepper as a healthcare robot and two patients with schizophrenia, and 2) between Pepper as a healthcare robot and two healthy persons. Case Report: The "Intentional Observational Clinical Research Design" was used to collect data. Using audio-video technology, the conversational interactions between the four participants with the Pepper healthcare robot were recorded. Their interactions were observed, with significant events noted. After their interactions, the four participants were interviewed regarding their experience and impressions of interacting with the Pepper healthcare robot. Audio-video recordings were analyzed following the analysis and interpretation protocol, and the interview data were transcribed, analyzed, and interpreted. Discussion: There were similarities and differences in the interactive communication characteristics between the Pepper robot and the two participants with schizophrenia and between Pepper and the two healthy participants. The similarities were experiences of human enjoyment while interacting with the Pepper robot. This enjoyment was enhanced with the expectancy of the Pepper robot as able to entertain, and possessing interactive capabilities, indicating two-way conversational abilities. However, different communicating characteristics were found between the healthy participants' impressions of the Pepper robot and the participants with schizophrenia. Healthy participants understood Pepper to be an automaton, with responses to questions often constrained and, on many occasions, displaying inaccurate gaze. Conclusion: Pepper robot showed capabilities for effective communication pertaining to expressing enjoyment. The accuracy and appropriateness of gaze remained a critical characteristic regardless of the situation or occasion with interactions between persons with schizophrenia, and between healthy persons. It is important to consider that in the future, for effective use of healthcare robots with multiple users, improvements in the areas of the appropriateness of gaze, response time during the conversation, and entertaining functions are critically observed.

Indexed as

communicationdelivery of health careroboticsschizophrenia

Identifiers

PMID37521889
PMCPMC10386810
OpenAlexW4224436751

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.