Evidence map›Paper›PMID 37881218›Full record

ArticleFrontiers in psychology2023

Human-like interactions prompt people to take a robot's perspective.

Tian Ye, Takashi Minato, Kurima Sakai, Hidenobu Sumioka, Antonia Hamilton, Hiroshi Ishiguro

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Tian YeDepartment of Psychology, Shandong Normal University, Jinan, China.
Takashi MinatoRIKEN Information R&D and Strategy Headquarters, Guardian Robot Project, Keihanna Science City, Kyoto, Japan.
Kurima SakaiHiroshi Ishiguro Laboratories, Advanced Telecommunications Research Institute International, Keihanna Science City, Kyoto, Japan.
Hidenobu SumiokaHiroshi Ishiguro Laboratories, Advanced Telecommunications Research Institute International, Keihanna Science City, Kyoto, Japan.
Antonia HamiltonInstitute of Cognitive Neuroscience, University College London, London, United Kingdom.
Hiroshi IshiguroHiroshi Ishiguro Laboratories, Advanced Telecommunications Research Institute International, Keihanna Science City, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing need for human-robot interaction requires not only robots to understand how humans think, but also humans to understand robots. Interestingly, little attention has been given to how humans interpret robots' behaviors. In this study, we adopted a social mental rotation task and investigated whether socially engaging behaviors could influence how people take a robot's perspectives. In a real lab, two android robots with neutral appearance sat opposite each other by a table with conflicting perspectives. Before the participant started the experiment, one of the robots behaved more interactively than the other by showing more socially engaging behaviors. Then the participant was required to identify rotated normal or mirrored digits presented inbetween the two robots. Results revealed a significant interactive effect between the digits type (normal; mirrored) and robot type (interactive; noninteractive). When digits were oriented to the interactive robot, we found a larger RT difference between normal and mirrored digits. In general, these findings suggested that robots' interactive behaviors could influence how people spontaneously consider the robot's perspective. Future studies may further consider how interactive behaviors can shape human-robot relationships and facilitate human-robot interaction.

Indexed as

anthropomorphismhumanisationhuman-robot interactionperspective-takingsocial behavior

Identifiers

PMID37881218
PMCPMC10597719

What OpenQuestion holds

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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.