Evidence map›Paper›PMID 36812194›Full record

ArticlePloS one2023

Two is better than one: Apologies from two robots are preferred.

Yuka Okada, Mitsuhiko Kimoto, Takamasa Iio, Katsunori Shimohara, Masahiro Shiomi

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Yuka OkadaDepartment of Agent Interaction Design Laboratory, Advanced Telecommunications Research Institute International, Kyoto, Japan.
Mitsuhiko KimotoDepartment of Agent Interaction Design Laboratory, Advanced Telecommunications Research Institute International, Kyoto, Japan.
Takamasa IioDepartment of Agent Interaction Design Laboratory, Advanced Telecommunications Research Institute International, Kyoto, Japan.
Katsunori ShimoharaDepartment of Agent Interaction Design Laboratory, Advanced Telecommunications Research Institute International, Kyoto, Japan.
Masahiro ShiomiDepartment of Agent Interaction Design Laboratory, Advanced Telecommunications Research Institute International, Kyoto, Japan.ORCID 0000-0003-4338-801X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the capabilities of service robots are increasing, avoiding any mistakes is difficult. Therefore, strategies for mitigating mistakes, such as apology behavior designs, are essential for service robots. Past studies reported that costly apology is perceived as more sincere than non-costly ones and more acceptable. To increase the apology cost in robot service situations, we thought that using multiple robots would increase the perceived costs in the of financial, physical, and time costs. Therefore, we focused on the number of robots who apologize for their mistakes as well as their individual, specific roles and behaviors during such apologies. We investigated the differences in perceived impressions toward apologies from two robots (the main robot that makes a mistake and apologizes and a sub-robot that also apologizes) and an apology from just one robot (only the main robot) through a web survey with 168 valid participants. The experiment results showed that the participants significantly preferred and positively evaluated apologies from two robots more than one robot in the context of forgiveness, negative word-of-mouth, trust, and intention to use. We also conducted another web survey with 430 valid participants to investigate the effects of different roles for the sub-robot: apologize-only, cleaning-up-only, and both actions. The experimental results showed that the participants significantly preferred and positively evaluated both actions in the context of forgiveness and reliable/competent perspectives.

Indexed as

ForgivenessRoboticsAttitudeHumansSocial BehaviorTrust

Identifiers

PMID36812194
PMCPMC9946224

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.