Evidence map›Paper›PMID 40341673›Full record

ArticleScientific reports2025

The linguistic feedback of tourism robots significantly influences visitors' ecotourism behaviors.

Rui Chang, Dajun Yang, Dongjuan Lyu, Jun Cao, Yunyun Wei, Daibo Xiao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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

6 authors.

Rui ChangInstitute of Tourism Research, Huainan Normal University, Huainan, China.
Dajun YangSchool of Administration, North Sichuan Medical College, Nanchong, China.
Dongjuan LyuFaculty of Law, City University of Macau, Macao, China.
Jun CaoInstitute of Tourism Research, Huainan Normal University, Huainan, China.
Yunyun WeiInstitute of Tourism Research, Huainan Normal University, Huainan, China.
Daibo XiaoFaculty of Humanities and Social Sciences, City University of Macau, Macao, China. dbxiao@cityu.mo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the extensive application of artificial intelligence technology in the tourism industry, robot-assisted tourism has become a vital strategy for enhancing tourist experiences and promoting sustainable tourism practices. This study aims to explore the impact of language feedback from tourism robots on tourists' ecotourism behavior and analyze potential mediating and moderating mechanisms. Through three experimental studies, we found that robot guides with language feedback capabilities significantly improve tourists' ecotourism behavior. Specifically, environmental responsibility acts as a moderator between the robot's language feedback and tourists' ecotourism behavior, indicating that the robot's language feedback is more effective when tourists have a higher sense of environmental responsibility. Furthermore, the robot's language feedback enhances tourists' environmental awareness and responsibility by increasing cognitive trust and feedback propensity. The findings have practical implications for tourism destinations and operators in designing and implementing intelligent tourism services to promote tourists' ecological engagement.

Indexed as

LinguisticsRoboticsTourismAdultArtificial IntelligenceFeedbackFemaleHumansLanguageMaleCognitive trustEcotourism behaviorsEnvironmental responsibilityFeedback tendencyLinguistic feedbackTourism robots

Identifiers

PMID40341673
PMCPMC12062279

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.