The linguistic feedback of tourism robots significantly influences visitors’ ecotourism behaviors

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.

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Publication Details

Journal
Scientific Reports
Published
2025-05-08
DOI
https://doi.org/10.1038/s41598-025-01045-8
Citations
3
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
7.44
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article

The linguistic feedback of tourism robots significantly influences visitors’ ecotourism behaviors

Daibo Xiao, Rui Chang, Jun Cao, Yunyun Wei et al.
3 citations
Scientific Reports
AI in Service Interactions
7.44
article

The linguistic feedback of tourism robots significantly influences visitors’ ecotourism behaviors

Daibo Xiao, Rui Chang, Jun Cao, Yunyun Wei, Dajun Yang, Dongjuan Lyu
article en
3 citations

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.

Scientific ReportsVol. 15(1)
North Sichuan Medical University (CN), Huainan Normal University (CN), City University of Macau (MO)
Decent work and economic growth
Openalex Percentile: Top 3%
AI in Service Interactions
7.44
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