Customer-robot interactions: Understanding customer experience with service robot
File version
Author(s)
Chen, Q
Huang, J
Kong, S
Li, Z
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
License
Abstract
Technology developments relating to automation, artificial intelligence, and robots have transformed the landscape of service industries, including hospitality and tourism. Through a qualitative content analysis of online review data, this study seeks a comprehensive and grounded understanding of customer experience with service robots in hospitality and tourism settings. The analysis identified four categories of customer experience: (1) sensory experience (verbal language, physical appearance, kinesics, and paralanguage), (2) cognitive experience (utility, cuteness, autonomy, coolness, interactivity, and courtesy), (3) affective experience (enjoyment, novelty, negative emotion, and satisfaction), and (4) conative experience (approach/resistance). Results led to the development of a framework representing customer experience with service robots and to insights into customer-robot interactions. Most customers described positive experiences, and while service robots performed well in delivering functional and emotional value, social interaction skills need improvement.
Journal Title
International Journal of Hospitality Management
Conference Title
Book Title
Edition
Volume
99
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Hospitality management
Retail
Psychology
Persistent link to this record
Citation
Huang, D; Chen, Q; Huang, J; Kong, S; Li, Z, Customer-robot interactions: Understanding customer experience with service robot, International Journal of Hospitality Management, 2021, 99, pp. 103078