Robotics & Machine Learning Daily News2024,Issue(Feb.23) :35-35.DOI:10.1108/ijchm-06-2023-0845

Data on Robotics Detailed by Researchers at Shanghai Normal University (How Service Robots’ Human-like Appearance Impacts Consumer Trust: a Study Across Diverse Cultures and Service Settings)

Robotics & Machine Learning Daily News2024,Issue(Feb.23) :35-35.DOI:10.1108/ijchm-06-2023-0845

Data on Robotics Detailed by Researchers at Shanghai Normal University (How Service Robots’ Human-like Appearance Impacts Consumer Trust: a Study Across Diverse Cultures and Service Settings)

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Abstract

Researchers detail new data in Robotics. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “This study aims to compares the effects of different human-like appearances (low vs. medium vs. high) of service robots (SRs) on consumer trust in service robots (CTSR), examines the mediating role of perceived warmth (WA) and perceived competence (CO) and demonstrates the moderating role of culture and service setting. Design/methodology/approach The research design includes three scenario-based experiments (Chinese hotel setting, American hotel setting, Chinese hospital setting).” Our news editors obtained a quote from the research from Shanghai Normal University, “Study 1 found SR’s human-like appearance can arouse perceived anthropomorphism (PA), which positively affects CTSR through parallel mediators (WA and CO). Study 2 revealed consumers from Chinese (vs. American) culture had higher CTSR. Study 3 showed consumers had higher WA and CO for SRs in the credence (vs. experience) service setting. The authors also had an exploratory analysis of the uncanny valley phenomenon. Practical implications The findings have practical implications for promoting the diffusion of SRs in the hospitality industry. Managers can increase CTSR by augmenting the anthropomorphic design of SRs; however, they must consider the differences in this effect across all service recipients (consumers from different cultures) and service settings.”

Key words

Shanghai/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Shanghai Normal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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