International Journal of Contemporary Hospitality Management · 2024 · 52 citations · 52 references
ManagementHospitality ManagementPsychologyConsumer BehaviorService DesignSocial PerceptionAffective Human-robot InteractionCross-cultural Consumer BehaviorCultural Sensitivity In HospitalityHospitality Service DesignTrust Building Across CulturesTrust In Human-robot InteractionAnthropomorphic Robot DesignAnthropomorphismHuman Factors In Robot TrustHuman-robot Trust ModelsMediatorsModerating EffectsTrust In RobotsTrust In Service Robots
Purpose 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). Findings 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. Originality/value The authors introduce WA and CO as mediators between PA and CTSR and set the culture and service setting as moderators.
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Machines and Mindlessness: Social Responses to Computers
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Christoph Bartneck, Dana Kulić, Elizabeth A. Croft et al. · International Journal of Social Robotics · 2008 · 3.1K citations · Full text