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      Impact of anthropomorphic features of artificially intelligent service robots on consumer acceptance: moderating role of sense of humor

      , , ,
      International Journal of Contemporary Hospitality Management
      Emerald

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          Abstract

          Purpose

          This study aims to investigate the impact of both physical and personality-related anthropomorphic features of an artificial intelligence service robot on the cognitive and affective appraisals and acceptance of consumers during service delivery.

          Design/methodology/approach

          The proposed hypotheses that investigate the effects of service robots’ physical appearance on the emphasis consumers place on each evaluation criteria they use in determining their willingness to accept the use of service robots in service delivery and the moderating role of sense of humor are tested by conducting two studies using scenario-based experiments.

          Findings

          The results show that humanlike appearance leads to higher performance expectancy, mascot-like appearance generates higher positive emotions and machine-like appearance results in higher effort expectancy. The effects of humanlike and mascot-like appearances on consumer acceptance are moderated by the sense of humor of service robots. However, the sense of humor effect is attenuated with a machine-like appearance owing to the lack of anthropomorphism.

          Practical implications

          This study provides crucial insights for hospitality managers who plan to use service robots in service delivery. The findings highlight the key roles of appearance type and sense of humor of service robots in influencing the appraisals and acceptance of consumers regarding the use of service robots in service delivery.

          Originality/value

          This study focuses on comparing the effects of traditional and mascot-like appearances of service robots on consumer appraisals and identifies sense of humor as a cute anthropomorphized personality trait of service robots.

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          Most cited references63

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          On seeing human: a three-factor theory of anthropomorphism.

          Anthropomorphism describes the tendency to imbue the real or imagined behavior of nonhuman agents with humanlike characteristics, motivations, intentions, or emotions. Although surprisingly common, anthropomorphism is not invariant. This article describes a theory to explain when people are likely to anthropomorphize and when they are not, focused on three psychological determinants--the accessibility and applicability of anthropocentric knowledge (elicited agent knowledge), the motivation to explain and understand the behavior of other agents (effectance motivation), and the desire for social contact and affiliation (sociality motivation). This theory predicts that people are more likely to anthropomorphize when anthropocentric knowledge is accessible and applicable, when motivated to be effective social agents, and when lacking a sense of social connection to other humans. These factors help to explain why anthropomorphism is so variable; organize diverse research; and offer testable predictions about dispositional, situational, developmental, and cultural influences on anthropomorphism. Discussion addresses extensions of this theory into the specific psychological processes underlying anthropomorphism, applications of this theory into robotics and human-computer interaction, and the insights offered by this theory into the inverse process of dehumanization. PsycINFO Database Record (c) 2007 APA, all rights reserved.
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            Artificial Intelligence in Service

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              • Article: not found

              The Uncanny Valley [From the Field]

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                Author and article information

                Journal
                International Journal of Contemporary Hospitality Management
                IJCHM
                Emerald
                0959-6119
                0959-6119
                September 22 2021
                November 17 2021
                September 22 2021
                November 17 2021
                : 33
                : 11
                : 3883-3905
                Article
                10.1108/IJCHM-11-2020-1256
                c674540a-0eaf-415f-8227-1fed788c2d01
                © 2021

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