Language matters: humanizing service robots through the use of language during the COVID-19 pandemic

Smriti Kumar, Elizabeth G. Miller (), Martin Mende and Maura L. Scott
Additional contact information
Smriti Kumar: University of Massachusetts Amherst
Elizabeth G. Miller: University of Massachusetts Amherst
Martin Mende: Florida State University
Maura L. Scott: Florida State University

Marketing Letters, 2022, vol. 33, issue 4, No 6, 607-623

Abstract: Abstract Service robots are emerging quickly in the marketplace (e.g., in hotels, restaurants, and healthcare), especially as COVID-19-related health concerns and social distancing guidelines have affected people’s desire and ability to interact with other humans. However, while robots can increase efficiency and enable service offerings with reduced human contact, prior research shows a systematic consumer aversion toward service robots relative to human service providers. This potential dilemma raises the managerial question of how firms can overcome consumer aversion and better employ service robots. Drawing on prior research that supports the use of language for building interpersonal relationships, this research examines whether the type of language (social-oriented vs. task-oriented language) a service robot uses can improve consumer responses to and evaluations of the focal service robot, particularly in light of consumers’ COVID-19-related stress. The results show that consumers respond more favorably to a service robot that uses a social-oriented (vs. task-oriented) language style, particularly when these consumers experience relatively higher levels of COVID-19-related stress. These findings contribute to initial empirical evidence in marketing for the efficacy of leveraging robots’ language style to improve customer evaluations of service robots, especially under stressful circumstances. Overall, the results from two experimental studies not only point to actionable managerial implications but also to a new avenue of research on service robots that examines customer-robot interactions through the lens of language and in contexts that can be stressful for consumers (e.g., healthcare or some financial service settings).

Keywords: Robots; Services; Language; COVID-19; Service evaluation (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11002-022-09630-x

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