Mediated Communication and Customer Service Experiences

Psychological and Demographic Predictors of User Evaluations in the United States

Authors

  • Kate K. Mays
    Affiliation
    Division of Emerging Media Studies, College of Communication, Boston University, 640 Commonwealth Avenue, Boston, Massachusetts 02215, United States of America
  • James E. Katz
    Affiliation
    Division of Emerging Media Studies, College of Communication, Boston University, 640 Commonwealth Avenue, Boston, Massachusetts 02215, United States of America
  • Jacob Groshek
    Affiliation
    A.Q. Miller School of Journalism and Mass Communications, Kansas State University, 105 Kedzie Hall, Manhattan, Kansas 66506, United States of America
https://doi.org/10.3311/PPso.16882

Abstract

People around the world who seek to interact with large organisations increasingly find they must do so via mediated and automated communication. Organisations often deploy both mediated and automated platforms, such as instant messaging and interactive voice response systems (IVRs), for efficiency and cost-savings. Customer and client responses to these systems range from delight to frustration. To better understand the factors affecting people's satisfaction with these systems, we conducted a representative U.S. national survey (N = 1321). We found that people overwhelmingly like and trust in-person customer service compared to mediated and automated modalities. As to demographic attitude predictors, age was important (older respondents liked mediated systems less), but income and education were not strong attitude predictors. For personality variables, innovativeness was positively associated with mediated system satisfaction. However, communication apprehensiveness, which we expected to be related to satisfaction, was not. We conclude by discussing implications for the burgeoning field of human-machine communication, as well as social policy, equity, and the pullulating digital services divide.

Keywords:

automation, interactive voice response systems, IVRs, customer service, social media, chatbots

Citation data from Crossref and Scopus

Published Online

2022-01-03

How to Cite

Mays, K. K., Katz, J. E., Groshek, J. (2022) “Mediated Communication and Customer Service Experiences: Psychological and Demographic Predictors of User Evaluations in the United States”, Periodica Polytechnica Social and Management Sciences, 30(1), pp. 1–11. https://doi.org/10.3311/PPso.16882

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Articles