Investigating the Role of Technical and Process Quality in Chatbots: A Case Study from the Insurance Industry

Tommi Pirilä, Joni Salminen, Victoria Sophie Osburg, Vignesh Yoganathan, Bernard J. Jansen

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Though artificial intelligence (AI) can benefit customer service, there are also user acceptance and quality concerns. We investigate these challenges that impact AI preference and adoption in a real customer service scenario. We focus on Emma, a customer service chatbot at a large Finnish insurance company. Our analysis, based on a survey of 225 consumers using the chatbot, shows that users are reasonably satisfied with Emma, though they are generally do not prefer it to a human. Process quality, relating to “soft” aspects of interaction, is essential for strengthening the users' AI preference. The chatbot's problem-solving ability acts as a hygiene factor, which alone cannot ensure adoption. As a pleasing and useful interaction is a prerequisite for AI user experience, organizations should consider both technical and process quality when implementing chatbots for customer service.

Original languageEnglish
Title of host publicationProceedings of the 55th Annual Hawaii International Conference on System Sciences, HICSS 2022
EditorsTung X. Bui
PublisherIEEE
Pages1236-1245
Number of pages10
ISBN (Electronic)9780998133157
Publication statusPublished - 3 Jan 2022
Event55th Annual Hawaii International Conference on System Sciences, HICSS 2022 - Virtual, Online, United States
Duration: 3 Jan 20227 Jan 2022

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2022-January
ISSN (Print)1530-1605

Conference

Conference55th Annual Hawaii International Conference on System Sciences, HICSS 2022
Country/TerritoryUnited States
CityVirtual, Online
Period3/01/227/01/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE Computer Society. All rights reserved.

Keywords

  • Sales
  • Insurance

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