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How can I help you? Design principles for task-oriented speech dialog systems in customer service

Author

Listed:
  • Thuy Duong Oesterreich

    (Osnabrück University)

  • Eduard Anton

    (Osnabrück University)

  • Julian Schuir

    (Osnabrück University)

  • Alexander Brehm

    (Osnabrück University)

  • Frank Teuteberg

    (Osnabrück University)

Abstract

Organizations are increasingly delegating customer inquiries to speech dialog systems (SDSs) to save personnel resources. However, customers often report frustration when interacting with SDSs due to poorly designed solutions. Despite these issues, design knowledge for SDSs in customer service remains elusive. To address this research gap, we employ the design science approach and devise a design theory for SDSs in customer service. The design theory, including 14 requirements and five design principles, draws on the principles of dialog theory and undergoes validation in three iterations using five hypotheses. A summative evaluation comprising a two-phase experiment with 205 participants yields positive results regarding the user experience of the artifact. This study contributes to design knowledge for SDSs in customer service and supports practitioners striving to implement similar systems in their organizations.

Suggested Citation

  • Thuy Duong Oesterreich & Eduard Anton & Julian Schuir & Alexander Brehm & Frank Teuteberg, 2023. "How can I help you? Design principles for task-oriented speech dialog systems in customer service," Information Systems and e-Business Management, Springer, vol. 21(1), pages 37-79, March.
    • Handle: RePEc:spr:infsem:v:21:y:2023:i:1:d:10.1007_s10257-022-00570-7
    DOI: 10.1007/s10257-022-00570-7
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    1. Nicolas Pfeuffer & Alexander Benlian & Henner Gimpel & Oliver Hinz, 2019. "Anthropomorphic Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 523-533, August.
    2. Anna-Maria Seeger & Armin Heinzl, 2018. "Human Versus Machine: Contingency Factors of Anthropomorphism as a Trust-Inducing Design Strategy for Conversational Agents," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, pages 129-139, Springer.
    3. Mathieu Templier & Guy Paré, 2018. "Transparency in literature reviews: an assessment of reporting practices across review types and genres in top IS journals," European Journal of Information Systems, Taylor & Francis Journals, vol. 27(5), pages 503-550, September.
    4. Jill Walsh & Brittany Leigh Andersen & James E. Katz & Jacob Groshek, 2018. "Personal Power and Agency When Dealing with Interactive Voice Response Systems and Alternative Modalities," Media and Communication, Cogitatio Press, vol. 6(3), pages 60-68.
    5. Stephan Diederich & Alfred Benedikt Brendel & Lutz M. Kolbe, 2020. "Designing Anthropomorphic Enterprise Conversational Agents," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(3), pages 193-209, June.
    6. Joseph G. Walls & George R. Widmeyer & Omar A. El Sawy, 1992. "Building an Information System Design Theory for Vigilant EIS," Information Systems Research, INFORMS, vol. 3(1), pages 36-59, March.
    7. Dale L. Goodhue, 1995. "Understanding User Evaluations of Information Systems," Management Science, INFORMS, vol. 41(12), pages 1827-1844, December.
    8. Xueming Luo & Siliang Tong & Zheng Fang & Zhe Qu, 2019. "Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases," Marketing Science, INFORMS, vol. 38(6), pages 937-947, November.
    9. Moon, Youngme, 2000. "Intimate Exchanges: Using Computers to Elicit Self-Disclosure from Consumers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(4), pages 323-339, March.
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