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Voice Assistant vs. Chatbot – Examining the Fit Between Conversational Agents’ Interaction Modalities and Information Search Tasks

Author

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  • Christine Rzepka

    (Ludwig-Maximilians-Universität München (LMU Munich))

  • Benedikt Berger

    (University of Münster)

  • Thomas Hess

    (Ludwig-Maximilians-Universität München (LMU Munich))

Abstract

Owing to technological advancements in artificial intelligence, voice assistants (VAs) offer speech as a new interaction modality. Compared to text-based interaction, speech is natural and intuitive, which is why companies use VAs in customer service. However, we do not yet know for which kinds of tasks speech is beneficial. Drawing on task-technology fit theory, we present a research model to examine the applicability of VAs to different tasks. To test this model, we conducted a laboratory experiment with 116 participants who had to complete an information search task with a VA or a chatbot. The results show that speech exhibits higher perceived efficiency, lower cognitive effort, higher enjoyment, and higher service satisfaction than text-based interaction. We also find that these effects depend on the task’s goal-directedness. These findings extend task-technology fit theory to customers’ choice of interaction modalities and inform practitioners about the use of VAs for information search tasks.

Suggested Citation

  • Christine Rzepka & Benedikt Berger & Thomas Hess, 2022. "Voice Assistant vs. Chatbot – Examining the Fit Between Conversational Agents’ Interaction Modalities and Information Search Tasks," Information Systems Frontiers, Springer, vol. 24(3), pages 839-856, June.
    • Handle: RePEc:spr:infosf:v:24:y:2022:i:3:d:10.1007_s10796-021-10226-5
    DOI: 10.1007/s10796-021-10226-5
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    2. Taoufiq Dadouch & Bouchra Bennani & Malika Haoucha, 2023. "Consumer Acceptance of Mobile Shopping Apps, From Basic Apps to AI-Conversational Apps: A Literature Review," Post-Print hal-04194657, HAL.
    3. Kumar, Anand & Bala, Pradip Kumar & Chakraborty, Shibashish & Behera, Rajat Kumar, 2024. "Exploring antecedents impacting user satisfaction with voice assistant app: A text mining-based analysis on Alexa services," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    4. Bettina Minder & Patricia Wolf & Matthias Baldauf & Surabhi Verma, 2023. "Voice assistants in private households: a conceptual framework for future research in an interdisciplinary field," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-18, December.
    5. Babak Abedin & Christian Meske & Iris Junglas & Fethi Rabhi & Hamid R. Motahari-Nezhad, 2022. "Designing and Managing Human-AI Interactions," Information Systems Frontiers, Springer, vol. 24(3), pages 691-697, June.

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