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Categorizing UX Aspects for Voice User Interfaces Using the Kano Model

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Web Information Systems and Technologies (WEBIST 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 494))

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Abstract

Although voice user interfaces (VUIs) are widely available, they currently face challenges such as low adoption rates and user concerns. Users assess products through user experience (UX) aspects. Thus, knowing UX aspects for VUIs and their prioritization will improve UX and reduce challenges. In this study, we use a user-centered mixed-methods approach to identify and prioritize UX aspects of VUIs. Thereby, we identified 32 VUI UX aspects from the perspective of intensive users. We then applied the Kano model to categorize these UX aspects for which we analyzed \(N=195\) VUI users. One thing we found was that 21 VUI UX aspects are distinctively prioritized, such as privacy, data security, and ad-free as must-be, and simplicity, comprehension, and error-free as one-dimensional. These findings can help VUI developers to prioritize specific UX aspects according to their target group’s needs, enabling them to create VUIs that benefit and excite their users.

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Acknowledgements

This is an extension of the previously published conference paper from WEBIST’22: Proceedings of the 18th International Conference on Web Information Systems and Technologies. First, we would like to thank all participants for their time and the insights they provided. We also want to thank Anna Weigand for the tremendous support in finalizing the paper.

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Authors and Affiliations

  1. Faculty of Technology, University of Applied Sciences Emden/Leer, Emden, Germany

    Kristina Kölln, Andreas M. Klein, Jana Deutschländer & Maria Rauschenberger

  2. Department of Computer Languages and Systems, University of Seville, Seville, Spain

    Kristina Kölln & Andreas M. Klein

  3. University of Siegen, Siegen, Germany

    Dominique Winter

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  1. Kristina Kölln
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  5. Maria Rauschenberger
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Correspondence to Andreas M. Klein .

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Editors and Affiliations

  1. University of Padua (UNIPD), Padua, Italy

    Massimo Marchiori

  2. University of Seville, Seville, Spain

    Francisco José Domínguez Mayo

  3. Polytechnic Institute of Setúbal/INSTICC, Setubal, Portugal

    Joaquim Filipe

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Kölln, K., Klein, A.M., Deutschländer, J., Winter, D., Rauschenberger, M. (2023). Categorizing UX Aspects for Voice User Interfaces Using the Kano Model. In: Marchiori, M., Domínguez Mayo, F.J., Filipe, J. (eds) Web Information Systems and Technologies. WEBIST 2022. Lecture Notes in Business Information Processing, vol 494. Springer, Cham. https://doi.org/10.1007/978-3-031-43088-6_11

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