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2023 | OriginalPaper | Buchkapitel

Categorizing UX Aspects for Voice User Interfaces Using the Kano Model

verfasst von : Kristina Kölln, Andreas M. Klein, Jana Deutschländer, Dominique Winter, Maria Rauschenberger

Erschienen in: Web Information Systems and Technologies

Verlag: Springer Nature Switzerland

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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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Titel: Categorizing UX Aspects for Voice User Interfaces Using the Kano Model
verfasst von: Kristina Kölln
Andreas M. Klein
Jana Deutschländer
Dominique Winter
Maria Rauschenberger
Verlag: Springer Nature Switzerland
Buch: Web Information Systems and Technologies
Print ISBN: 978-3-031-43087-9

Electronic ISBN: 978-3-031-43088-6

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-43088-6_11

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