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A Survey-Based Study to Identify User Annoyances of German Voice Assistant Users

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HCI in Business, Government and Organizations (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13327))

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Abstract

Voice user interfaces (VUIs) offer an intuitive, fast and convenient way for humans to interact with machines and computers. Yet, whether they’ll be truly successful and find widespread uptake in the near future depends on the user experience (UX) they offer. With this survey-based study (n = 108), we aim to identify the major annoyances German voice assistant users are facing in voice-driven human-computer interactions. The results of our questionnaire show that irritations appear in six categories: privacy issues, unwanted activation, comprehensibility, response quality, conversational design and voice characteristics. Our findings can help identify key areas of work to optimize voice user experience in order to achieve greater adaptation of the technology. In addition, they can provide valuable information for the further development and standardization of voice user experience (VUX) research.

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Author information

Authors and Affiliations

  1. Hochschule Offenburg, Badstrasse 24, 77652, Offenburg, Germany

    Annebeth Demaeght & Andrea Müller

  2. Pädagogische Hochschule Freiburg, Kunzenweg 21, 79117, Freiburg, Germany

    Josef Nerb

Authors
  1. Annebeth Demaeght
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  2. Josef Nerb
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  3. Andrea Müller
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Corresponding author

Correspondence to Annebeth Demaeght .

Editor information

Editors and Affiliations

  1. City University of Hong Kong, Hong Kong, Hong Kong

    Fiona Fui-Hoon Nah

  2. City University of Hong Kong, Hong Kong, Hong Kong

    Keng Siau

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Demaeght, A., Nerb, J., Müller, A. (2022). A Survey-Based Study to Identify User Annoyances of German Voice Assistant Users. In: Fui-Hoon Nah, F., Siau, K. (eds) HCI in Business, Government and Organizations. HCII 2022. Lecture Notes in Computer Science, vol 13327. Springer, Cham. https://doi.org/10.1007/978-3-031-05544-7_20

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  • DOI: https://doi.org/10.1007/978-3-031-05544-7_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05543-0

  • Online ISBN: 978-3-031-05544-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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