Brüggemeier B, Breiter M, Kurz M, Schiwy J (2020)
Publication Type: Conference contribution
Publication year: 2020
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 12423 LNCS
Pages Range: 600-618
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN: 9783030601133
DOI: 10.1007/978-3-030-60114-0_40
We evaluate user experience (UX) when users play and control music with three smart speakers: Amazon’s Alexa Echo, Google Home and Apple’s Siri on a HomePod. For measuring UX we use four established UX metrics (AttrakDiff, SASSI, SUISQ-R, SUS). We investigated the sensitivity of these four questionnaires in two ways: firstly, we compared the UX reported for each of the speakers, secondly, we compared the UX of completing easy single tasks and more difficult multi-turn tasks with these speakers. We find that the investigated questionnaires are sufficiently sensitive to show significant differences in UX for these easy and difficult tasks. In addition, we find some significant UX differences between the tested speakers. Specifically, all tested questionnaires, except the SUS, show a significant difference in UX between Siri and Alexa, with Siri being perceived as more user friendly for controlling music. We discuss implications of our work for researchers and practitioners.
APA:
Brüggemeier, B., Breiter, M., Kurz, M., & Schiwy, J. (2020). User Experience of Alexa, Siri and Google Assistant When Controlling Music – Comparison of Four Questionnaires. In Constantine Stephanidis, Aaron Marcus, Elizabeth Rosenzweig, Pei-Luen Patrick Rau, Abbas Moallem, Matthias Rauterberg (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 600-618). Copenhagen, DK: Springer Science and Business Media Deutschland GmbH.
MLA:
Brüggemeier, Birgit, et al. "User Experience of Alexa, Siri and Google Assistant When Controlling Music – Comparison of Four Questionnaires." Proceedings of the 22nd International Conference on Human-Computer Interaction,HCII 2020, Copenhagen Ed. Constantine Stephanidis, Aaron Marcus, Elizabeth Rosenzweig, Pei-Luen Patrick Rau, Abbas Moallem, Matthias Rauterberg, Springer Science and Business Media Deutschland GmbH, 2020. 600-618.
BibTeX: Download