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Assessing the utility of the system usability scale for evaluating voice-based user interfaces

Debjyoti Ghosh, Pin Sym Foong, Shan Zhang, Shengdong Zhao

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Voice-based User Interfaces (VUIs) challenge our existing conceptions of usability since the standardized evaluation tools we use were typically developed for interfaces with visual feedback, whereas VUI's have predominantly eyes-free interactions. We experimented with the use of a well-validated tool, the System Usability Scale (SUS), to evaluate two existing, commercially available VUIs. We administered the SUS to 12 participants after they completed a set of scenario tasks on Amazon's Alexa and Apple's Siri. The results were consistent with previous studies comparing subjective rating scores and SUS, suggesting that the SUS is a valid evaluation tool for VUIs. Additionally, despite large, significant differences in adjective scale ratings and SUS scores, both systems performed similarly on the learnability items. We conclude with recommendations on the use of the SUS for evaluating VUIs. © 2018 Association for Computing Machinery.
Original languageEnglish
Title of host publicationProceedings of Chinese CHI 2018 - 6th International Symposium of Chinese CHI, ChineseCHI 2018
PublisherAssociation for Computing Machinery
Pages11-15
ISBN (Print)9781450365086
DOIs
Publication statusPublished - 21 Apr 2018
Externally publishedYes
Event6th International Symposium of Chinese CHI, ChineseCHI 2018 - Montreal, Canada
Duration: 21 Apr 201822 Apr 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference6th International Symposium of Chinese CHI, ChineseCHI 2018
PlaceCanada
CityMontreal
Period21/04/1822/04/18

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Conversational user interface
  • Evaluation
  • Voice user interface
  • Voice-based user interface

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