Automated Usability Smell Detection in VR Applications with AutoQUEST

  • The quality of software products is not only measured by their set of functionality and features, the User Experience (UX) and the quality of the applications’ User Interface (UI) gets more and more important. In order to measure and improve the usability of UIs, it is often required to perform user tests with potential future users. Performing these user tests, taking notes meanwhile and analyzing all the collected data to derive some meaningful results can be a time-consuming task. An automated approach to evaluate the usability of UIs may save time and help to improve the UX. In this tutorial, we present AutoQUEST, a set of tools to automatically record user interaction data and perform automated usability evaluation. The evaluation is done by detecting common interaction structures and assessing them with respect to patterns representing known UX issues. We will demonstrate this usability evaluation technique on an existing study of a Virtual Reality (VR) application of our own.

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Metadaten
Author:Dominick Leppich, Patrick HarmsORCiD
DOI:https://doi.org/10.1145/3531706.3536449
Document Type:conference proceeding (article)
Language:English
Date of first Publication:2022/06/21
Reviewed:Begutachtet/Reviewed
Release Date:2025/02/05
Pagenumber:59 - 60
Konferenzangabe:EICS ´22 Companion: Companion of the 2022 ACM SIGCHI Symposium on Engineering Interactive Computing Systems
institutes:Fakultät für Elektrotechnik Feinwerktechnik Informationstechnik
Ohm User Experience Center (Ohm-UX)
Research Themes:Digitalisierung & Künstliche Intelligenz
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International
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