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UX-Handle: A Cloud-based System to Streamline Usability Testing Analytics

Bond, Raymond, Mulvenna, Maurice, Wallace, Jonathan, Finlay, Dewar, Boyd, Kyle and Patterson, Megan (2017) UX-Handle: A Cloud-based System to Streamline Usability Testing Analytics. In: 31st British Human Computer Interaction Conference, University of Sunderland’s St. Peter’s Campus. BCS & ACM. 2 pp. [Conference contribution]

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URL: http://hci2017.bcs.org

Abstract

User researchers have a poor user experience when analysing data collected from usability tests. Post-usability test analytics is a non-standard process where there is a lack of best practice guidelines and data management workflows. Moreover, usability analytics is normally a tedious and time consuming task. This paper presents a semi-automatic web-based system to improve the user experience of analysing user videos and other data from usability tests. The system presented is called UX-Handle (www.uxhandle.com) and was developed using a web technology stack. UX-Handle allows researchers to input UX-related data including demographic data, systematic usability scale scores, single ease question scores and to efficiently annotate user videos with ‘use’ errors, task completion times and user emotions amongst others. As a result, standard usability metrics are automatically presented using charts and graphs.

Item Type:Conference contribution (Paper)
Keywords:usability testing, user analytics, user interfaces, human-computer interaction
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Art, Design and the Built Environment > Belfast School of Art
Faculty of Art, Design and the Built Environment
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Art and Design Research Institute > Future and Virtual Worlds
Engineering Research Institute
Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
Computer Science Research Institute > Artificial Intelligence and Applications
Art and Design Research Institute
ID Code:37981
Deposited By: Dr Raymond Bond
Deposited On:29 May 2017 09:06
Last Modified:17 Oct 2017 16:30

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