A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form
- Submitting institution
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The Open University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1513822
- Type
- D - Journal article
- DOI
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10.1016/J.Ijhcs.2018.01.004
- Title of journal
- International Journal of Human-Computer Studies
- Article number
- -
- First page
- 28
- Volume
- 112
- Issue
- -
- ISSN
- 1071-5819
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
-
-
- Citation count
- 71
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Assessing users' engagement is a frequent requirement when user-testing a system, but places an additional burden on the users. This paper presents an engagement metric that has been rigorously validated and that at the same time places only a minimal additional workload on users. It has seen widespread uptake, including evaluating Chatbots (Feine et al. 2020), Gamification in Education (Andrade et al. 2020), Crowdsourcing (van Alphen et al. 2020), Augmented Reality (Sanchesz-Francisco et al. 2019), and Remote Archaeology (Robinson et al. 2019). It was accepted to the International Journal of Human-Computer Studies, a leading journal on Human-Computer Interaction.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -