Rethinking thinking aloud: A comparison of three think-aloud protocols
- Submitting institution
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The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182621701
- Type
- E - Conference contribution
- DOI
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10.1145/3173574.3173618
- Title of conference / published proceedings
- CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
- First page
- 1
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2018
- URL
-
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- Supplementary information
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- Request cross-referral to
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- 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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1
- Research group(s)
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-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was presented at CHI 2018 Montreal, one of the premier international conferences in HCI, with an acceptance rate of about 20%. The study was extended by University of Toronto researchers working on patterns of verbalisations gained during thinking-aloud (Fan et al., ACM Transactions of Computer-Human Interaction, 2019), and employed in a recent empirical study identifying cognitive models needed for AI augmented design (Liao et al., Human-Computer Interaction Journal, 2020). Coauthor Alhadreti was a PhD student funded by the Saudi Government, who is now an Assistant Professor at Umm Al-Qura University, where he continues to research in HCI.
- Author contribution statement
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- Non-English
- No
- English abstract
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