The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Description of Think Aloud Method and Protocol Analysis
Abstract
Think Aloud (TA) studies provide rich verbal data about reasoning during a problem solving task. Using TA and protocol analysis, investigators can identify the information that is concentrated on during problem solving and how that information is used to facilitate problem resolution. From this, inferences can be made about the reasoning processes that were used during the problem-solving task. In the past, the validity of data obtained from TA studies has been suspect because of inconsistencies in data collection and the inability to verify findings obtained from the slow, laborious process of protocol analysis. This article describes a means of obtaining more accurate verbal data and analyzing it in a standardized step-by-step manner.
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Cites
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Farao, J., Malila, B., Conrad, N., Mutsvangwa, T., Rangaka, M. X., & Douglas, T. S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0237910 · Cited by 203
Automated rationale generation: a technique for explainable AI and its effects on human perceptions
Ehsan, U., Tambwekar, P., Chan, L., Harrison, B., & Riedl, M. O. (2019) · Proceedings of the 24th International Conference on Intelligent User Interfaces · doi:10.1145/3301275.3302316 · Cited by 210
Slade, M., Rennick-Egglestone, S., Llewellyn-Beardsley, J., Yeo, C., Roe, J., Bailey, S., Smith, R. A., Booth, S., Harrison, J., Bhogal, A., et al. (2021) · JMIR Formative Research · doi:10.2196/24417 · Cited by 39
“During these tasks, participants were asked to verbalize their thoughts using a think-aloud protocol [79].”
Metadata
- Authors
- Fonteyn, M. E., Kuipers, B., & Grobe, S. J.
- Venue
- Qualitative Health Research
- Publisher
- SAGE Publications
- Published
- 1993-11
- Volume
- 3
- Issue
- 4
- Pages
- 430-441
- ISSN
- 1049-7323 (ISSN-L)
- 1552-7557
- OpenAlex
- W2125259630
- Cited by
- 670
- References
- 1
- FWCI
- 1.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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