A methodology for creating and validating psychological stories for conveying and measuring psychological traits
- Submitting institution
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University of Portsmouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 14539228
- Type
- D - Journal article
- DOI
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10.1007/s11257-019-09219-6
- Title of journal
- User Modeling and User-Adapted Interaction
- Article number
- -
- First page
- 573
- Volume
- 29
- Issue
- -
- ISSN
- 0924-1868
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
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B - Computational Intelligence
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is the first to propose a methodology for modelling and conveying personality for use in adaptive systems. The methodology has been adopted by many other researchers (e.g. Sidi-Ali et al., ACM UMAP'19, pp. 318–326; Alhathli et al., Frontiers in Artificial Intelligence, 2020, DOI: 10.3389/frai.2020.00011; Janssens, MSc Thesis, Utrecht University, 2019) to create stories to convey traits in their research, allowing them to understand how to adapt to such personality traits.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -