Automatic Detection of Reflective Thinking in Mathematical Problem Solving based on Unconstrained Bodily Exploration
- Submitting institution
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University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 32130502
- Type
- D - Journal article
- DOI
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10.1109/TAFFC.2020.2978069
- Title of journal
- IEEE Transactions on Affective Computing
- Article number
- -
- First page
- 1
- Volume
- 0
- Issue
- -
- ISSN
- 1949-3045
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2020
- 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
- No
- Number of additional authors
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8
- Research group(s)
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B - Northumbria Social Computing (NorSC)
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work in this paper presents the first automatic analysis in real life situation of cognitive state in educational setting. Supported by both quantitative evaluation and qualitative analysis of the data. Moreover, the data collected in this work forms part of the weDraw Movement Corpus dataset, https://zenodo.org/record/2548828#.XwNK7ShKiUm, which is being disseminated to support the future development of automatic recognition systems for education settings. The analysis methods from the work formed part of the development of ongoing collaboration between 11 institutions across 9 countries in the Entimement project https://entimement.dibris.unige.it/ (GA824160), exploring new avenues of body movement analysis.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -