Derivation of young children's interaction strategies with digital educational games from gaze sequences analysis
- Submitting institution
-
The University of Leicester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2390
- Type
- D - Journal article
- DOI
-
10.1016/j.ijhcs.2020.102558
- Title of journal
- International Journal of Human-Computer Studies
- Article number
- 102558
- First page
- .
- Volume
- 146
- Issue
- -
- ISSN
- 1071-5819
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
https://doi.org/10.1016/j.ijhcs.2020.102558
- 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
-
1
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- To investigate how young children interact with digital educational games (DEGs), we utilised eye-tracking technology and developed a novel metric, Gaze Sub-sequence Scores (GSSS). Derived from scanpath data that reveal the order in which game interface objects are viewed, GSSS goes well beyond the conventional use of fixation count to allow richer insights into children’s interaction strategies with DEGs. Researchers can now use GSSS to measure children’s confidence levels. Implications for designing DEGs were drawn, and our analysis of practical challenges of using eye-trackers with young children allowed us to make recommendations to render this technology more child-friendly and effective.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
