How different visualizations affect human reasoning about uncertainty: An analysis of visual behaviour
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 84386236
- Type
- D - Journal article
- DOI
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10.1016/j.chb.2018.10.033
- Title of journal
- Computers in human behavior
- Article number
- -
- First page
- 55
- Volume
- 92
- Issue
- -
- ISSN
- 0747-5632
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2018
- 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
-
2
- Research group(s)
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A - Computer Science
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "This is the first research to use eye movements to model how people reason about risk. It demonstrates that visualisations equivalent in terms of reasoning accuracy actually evoke completely different reasoning strategies and error patterns.
Keynote at AstraZeneca Biomedical Informatics Global Group Gathering (2019).
The technique was later applied to mouse movements (https://doi.org/10.3389/fpsyg.2019.01548).
Led to lead author Reani getting Assistant Professorship at the Chinese University of Hong Kong after PhD and an invitation to guest edit Frontiers Research Topic ''Communication of Risk in the Public Realm''."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
