Understanding Concept Maps: A Closer Look at How People Organise Ideas
- Submitting institution
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Heriot-Watt University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 15019530
- Type
- E - Conference contribution
- DOI
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10.1145/3025453.3025977
- Title of conference / published proceedings
- Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
- First page
- 815
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- May
- Year of publication
- 2017
- 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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3
- Research group(s)
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-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This output advances the fundamental understanding of a widely known and used visualisation method. The work won an Honourable Mention Award; top 5% submissions of SIGCHI 2017 (world-leading conference in Human-Computer Interaction - h5-index 85, h5-median: 105). The work is an interdisciplinary mixture of HCI, Visualisation, Data Science, and Human perception research. Impact a) forming an essential component for EPSRC Impact Acceleration Grant (Exploiting Impact Using a Modular Decision-Making Toolset). b) contributed second publication in SIGCHI 2018 (Improving User Confidence in Concept Maps: Exploring Data-Driven Explanations - 10.1145/3173574.3173978); c) output for research challenge in Data Science for Scotland (10.13140/RG.2.2.29223.04004).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
