Uncertain text entry on mobile devices
- Submitting institution
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University of Glasgow
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-03441
- Type
- E - Conference contribution
- DOI
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10.1145/2556288.2557412
- Title of conference / published proceedings
- CHI 2014: ACM CHI Conference on Human Factors in Computing Systems
- First page
- 2307
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- -
- Year of publication
- 2014
- URL
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http://eprints.gla.ac.uk/89637/
- Supplementary information
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-
- Request cross-referral to
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- 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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4
- Research group(s)
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-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- ORIGINALITY: The first study to show that the explicit modelling of the uncertainty inherent in a user’s targeting behaviour on a mobile device can improve text entry rate. The method combines a probabilistic touch model with a state-of-the-art probabilistic language model. SIGNIFICANCE: Data entry on mobile devices is a ubiquitous but noisy task. Demonstrating the role of uncertainty has significant implications for design. An early example of Computational Interaction Design. A full paper at SIGCHI, the top international HCI conference. RIGOUR: The methods were validated using data collected during two bespoke user studies, following best practice in this area.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -