MirrorMirror: A Mobile Application to Improve Speechreading Acquisition
- Submitting institution
-
Bournemouth University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 309131
- Type
- E - Conference contribution
- DOI
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10.1145/3173574.3173600
- Title of conference / published proceedings
- Conference on Human Factors in Computing Systems - Proceedings
- First page
- 0
- Volume
- 2018-April
- Issue
- 0
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- 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
- Yes
- Number of additional authors
-
-
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper built on a 2017 CHI paper, and saw the development of a mobile application to improve the learnability of speedreading/lipreading outside of adult education classes. Whereas the 2017 paper focused on understanding how lipreading is taught within classes, this paper focused on how students learn outside of classes. The mobile application was evaluated with students who were currently enrolled in classes. This work was seen as novel to the HCI community, as evidenced by its inclusion at CHI 2018, which is the top conference for Human-Computer Interaction research, with an acceptance rate = 25% (600 accepted from 2400).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -