Computational Models of Miscommunication Phenomena
- Submitting institution
-
Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 489
- Type
- D - Journal article
- DOI
-
10.1111/tops.12324
- Title of journal
- Topics in Cognitive Science
- Article number
- 2
- First page
- 425
- Volume
- 10
- Issue
- 2
- ISSN
- 1756-8765
- Open access status
- Compliant
- Month of publication
- March
- 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)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Proposed computational models for a fundamental phenomenon of human conversation & how we repair communication problems. Summarises long-standing research stream (funded via EPSRC EP/J501360/1 2012, QMUL's EPSRC IAA 2012-2015), with invited talks at 8 universities in Europe and Japan (2012-2017). External impact in automatic diagnosis and prediction in mental health therapy, via collaboration, patent application (US and worldwide) and IP licensing to IESO Digital Health Ltd, a UK company now expanding to the US, having treated >70,000 patients to date via >400,000 hours therapy (v.tablan@iesohealth.com). Now extending to dementia diagnosis via U. Warwick collaboration and Alan Turing Institute fellowship (m.liakata@warwick.ac.uk).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -