Ontology for Cultural Variations in Interpersonal Communication: Building on Theoretical Models and Crowdsourced Knowledge
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-4688
- Type
- D - Journal article
- DOI
-
10.1002/asi.23824
- Title of journal
- Journal of the Association for Information Science and Technology
- Article number
- -
- First page
- 1411
- Volume
- 68
- Issue
- 6
- ISSN
- 2330-1635
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
https://doi.org/10.1002/asi.23824
- 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
-
4
- Research group(s)
-
B - AI (Artificial Intelligence)
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- First ontological model for capturing cultural variations in interpersonal communication. The ontology can underpin development of novel intelligent services in a broad range of applications where cultural awareness is crucial, from social media analytics to culturally-aware social robots. Applications of the approach are demonstrated in user modelling for gaining insights into user-generated content(UMAP2015) and modelling users’ cultural awareness(IUI2015), both premier conferences in intelligent user-adaptive systems. Based on long-lasting collaboration with social scientists(ImREAL, EU €4M). Led to current application in medical communication for palliative care needs analysis (InADVANCE, EU €5M), collaboration with health sciences. Keynotes: UK-Brazil-Newton workshop:Higher education for All 2017.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
