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Authors:Jayalakshmi Baskar: Department of Computing Science, Umeå, Sweden
Helena Lindgren: Department of Computing Science, Umeå, Sweden
Dipak Surie: Department of Computing Science, Umeå, Sweden
Chunli Yan: Department of Computing Science, Umeå, Sweden
Farahnaz Yekeh: Department of Computing Science, Umeå, Sweden
Publication title:Personalisation and User Models for Support in Daily Living
Conference:The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS), 14–15 May 2012, Örebro, Sweden
Publication type: Abstract and Fulltext
Issue:071
Article No.:002
Abstract:In recent years, the interest in developing personalised applications for home environment has grown since it has a wide reach in helping people in their daily activities. However, for our purposes the concept activities of daily living also need to include work and leisure activities not necessarily performed in home environments. In this article, we describe an ongoing effort to develop a generic framework for assessing ability and tailoring of support applications in the health domain. We also give an overview of the approaches that have been adopted for personalisation and user modelling to various application areas. Suggestions of future development are provided.
Language:English
Keywords:Personalisation, User modelling, User models, Clinical decision-support systems, Multi-agent systems, Ambient intelligence, Human computer interaction, Adaptive hypermedia system, E-learning, Adaptive education systems, Machine learning, Intelligent tutoring systems
Year:2012
No. of pages:9
Pages:7-15
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ecp/071/002/ecp12071002.pdf
Available:2012-05-14
Publisher:Linköping University Electronic Press, Linköpings universitet

REFERENCE TO THIS PAGE
Jayalakshmi Baskar, Helena Lindgren, Dipak Surie, Chunli Yan, Farahnaz Yekeh (2012). Personalisation and User Models for Support in Daily Living, The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS), 14–15 May 2012, Örebro, Sweden http://www.ep.liu.se/ecp_article/index.en.aspx?issue=071;article=002 (accessed 9/22/2014)