A preference modelling approach to support intelligibility in pervasive applications

Fong, Johnson, Indulska, Jadwiga and Robinson, Ricky (2011). A preference modelling approach to support intelligibility in pervasive applications. In: Proceedings of the 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops). 8th IEEE Workshop on Context Modeling and Reasoning (CoMoRea 2011), Seattle, WA, United States, (409-414). 21-25 March 2011. doi:10.1109/PERCOMW.2011.5766924

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Author Fong, Johnson
Indulska, Jadwiga
Robinson, Ricky
Title of paper A preference modelling approach to support intelligibility in pervasive applications
Conference name 8th IEEE Workshop on Context Modeling and Reasoning (CoMoRea 2011)
Conference location Seattle, WA, United States
Conference dates 21-25 March 2011
Proceedings title Proceedings of the 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2011
Sub-type Fully published paper
DOI 10.1109/PERCOMW.2011.5766924
ISBN 9781612849386
9781612849362
Start page 409
End page 414
Total pages 6
Collection year 2012
Language eng
Abstract/Summary Context-aware applications do not always adapt their behaviours in ways that users expect due to a variety of reasons. Applications that lack intelligibility are often incapable of offering explanations to users as to why they decided to adapt their behaviours in certain ways, and providing feedback mechanisms for users to take control of any unwanted adaptation. This can lead to loss of user trust, satisfaction and acceptance of these applications. However, providing intelligibility and user control in applications are non-trivial; it involves exposing internal working components that influence the adaptation decisions, rendering them understandable to non-technical users, and enabling user modifications to those components to correct unexpected adaptations. This paper describes a user preference model regarding application adaptations. The goal is to support intelligibility in applications by facilitating users in generation of clear mental models that enable them to understand the links between particular contextual situations and various adaptive actions. It also aims to support user control of application behaviours by assisting developers in the creation of appropriate feedback mechanisms. These are essential in preventing user frustration at erratic application behaviours.
Keyword Context modelling
Context-awareness
Intelligibility
Preference modelling
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Sat, 29 Oct 2011, 00:09:02 EST by Jadwiga Indulska on behalf of School of Information Technol and Elec Engineering