HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

An approach to User-Centric Context-Aware Assistance based on Interaction Traces

Damien Cram 1 Béatrice Fuchs 1 Yannick Prié 1 Alain Mille 1
1 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : This paper presents an approach to context-aware assisting systems that reuse user's personal experience as an alternative to traditional systems having an explicit context model associated to reasoning capabilities on this model. This approach proposes to model the use of the environment through interaction traces representing user's experience and different processes to manage user's traces intended to be exploited for later reuse. A user's assistance is based on the reuse of past traces that are semantically similar to the current sequence of interactions representing the current context of the user. The assistance is based on the identification of recurrent task signatures, which are sequential structures representing typical tasks. These signatures are user-centric since they have been interactively elaborated in accord with the user himself. This paper mentions some possible applications in terms of experience-based user assistance and makes a comparison of this approach to the case-based reasoning paradigm (CBR).
Document type :
Conference papers
Complete list of metadata

Contributor : Équipe Gestionnaire Des Publications Si Liris Connect in order to contact the contributor
Submitted on : Friday, September 8, 2017 - 11:54:54 AM
Last modification on : Monday, March 21, 2022 - 2:54:02 PM


  • HAL Id : hal-01584075, version 1


Damien Cram, Béatrice Fuchs, Yannick Prié, Alain Mille. An approach to User-Centric Context-Aware Assistance based on Interaction Traces. MRC 2008, Modeling and Reasoning in Context, Jun 2008, Delft, Netherlands. ⟨hal-01584075⟩



Record views