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Mining Users Skills Development From Interaction Traces: an exploratory study.

Amaury Belin 1 Antipov Grigory 2 Julien Blanchard 2 Fabrice Guillet 2 Yannick Prié 3
1 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 LINA - Laboratoire d'Informatique de Nantes Atlantique
3 LINA
Abstract : In this paper, we report an exploratory work related to the detection of user skills development from large interactions traces. We present a statistical approach to tackle the development of user's low level skills by identifying patterns of action and studying their progressive automations (i.e. as a user develops skills, they execute common subsequent actions faster) as well as their evolutions (i.e. user elaborating innovative ways to achieve a common task).
Keywords : frequent episode mining Interaction trace user skills data mining
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https://hal.archives-ouvertes.fr/hal-00984772
Contributor : Yannick Prié <>
Submitted on : Monday, April 28, 2014 - 6:04:56 PM
Last modification on : Wednesday, November 20, 2019 - 2:29:41 AM

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  • HAL Id : hal-00984772, version 1

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CNRS | EC-LYON | LIRIS | UNIV-NANTES | LINA-DUKE | LINA | UNIV-LYON2 | INSA-LYON | UNIV-LYON1 | INSA-GROUPE | UDL

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Amaury Belin, Antipov Grigory, Julien Blanchard, Fabrice Guillet, Yannick Prié. Mining Users Skills Development From Interaction Traces: an exploratory study.. Atelier Fouille visuelle de données temporelles, IHM 2013, Nov 2014, Bordeaux, France. 2p. ⟨hal-00984772⟩

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