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

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).
Type de document :
Communication dans un congrès
Atelier Fouille visuelle de données temporelles, IHM 2013, Nov 2014, Bordeaux, France. 2p, 2014
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https://hal.archives-ouvertes.fr/hal-00984772
Contributeur : Yannick Prié <>
Soumis le : lundi 28 avril 2014 - 18:04:56
Dernière modification le : jeudi 19 avril 2018 - 14:38:05

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  • HAL Id : hal-00984772, version 1

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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, 2014. 〈hal-00984772〉

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