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Conference Papers Year : 2014

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).
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Dates and versions

hal-00984772 , version 1 (28-04-2014)

Identifiers

  • HAL Id : hal-00984772 , version 1

Cite

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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