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

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
Document type :
Conference papers
Complete list of metadata
https://hal.archives-ouvertes.fr/hal-00984772
Contributor : Yannick Prié Connect in order to contact the contributor
Submitted on : Monday, April 28, 2014 - 6:04:56 PM
Last modification on : Wednesday, April 27, 2022 - 4:15:55 AM

Identifiers

  • HAL Id : hal-00984772, version 1

Collections

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

Citation

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⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

244