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Former les futurs concepteurs de systèmes homme-machine complexes

Published: 11 November 2013 Publication History

Abstract

L'ingénierie des systèmes homme-machine implique la définition des besoins des utilisateurs en tant qu'éléments de l'architecture du système. Or l'analyse des pratiques industrielles dans la conception des systèmes complexes met en évidence des problèmes dans la prise en compte de l'utilisateur. Ces problèmes semblent insuffisamment traités par l'apport de cours d'analyse du besoin ou de conception d'IHM. En tant que formateurs de futurs concepteurs de systèmes homme-machine complexes, nous proposons une réponse à ces problèmes par la définition d'un nouvel enseignement en ingénierie des systèmes homme-machine complexes. Cet article présente la conception de cet enseignement, issue d'une réflexion sur les disciplines de l'analyse fonctionnelle, la conception participative et l'approche orientée objet, et menée à la lumière de quatre exigences : définir l'usage, susciter la co-évolution besoin-solution, définir de façon exhaustive les caractéristiques techniques, formaliser les besoins.

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cover image ACM Other conferences
IHM '13: Proceedings of the 25th Conference on l'Interaction Homme-Machine
November 2013
146 pages
ISBN:9781450324076
DOI:10.1145/2534903
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 11 November 2013

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Author Tags

  1. Conception Orientée Objet
  2. Conception Participative
  3. Enseignement
  4. Ingénierie Système

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IHM '13 Paper Acceptance Rate 16 of 42 submissions, 38%;
Overall Acceptance Rate 103 of 199 submissions, 52%

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