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Master Thesis

Mobile learning situé-application au dépannage (Thématique HelpMeToDo)

Abstract : The hardening atmosphere of the worldwide markets pushes firms and their personnel to offer persistently improvements and innovations. In this context of competition, reactivity and adaptability of all the staff are critical. The needs of collaboration, mobility and access to the information adapted to action, learning and training are particularly important. Our study concretize these needs within the Help Me To Do project which aim is to alleviate difficulties also information's and training's lacks met by people during the tasks of diagnosis, service and repairing in industrial field. During our research, our main purpose was to study the HMTD project, to ameliorate and to apply the different principles and concepts on a concrete scenario. This study principally lies within the scope of a method based on the modelling of applicative task and the use of interaction tasks and techniques to allow the choice of the most adapted interaction devices. At the end of our research, we introduce a new essential element of the method: "the interaction atoms", smallest part of the interaction tasks, which can't be broken-up, independent of context and interaction device. With these interaction atoms, we classify and compose innovative interaction techniques and open on new research domains.
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Submitted on : Friday, December 19, 2008 - 4:31:43 PM
Last modification on : Friday, October 23, 2020 - 4:52:03 PM
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  • HAL Id : dumas-00348623, version 1


Olivier Champalle. Mobile learning situé-application au dépannage (Thématique HelpMeToDo). Interface homme-machine [cs.HC]. 2007. ⟨dumas-00348623⟩



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