Skip to Main content Skip to Navigation
Conference papers

Trace-Based Decision Making in Interactive Application: Case of Tamagotchi systems

Abstract : — We present our exploratory work for situation preselecting in interactive applications, assuming that the application is an Interactive Adaptive System based on a sequence of contextualized "situations". Each situation confines activities and interactions related to a common context, resources and system actors. When one situation is completed, the system has to determine which is the best following one. We introduce in this paper a new preselecting method that identifies possible next situations among all available situations. We propose a strategy using Naïve Bayes based on the analysis of the sets of available traces (the past of users). Combining all obtained results, we get a set of situations, called set of alternatives that can be used in any decision algorithm. We demonstrate our approach on a case study based on Tamagotchi game.
Document type :
Conference papers
Complete list of metadata

Cited literature [20 references]  Display  Hide  Download
Contributor : Hoang-Nam Ho <>
Submitted on : Monday, December 1, 2014 - 11:04:28 AM
Last modification on : Thursday, October 8, 2020 - 11:50:06 AM
Long-term archiving on: : Friday, April 14, 2017 - 11:40:08 PM


Camera_ready_CoDIT 2014_Metz.p...
Files produced by the author(s)


Distributed under a Creative Commons Attribution - NoDerivatives 4.0 International License


  • HAL Id : hal-01088140, version 1


Hoang Nam Ho, Mourad Rabah, Samuel Nowakowski, Pascal Estraillier. Trace-Based Decision Making in Interactive Application: Case of Tamagotchi systems. IEEE International Conference on Control, Decision and Information Technologies, Nov 2014, Metz, France. pp.123-127. ⟨hal-01088140⟩



Record views


Files downloads