Pierre Chalfoun

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In this paper, we discuss the use of physiological data for quasi real-time adaptation in ITS. We present preliminary results where we analyze learners' reactions while using a game-like virtual learning environment. We also discuss the relevance of adding cerebral data to adaptation by the means of an electroencephalogram.
This paper presents results from an empirical study conducted with a subliminal teaching technique aimed at enhancing learner's performance in Intelligent Systems through the use of physiological sensors. This technique uses carefully designed subliminal cues (positive) and miscues (negative) and projects them under the learner's perceptual visual(More)
This paper presents results from an empirical study conducted with a novel subliminal teaching technique aimed at enhancing learners performance in an ITS. We replicated previous findings with the same technique but in a 2D environment. Non intrusive physiological sensors were used to record affective and cerebral responses. A brain analysis technique(More)
This study investigates Serious Games (SG) to assess motivational factors appropriate to an Intelligent Tutoring System (ITS). An ITS can benefit from SG' elements that can highly support learners' motivation. Thus, identifying and assessing the effect that these factors may have on learners is a crucial step before attempting to integrate them into an ITS.(More)
In this paper we take a closer and in-depth look at initial results obtained from a previous novel experiment conducted with a 3D subliminal teaching Intelligent Tutoring System. Subliminal priming is a technique used to project information to a learner outside of his perceptual field. Initial results showed great promise by illustrating the positive impact(More)
Current Intelligent Tutoring Systems (ITS) employ explicit and direct learning strategies when interacting with learners. Although these ITS use cog-nitive and logical models to analyze the conscious cognitive processes behind reasoning, we believe that in specific situations during knowledge acquisition, such as reasoning, unconscious cognitive processes(More)
Nowadays several researches in Intelligent Tutoring Systems are oriented toward developing emotionally sensitive tutors. These tutors use different instructional strategies addressing both learners' cognitive and affective dimensions and rely, for most of them, on explicit strategies and direct interventions. In this paper we propose a new approach to(More)
To cope with the rising volume of information in humancomputer interfaces, explicit and attentive interaction is more and more frequently replaced by implicit means of information exchange, supported by context-and activity-aware systems and applications. The trend of excessive information is, however, still ongoing, calling for further solutions to reduce(More)
This study investigated learners' attention during interaction with a serious game. We used Keller's ARCS theoretical model and physiological sensors (heart rate, skin conductance, and electroencephalogram) to record learners' reactions throughout the game. This paper focused on assessing learners' attention in situations relevant to learning, namely(More)