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Adaptive feedback for gesture guidance in informed virtual environments| old_uid | 14267 |
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| title | Adaptive feedback for gesture guidance in informed virtual environments |
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| start_date | 2017/09/04 |
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| schedule | 14h |
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| online | no |
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| summary | Adaptive feedback has been shown to improve interaction in virtual environments and to facilitate cognitive and motor learning. Recent studies proposed this type of feedback to guide users, to highlight specific areas in the virtual scene or to help them to perform a specific task. They can follow a path, pass through specific waypoints or even mimic an avatar. However these approaches do not show the gap between learners’ performance and the desired one. Our hypothesis is that by revealing this gap to the users, they will reduce it step by step and tend to the required performance. Thus, we propose visual adaptive metaphors to guide trainees’ gestures by showing specific tasks dependent errors instead of showing a path to follow. In a first study I will present an adaptive virtual environment for fluvial navigation with a decision model based on belief functions (these Loic Fricoteaux). To go further in the field of adaptive feedback, I will present two studies on the conce!
pt of gesture adaptive guidance based on a real time error estimation : the first study is a calligraphy application (these Rémy Frenoy), and the second study is an industrial application with a technical gesture training (these Florian Jeanne). Then I will conclude with an attention/ inattention model for augmented reality ADAS (advanced driving assistance system) in a driving application. |
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| responsibles | Fenouil |
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