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AffectME: Affective Multimodal Engagement
The goal of this project is to contribute to the development of technologies that improve the sense of engagement or immersion of its users (positive usability) by taking into account their affective states. The proposal focuses on body posture as an indicator of human affective states. A comprehensive framework for the study of affective postural displays is outlined that relies on a computationally-tractable characterization of emotion in terms of the intensities of its autonomic response, its communicative intent, and the influence of cultural factors. With the aim to address the current lack of affective posture data in a context, we propose a model-driven and quantitative approach for the acquisition of posture data in three case-studies that maximize the information that can be obtained in terms of understanding (a) how context affects postural affective displays and (b) what are the parameters that technology can control. Case studies driving this research are: Posture as an indicator of pain in a clinical context and Posture as an indicator of immersion in a gaming scenario.
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