Abstract
Our research group is in the midst of working with teachers to co-design an affective computing system that uses physiological measures, gathered via wrist worn sensors, to understand how students are engaging with classroom instruction. Optimally, our goal is to find new ways of supporting empathetic practices in the classroom by providing teachers real-time (or reflective) feedback on student engagement. In parallel, with our work with teachers, we are working to pinpoint the privacy and trust issues that might be associated with this type of system. The objective of this paper is to present the results of a series of studies conducted to understand the challenges associated with introducing a pervasive affective computing system into classroom environments. While we focus on physiological sensors, the implications apply to other pervasive technologies as well.
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Daily, S.B., Meyers, D., Darnell, S., Roy, T., James, M.T. (2013). Understanding Privacy and Trust Issues in a Classroom Affective Computing System Deployment. In: Streitz, N., Stephanidis, C. (eds) Distributed, Ambient, and Pervasive Interactions. DAPI 2013. Lecture Notes in Computer Science, vol 8028. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39351-8_45
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