The Opportunities and Limitations of Scaling Up Sensor-Free Affect Detection
نویسندگان
چکیده
We develop and analyze affect detectors for four affective states: confidence, excitement, frustration and interest. We utilize easy to implement self-report based “ground truth” measurements of affect within a tutor, and model them as continuous variables that are later discretized into positive, neutral, and negative valence classifications; this distinguishes our work from detectors which model affective states as binary. We explore the opportunities and limitations of cross validation with regard to potentially distinct sample groups.
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