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Executive coaching has been drawing more and more attention for developingcorporate managers. While conversing with managers, coach practitioners arealso required to understand internal states of coachees through objectiveobservations. In this paper, we present REsCUE, an automated system to aidcoach practitioners in detecting unconscious behaviors of their clients. Usingan unsupervised anomaly detection algorithm applied to multimodal behavior datasuch as the subject's posture and gaze, REsCUE notifies behavioral cues forcoaches via intuitive and interpretive feedback in real-time. Our evaluationwith actual coaching scenes confirms that REsCUE provides the informative cuesto understand internal states of coachees. Since REsCUE is based on theunsupervised method and does not assume any prior knowledge, furtherapplications beside executive coaching are conceivable using our framework.

REsCUE: A framework for REal-time feedback on behavioral CUEs using multimodal anomaly detection