Human-AI communication for human-human communication: Applying interpretable unsupervised anomaly detection to executive coaching

@article{Arakawa2022HumanAICF,
  title={Human-AI communication for human-human communication: Applying interpretable unsupervised anomaly detection to executive coaching},
  author={Riku Arakawa and Hiromu Yakura},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.10987}
}
In this paper, we discuss the potential of applying unsupervised anomaly detection in constructing AI-based interactive systems that deal with highly contextual situations, i.e., human-human communication, in collaboration with domain experts. We reached this approach of utilizing unsupervised anomaly detection through our experience of developing a computational support tool for executive coaching, which taught us the importance of providing interpretable results so that expert coaches can… 

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