Corpus ID: 235446577

Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions

@article{Guerdan2021TowardAX,
  title={Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions},
  author={Luke M. Guerdan and Alex Raymond and H. Gunes},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.08761}
}
As machine learning approaches are increasingly used to augment human decision-making, eXplainable Artificial Intelligence (XAI) research has explored methods for communicating system behavior to humans. However, these approaches often fail to account for the emotional responses of humans as they interact with explanations. Facial affect analysis, which examines human facial expressions of emotions, is one promising lens for understanding how users engage with explanations. Therefore, in this… Expand

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