Abstract
In this section, we will look at four different applications that leverage the ideas discussed in this book. In particular, all the systems discussed in this chapter will explicitly model the human’s mental model of the task and among other things use it to generate explanations. In particular, we will look at two broad application domains. One where the systems are designed for collaborative decision-making, i.e., systems designed to help user come up with decisions for a specific task and another system designed for helping users specify a declarative model of task (specifically in the context of dialogue planning for an enterprise chat agent).
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Sreedharan, S., Kulkarni, A., Kambhampati, S. (2022). Applications. In: Explainable Human-AI Interaction. Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer, Cham. https://doi.org/10.1007/978-3-031-03767-2_10
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DOI: https://doi.org/10.1007/978-3-031-03767-2_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-03757-3
Online ISBN: 978-3-031-03767-2
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