Impact of Feedback Type on Explanatory Interactive Learning

  title={Impact of Feedback Type on Explanatory Interactive Learning},
  author={Misgina Tsighe Hagos and Kathleen Curran and Brian Mac Namee},
. Explanatory Interactive Learning (XIL) collects user feedback on visual model explanations to implement a Human-in-the-Loop (HITL) based interactive learning scenario. Different user feedback types will have different impacts on user experience and the cost associated with collecting feedback since different feedback types involve different levels of image annotation. Although XIL has been used to improve classification performance in multiple domains, the impact of different user feedback types on… 

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