What should be in an XAI explanation? What IFT reveals

Jonathan Dodge, Sean Penney, Andrew Anderson, Margaret Burnett

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations


This workshop's call for participation poses the question: What should be in an explanation? One route toward answering this question is to turn to theories of how humans try to obtain information they seek. Information Foraging Theory (IFT) is one such theory. In this paper, we present lessons we have learned about how IFT informs Explainable Artificial Intelligence (XAI), and also what XAI contributes back to IFT.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
StatePublished - 2018
Event2018 Joint ACM IUI Workshops, ACMIUI-WS 2018 - Tokyo, Japan
Duration: Mar 11 2018 → …

All Science Journal Classification (ASJC) codes

  • General Computer Science


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