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Intelligent agents are becoming ubiquitous in the lives of users, but the research community has only recently begun to study how people establish trust in and communicate with such agents. I plan to design an explanation-centric approach to support end users in personalizing their intelligent agents and in assessing their strengths and weaknesses. My goal is to define an approach that helps people understand when they can rely on their intelligent agents' decisions, and allows them to directlydoi:10.1145/2166966.2167052 dblp:conf/iui/Kulesza12 fatcat:zjgr2db6fbdwjitzounumh56ni