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Interrupting users engaged in tasks typically has negative effects on their task completion time, error rate, and affective state. Empirical research has shown that these negative effects can be mitigated by deferring interruptions until more opportune moments in a user's task sequence. However, existing systems that reason about when to interrupt do not have access to task models that would allow for such finer-grained temporal reasoning. We outline our method of finding opportune moments thatdoi:10.1145/1122935.1122959 dblp:conf/tamodia/AdamczykIB05 fatcat:qw2yveg6czgu7asxkwuy2nkcum