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Title:Effects of Intelligent Notification Scheduling
Author(s):Iqbal, Shamsi T.; Bailey, Brian P.
computer science
Abstract:This work reports results from two studies investigating intelligent notification scheduling. The first study tested the performance of composite statistical models for detecting and differentiating three granularities (types) of breakpoints within novel task sequences. Results showed that the models detect breakpoints reasonably well, but do not perform as expected for differentiating their type. Our second study investigated how scheduling notifications at different types of breakpoints affects users and their tasks. Results showed that scheduling notifications to occur at breakpoints reduces frustration and reaction time relative to delivering them immediately. We also found that the content of a notification determines the type of breakpoint at which it should be scheduled. The overall concept of scheduling notifications at breakpoints matched well with how users preferred notifications to be managed. This indicates that users would be willing to adopt the use of notification scheduling systems in practice.
Issue Date:2007-09
Genre:Technical Report
Other Identifier(s):UIUCDCS-R-2007-2900
Rights Information:You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
Date Available in IDEALS:2009-04-22

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