Title
Examining task engagement in sensor-based statistical models of human interruptibility
Abstract
The computer and communication systems that office workers currently use tend to interrupt at inappropriate times or unduly demand attention because they have no way to determine when an interruption is appropriate. Sensor?based statistical models of human interruptibility offer a potential solution to this problem. Prior work to examine such models has primarily reported results related to social engagement, but it seems that task engagement is also important. Using an approach developed in our prior work on sensor?based statistical models of human interruptibility, we examine task engagement by studying programmers working on a realistic programming task. After examining many potential sensors, we implement a system to log low?level input events in a development environment. We then automatically extract features from these low?level event logs and build a statistical model of interruptibility. By correctly identifying situations in which programmers are non?interruptible and minimizing cases where the model incorrectly estimates that a programmer is non?interruptible, we can support a reduction in costly interruptions while still allowing systems to convey notifications in a timely manner.
Year
DOI
Venue
2005
10.1145/1054972.1055018
CHI
Keywords
Field
DocType
social engagement,examining task engagement,human interruptibility,task engagement,realistic programming task,level input event,statistical model,sensor-based statistical model,human interruptibility offer,potential solution,potential sensor,level event log,machine learning,communication system,development environment
Interrupt,Programmer,Computer science,Development environment,Human–computer interaction,Computer-mediated communication,Statistical model,Social engagement
Conference
ISBN
Citations 
PageRank 
1-58113-998-5
52
4.20
References 
Authors
19
6
Name
Order
Citations
PageRank
James Fogarty12343164.17
Andrew J. Ko22253141.88
Htet Htet Aung373338.45
Elspeth Golden4928.36
Karen P. Tang523218.44
Scott Hudson66564910.06