Examining task engagement in sensor-based statistical models of human interruptibility

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 minimi...

• Type: Conference
• Year: 2005
• Where: CHI
• Authors: James Fogarty, Andrew Jensen Ko, Htet Htet Aung, Elspeth Golden, Karen P. Tang, Scott E. Hudson
• Keywords: CHI 2005, Human Computer Interaction, Sensor-based Interfaces, Sensor-based Statistical Models, Task Engagement