Abstract
User attention is a scarce resource, and users are susceptible to interruption overload. Systems do not reason about the effects of interrupting a user during a task sequence. In this study, we measure effects of interrupting a user at different moments within task execution in terms of task performance, emotional state, and social attribution. Task models were developed using event perception techniques, and the resulting models were used to identify interruption timings based on a user's predicted cognitive load. Our results show that different interruption moments have different impacts on user emotional state and positive social attribution, and suggest that a system could enable a user to maintain a high level of awareness while mitigating the disruptive effects of interruption. We discuss implications of these results for the design of an attention manager.
| Original language | English (US) |
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| Pages | 271-278 |
| Number of pages | 8 |
| State | Published - 2004 |
| Event | 2004 Conference on Human Factors in Computing Systems - Proceedings, CHI 2004 - Vienna, Austria Duration: Apr 24 2004 → Apr 29 2004 |
Other
| Other | 2004 Conference on Human Factors in Computing Systems - Proceedings, CHI 2004 |
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| Country/Territory | Austria |
| City | Vienna |
| Period | 4/24/04 → 4/29/04 |
Keywords
- Affective state
- Attention
- Interruption
- Task models
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design