任务(项目管理)
计算机科学
归属
感知
人机交互
国家(计算机科学)
认知
事件(粒子物理)
资源(消歧)
序列(生物学)
任务分析
认知心理学
心理学
社会心理学
工程类
计算机网络
物理
系统工程
算法
量子力学
神经科学
生物
遗传学
作者
Piotr D. Adamczyk,Brian P. Bailey
标识
DOI:10.1145/985692.985727
摘要
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.
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