MuM'23 Workshop on Interruptions and Attention Management
Authors: 
Alexander Lingler, 
Dinara Talypova, 
Fiona Draxler, 
Christina Schneegass, 
Tilman Dingler, Philipp WintersbergerAuthors Info & Claims
Pages 548 - 551
Abstract
Attention management systems seek to minimize disruption by intelligently timing interruptions and helping users navigate multiple tasks and activities. While there is a solid theoretical basis and rich history in HCI research for attention management, little progress has been made regarding their practical implementation and deployment. Building sophisticated attention management systems requires a great variety of sensors, task- and user models, and multiple devices while considering the complexity of user context and human behavior. Novel AI technologies, such as generative systems, reinforcement learning, and large language models, open new possibilities to create intelligent, practical, and user-centered attention management systems. This proposed workshop aims to bring together researchers and practitioners from diverse backgrounds to discuss and formulate a research agenda to advance attention management systems using novel AI tools to manage and mitigate interruptions from computing systems effectively.
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December 2023
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Published: 03 December 2023
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- Austrian Science Fund (FWF)
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MUM '23
MUM '23: International Conference on Mobile and Ubiquitous Multimedia
December 3 - 6, 2023
Vienna, Austria
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