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10/12/2018

ComTec at UbiComp: "A Survey of Attention Management Systems in Ubiquitous Computing Environments"

Christoph Anderson at the UbiComp
Christoph Anderson at the UbiComp
Christoph Anderson during his presentation
Christoph Anderson during his presentation

From October 8-12, 2018, UbiComp 2018 took place in Singapore. This renowned conference is one of the leading conferences in the field of interdisciplinary research and all aspects of ubiquitous and ubiquitous computing. At the main conference, the Department of Communication Technology was able to present the results in the field of automated attention management. In his talk, Christoph Anderson summarized the current research in this area and gave further insights for future research activities.

C. Anderson, I. Hübener, A.-K. Seipp, S. Ohly, K. David, and V. Pejovic, "A Survey of Attention Management Systems in Ubiquitous Computing Environments," Proceedings of the ACM on Interactive, Mobile, Wearable Ubiquitous Technology, vol. 2, no. 2, pp. 1-27, Jun. 2018.

Abstract:

Today's information and communication devices provide always-on connectivity, instant access to an endless repository of information, and represent the most direct point of contact to almost any person in the world. Despite these advantages, devices such as smartphones or personal computers lead to the phenomenon of attention fragmentation, continuously interrupting individuals' activities and tasks with notifications. Attention management systems aim to provide active support in such scenarios, managing interruptions, for example, by postponing notifications to opportune moments for information delivery. In this article, we review attention management system research with a particular focus on ubiquitous computing environments. We first examine cognitive theories of attention and extract guidelines for practical attention management systems. Mathematical models of human attention are at the core of these systems, and in this article, we review sensing and machine learning techniques that make such models possible. We then discuss design challenges towards the implementation of such systems, and finally, we investigate future directions in this area, paving the way for new approaches and systems supporting users in their attention management.