2nd International Workshop on Smart & Ambient Notification and Attention Management

September 11 or 12, 2017 in Maui, Hawaii, USA
in conjunction with ACM UbiComp/ISWC 2017

https://projects.hcilab.org/ubittention2017/

June 9, 2017 (Submission deadline)
June 30, 2017 (Notification deadline)
July 7, 2017 (Camera-ready deadline)

Workshop Theme and Goals

In the advancing ubiquitous computing, users are increasingly confronted with a tremendous amount of information proactively provided via notifications from versatile applications and services, through multiple devices and screens in their environment. Thus, our human’s attention have been getting a new significant bottleneck. Further, the latest computing trends with emerging new devices including versatile IoT devices, and contexts, such as smart cities, smart mobility including vehicles, are even accelerating this situation. In such situations, “attention management”, including attention representation, sensing, prediction, analysis and adaptive behavior in the computer systems, are obviously needed in our computing system. Following last year’s successful UbiTtention’16 workshop, the UbiTtention 2017 workshop brings together researchers and practitioners from academia and industry to explore the management of human attention and smart and ambient notifications with versatile devices and situations in order to overcome information overload and overchoice. In this workshop, we want to focus on a larger understanding of the different roles notifications can play in a wide variety of computing environments including the office, the home, in cars, and other smart environments.

The topics of interest include -but are not limited- to the following:

  • Detection/prediction of users’ status around attention and notifications, such as availability, interruptibility, attentional status and cognitive load for interruption
  • Exchanging, sharing, analysis and feedback on such capability above (beyond detection and prediction)
  • Versatile types of information presentation methodologies including ambient, peripheral, distributed and multi-modal presentation
  • Infrastructures, frameworks and tools for the development of smart attention systems
  • Strategies for attention management against emerging computing with IoT devices
  • Understanding users’ behavior and habits around notifications and interruption, including longer term user engagement and behavior change
  • Use of ambient representations for big-data analysis
  • Management of information overload in various emerging computing venues such as smart city and smart mobility

Submission details

A paper should have a length of maximum 6 pages (including references) in the SIGCHI Extended Abstracts format and will be reviewed by at least two workshop organizers. Successful submissions will have the potential to raise discussion, provide insights for other attendees, and illustrate open challenges and potential solutions. All accepted publications will be published on the workshop website and in the ACM Digital Library. At least one author of each accepted paper needs to register for the conference and the workshop itself. During the workshop, each paper will be presented briefly by one of the authors. In addition, there will be room for demonstrations as well as discussions. Submissions or any questions should be mailed to ubittention-org@ht.sfc.keio.ac.jp. More details can be found on the workshop website: https://projects.hcilab.org/ubittention2017/

Important Dates

Submission deadline: June 9, 2017
Notification deadline: June 30, 2017
Camera-ready deadline: July 7, 2017
Workshop date: September 11 or 12, 2017

Organizing Committee

Tadashi Okoshi, Keio University
Anja Exler, Karlsruhe Institute of Technology
Alexandra Voit, University of Stuttgart
Dominik Weber, University of Stuttgart
Martin Pielot, Telefonica Research
Benjamin Poppinga, Smarttention Systems
Niels Henze, University of Stuttgart
Sven Gehring, DFKI
Matthias Böhmer, TH Köln
SeungJun Kim, Carnegie Mellon University
Veljko Pejovic, University of Ljubljana

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