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Smarttention, please!: 2nd workshop on intelligent attention management on mobile devices

Published:06 September 2016Publication History

ABSTRACT

Today, many users of mobile devices are continuously confronted with a huge variety of information: notifications from Facebook, new application updates, won badges, or reminders. This leads to an information overload, which makes it hard to stay focused. This workshop will investigate approaches towards smart attention management systems. We will discuss the fundamental challenges of smart notifications and the design of proactive notification mechanisms. We invite submissions that focus on the understanding of users and their current, mobile information handling. We further appreciate contributions that propose design concepts for the interaction with smart attention management systems. The expected workshop outcome is a summary of emerging challenges in the design and development of smart attention management systems as well as approaches to address them.

References

  1. Xiang 'Anthony' Chen, Tovi Grossman, Daniel J. Wigdor, and George Fitzmaurice. 2014. Duet: Exploring Joint Interactions on a Smart Phone and a Smart Watch (CHI '14). ACM.Google ScholarGoogle Scholar
  2. Joel E. Fischer, Chris Greenhalgh, and Steve Benford. 2011. Investigating Episodes of Mobile Phone Activity As Indicators of Opportune Moments to Deliver Notifications (MobileHCI '11). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Joel E. Fischer, Nick Yee, Victoria Bellotti, Nathan Good, Steve Benford, and Chris Greenhalgh. 2010. Effects of Content and Time of Delivery on Receptivity to Mobile Interruptions (MobileHCI '10). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Fabian Göbel, Ioannis Giannopoulos, and Martin Raubal. 2016. The Importance of Visual Attention for Adaptive Interfaces. In Smarttention.Google ScholarGoogle Scholar
  5. Frederic Kerber, Christoph Hirtz, Sven Gehring, Markus Löchtefeld, and Antonio Krüger. 2016. Managing Smartwatch Notifications through Filtering and Ambient Illumination. In Smarttention. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Jemin Lee, Jinse Kwon, and Hyungshin Kim. 2016. Reducing Distraction of Smartwatch Users with Deep Learning. In Smarttention. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Luis Leiva, Matthias Böhmer, Sven Gehring, and Antonio Krüger. 2012. Back to the App: The Costs of Mobile Application Interruptions (MobileHCI '12). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Kent Lyons, David Nguyen, Daniel Ashbrook, and Sean White. 2012. Facet: A Multi-segment Wrist Worn System (UIST '12). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Veljko Pejovic and Mirco Musolesi. 2014. Anticipatory Mobile Computing for Behaviour Change Interventions (UbiComp '14 Adjunct). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Martin Pielot, Karen Church, and Rodrigo de Oliveira. 2014. An In-Situ Study of Mobile Phone Notifications (MobileHCI '14). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Martin Pielot and Luz Rello. 2015. The Do Not Disturb Challenge: A Day Without Notifications (CHI EA '15). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Benjamin Poppinga, Wilko Heuten, and Susanne Boll. 2014. Sensor-Based Identification of Opportune Moments for Triggering Notifications. IEEE Pervasive Computing (2014). Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Alireza Sahami Shirazi, Niels Henze, Tilman Dingler, Martin Pielot, Dominik Weber, and Albrecht Schmidt. 2014. Large-Scale Assessment of Mobile Notifications (CHI '14). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Stefan Schneegass and Rufat Rzayev. 2016. Embodied Notification: Using EMS to Notify Users. In Smarttention.Google ScholarGoogle Scholar
  15. Svenja Schröder, Jakob Hirschl, and Peter Reichl. 2016. CoConUT- Context Collection for Non-Stationary User Testing. In Smarttention.Google ScholarGoogle Scholar
  16. Alexandra Voit, Tonja Machulla, Dominik Weber, Valentin Schwind, Stefan Schneegass, and Niels Henze. 2016. Exploring Notifications in Smart Home Environments. In Smarttention. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Dominik Weber, Sven Mayer, Alexandra Voit, Rodrigo Ventura Fierro, and Niels Henze. 2016a. Design Guidelines for Notifications on Smart TVs (TVX '16). ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Dominik Weber, Alexandra Voit, Huy Viet Le, and Niels Henze. 2016b. Notification Dashboard: Enabling Reflection on Mobile Notifications. In Smarttention. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      MobileHCI '16: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct
      September 2016
      664 pages
      ISBN:9781450344135
      DOI:10.1145/2957265

      Copyright © 2016 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 6 September 2016

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      Overall Acceptance Rate202of906submissions,22%

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