Smartphones, smartwatches, smart glasses, smart TVs and a number of other smart devices have put an abundance of online content and services into our fingertips. 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.

The goal of this workshop is to discuss how information overload through mobile notifications affect the users’ experiences, and how artificial intelligence, adaptive user interfaces or clever, multimodal interaction techniques can help users to focus on the most essential information. Further, we want to discuss meta-aspects of these smart attention management systems, for example, how they can be configured, trusted or how their dynamics can be communicated to the users. We welcome contributions for single- and multi-device environments.

This workshop is a full-day workshop, aiming to bring together people from industry and academia. Paper submissions should be made via email (see details below). A paper should have a length of 2 to 6 pages 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 given about 10 minutes for an oral presentation. In addition, there will be room for demonstrations and hands-on sessions.


Topics of Interest

The workshop invites diverse submissions that study the workshop topic from various perspectives. We welcome submissions which aim to understand users and attention-related aspects, e.g., when do users attend notifications, how do users set their ringer mode switch, or the costs of interruptions. Thereby, submissions could focus on the plain understanding of the matter or intend to contribute a first predicting model. Further, we appreciate any submissions, that propose or investigate design solutions, strategies or concepts how the above-mentioned problems can be addressed, e.g., a lock screen replacement or an anticipatory design concept.

Future smart attention management systems will likely come with a complex logic, e.g., a machine learning algorithm, which will dynamically modify information flows and user experiences. Thus, we also look forward to submissions that address and study any meta-aspects, e.g., how smart systems can be configured, how their state can be communicated to users, and to what extent users are able to trust such a smart system.

Given the increasing distribution and handling of notifications on external computers or companion devices, e.g., smartwatches, wearables and televisions, we explicitly invite research contributions that focus on attention management in multi-device environments. Contributions could, for example, study, how users distribute their notifications, or which multi-device interactions would enable more targeted interactions.

The following list gives an overview which topics are—among others—of relevance for the workshop.

  • Understanding mobile information needs, mobile notifications, mobile attention behaviour
  • Detection/prediction of availability and attention
  • Detection/prediction of information perception, information overload
  • Multimodal interaction with focus on attention optimization
  • Interaction across devices, multi-device interaction
  • Context-adaptive or context-aware user interfaces
  • Infrastructures, frameworks and tools for the development of smart attention systems


Accepted Papers

We are very proud to have received so many excellent submissions. Please find a list of all accepted papers below.

Workshop Summary



The workshop is a full-day workshop. The program looks as follows:


09:00 – 09:30 Interactive Welcome Session
09:30 – 10:30 Presentations and Discussions (4 x 15 minutes)

  • Managing Smartwatch Notifications through Filtering and Ambient Illumination
  • Reducing Distraction of Smartwatch Users with Deep Learning
  • Notification Dashboard: Enabling Reflection on Mobile Notifications
  • Exploring Notifications in Smart Home Environments
10:30 – 11:00 Coffee Break
11:00 – 11:45 Presentations and Discussions (3 x 15 minutes)

  • CoConUT- Context Collection for Non-Stationary User Testing
  • Embodied Notifications: Implicit Notifications through Electrical Muscle Stimulation
  • The Importance of Visual Attention for Adaptive Interfaces
11:45 – 12:00 Short Break / Demos
12:00 – 12:30 Identification of Emerging Challenges
12:30 – 14:00 Lunch Break
14:00 – 15:30 Discussions about Emerging Challenges
15:30 – 16:00 Coffee Break
16:00 – 17:00 Discussions about Action Points for Emerging Challenges
17:00 – 17:30 Wrap-up, Planning of Future Actions



  • Submission Deadline – June 13, 2016 (23:59 AoE)
  • Notification – June 18, 2016
  • MobileHCI Early Registration – June 26, 2016
  • Camera Ready – June 27, 2016
  • Workshop Date – September 6, 2016



Papers should have a length of 2 to 6 pages (including references) in the SIGCHI Extended Abstracts format. Submissions can be made by emailing a blinded PDF file to no later than the given submission deadline (June 13). Please include all authors and the corresponding affiliations in the submission email. Every paper will undergo a thorough review and feedback on your work will be provided mid of June.



Dominik Weber is a PhD student in the Socio-Cognitive Systems group at the University of Stuttgart. He is interested in the management of notifications in multi-device environments and “in the wild” studies.

Benjamin Poppinga is an independent researcher and entrepreneur. He is interested in mobile “in the wild” context sensing, attention and interruption management, and minimal attention user interfaces. He received a PhD in computer science from the University of Oldenburg in 2014.

Alireza Sahami Shirazi is a Research Scientist in Yahoo! Labs, Sunnyvale, USA. His research interest is at the crossroads of ubiquitous computing (Ubicomp) and human-computer interaction (HCI). His current research focuses at mobile devices usage to understand and model user behavior in context-aware advertising space.

Martin Pielot works as associate researcher at Telefonica I+D (Research) in Barcelona, Spain. In his current research, he explores topics around human attention, such as how the increased number of services that constantly request our attention affect our lives. The goal is to find out how to innovate these services to be less stressing & interrupting, and more enjoyable & connecting.

Sven Gehring is a researcher at the German Research Center for Artificial Intelligence (DFKI). His main research interests are ambient notification environments and mobile computing.

Tadashi Okoshi is assistant professor at the Keio University. His current research theme is human attention-aware computing.

Niels Henze is assistant professor for Socio-Cognitive Systems in the Institute for Visualization and Interactive Systems and the SimTech Cluster for Simulation Technology at the University of Stuttgart. He is interested in large-scale human subject studies, improvement of interactive systems through models of human behavior, and smart notification management.



If you have any questions, don’t hesitate to get in touch via email: You are also invited to join our Smarttention Facebook group.


Smarttention Facebook Group