Workshop Theme and Goals

Users of digital devices are increasingly confronted with a tremendous amount of notifications that appear on multiple devices and screens in their environment. If a user owns a smartphone, a tablet, a smartwatch and a laptop and an email-client is installed on all of these devices an incoming email produces up to four notifications — one on each device. In the future we will receive notifications from all our ubiquitous devices. Therefore, we need an smart attention management for incoming notifications. One way for a less interrupting attention management could be the use of ambient representations of incoming notifications.

Following the successful UbiTtention 2016, 2017 and 2018 workshops, the UbiTtention 2019 workshop brings together researchers and practitioners from academia and industry.

The goal of this workshop is to discuss how the problems of information overload and overchoice — in our opinion two of the most relevant problems in information technology for the next few decades — can be solved. In the era of the Internet of Things (IoT) we have to handle incoming notifications from all our devices. Together with developments in smart city environments or with smart mobility the information overload will grow. 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.

UbiTtention Logo

Topics of the workshop include, but are not limited to:

  • Understanding behavior and habits around notifications
  • Detection/prediction of availability, attention, and opportune moments for interruptions
  • Ambient, peripheral, distributed and multimodal presentation of information or augmentation
  • Timing of pro-active recommendations and user engagements
  • Infrastructures, frameworks and tools for the development of smart attention systems
  • Strategies for attention management from notifications of IoT devices
  • Understanding users' behavior and habits around notifications and interruptions, including longer term user engagement and behavior change
  • Use of ambient representations for big data analysis
  • Management of information overload in smart city environments and cyber physical systems or smart mobility and vehicle environments
  • Notifications in virtual reality (VR) and augmented reality (AR)
  • Supporting the digital wellbeing of users


Modeling Human Behavior through Mobile Sensing

Smartphones have graduated over a period of time from merely calling instruments to smart and highly personal devices. Besides being technically advanced and pervasive, these devices have a plethora of embedded sensing capabilities that enables us to passively log users' context and collect such data at an unprecedented scale. In this talk I will be discussing the understanding and modeling of human behavior through mobile sensing and machine learning. More specifically, I will focus on modeling users' interaction with mobile devices, and anticipatory monitoring of health and well-being.

Abhinav Mehrotra
Abhinav Mehrotra

Abhinav Mehrotra is a Machine Learning Research Engineer at Samsung AI Center, Cambridge. His main areas of interest include context-aware computing and AI systems. Before joining Samsung, he was a postdoctoral researcher at University College London. Abhinav Mehrotra received a PhD in Computer Science from University of Birmingham, during which he spent an year at Alan Turning Institute (UK's data science institute).

Accepted Papers

We are very proud to have received so many excellent submissions. Please find a list of all 5 accepted papers below.

Workshop Summary

Workshop Program

September 10, 2019

08:30 am Registration opens
09:30 am - 09:40 am Introductions
09:40 am - 10:30 am Keynote
10:30 am - 11:00 am Coffee break
11:00 am - 12:30 pm Presentation session
12:30 pm - 02:00 pm Lunch break
02:00 pm - 03:30 pm Break-out discussions
03:30 pm - 04:00 pm Coffee break
04:00 pm - 05:00 pm Discussion of group findings
05:00 pm - 05:30 pm Wrap-up & planning of future actions
06:30 pm - 08:00 pm Workshop dinner

Important Dates

Submission Deadline (extended) June 28, 2019 (23:59 AoE)
Notification of Acceptance July 5, 2019
Camera Ready July 12, 2019 (template info)
UbiComp/ISWC Early Registration (extended) August 9, 2019 (registration / rates)
Workshop Date (Full-Day) September 10, 2019

Submission Details

A paper should be anonymized and should have a length of 2 to 8 pages (excluding references) in the new single-column SIGCHI Extended Abstracts format and will be reviewed by at least two workshop organisers. 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 time for an oral presentation. In addition, there will be room for demonstrations and hands-on sessions.

Submission System

Template Update (June 17): The required template was changed on short notice. For your initial submission you can submit in the SIGCHI extended abstract format (landscape, single column) with a page limit of 8 pages excluding references. You might already submit in the SIGCHI format (portrait, double column) with 2 to 6 pages including references. In case of acceptance, you would have to submit your camera-ready paper using the SIGCHI format. All template information can be found here. If you have any questions about the submission, feel free to send us an email to

Organising Committee

Anja Exler Anja Exler
Karlsruhe Institute of Technology

Alexandra Voit Alexandra Voit
University of Stuttgart

Dominik Weber Dominik Weber
University of Stuttgart

Martin Pielot Martin Pielot
Telefonica Research

Nitesh Goyal Nitesh Goyal
Jigsaw, Google

Sven Gehring Sven Gehring
German University of Applied Sciences for Health Management

Tadashi Okoshi Tadashi Okoshi
Keio University

Veljko Pejovic Veljko Pejovic
University of Ljubljana


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