Part of DIS 2018, Hong Kong, 9-13 June 2018

Workshop date: 10th June

Call for Participation

Are you interested in how to use complex data, particularly from Internet of Things (IoT), to inform a design process? Do you want to help to understand how we can design for more effective interactions between humans and data within IoT technologies? If so, please come to our workshop at DIS 2018 where we will explore these issues, using a hands on and creative approach.

We aim to bring together an international group of around 24 participants to undertake a design challenge using data sets and to prompt reflections on how to better support co-design with complex data for new Internet of Things technologies. Activities will include ideating from data, designing around data and prototyping.

If you are interested in contributing datasets or design challenges to be used during the day, please contact the organisers. Whilst not necessary for attendance, we welcome for this workshop the submission of position papers (2-5 pages) which will be presented in the workshop as posters. PDF submissions should be between 2-5 pages according to SIGCHI Conference Extended Abstracts Format ( Submit by email to Annika.wolff at

To register for this workshop, please go here  and register for both the workshop and for at least one day of the DIS 2018 conference. Then send a copy of your registration confirmation email to Annika.wolff at for registration to this specific workshop.

Special Issue

We are seeking contributions for our special issue within the International Journal of Human-Computer Studies on Designing Human Interactions for Cyber-Physical Systems and the Internet of Things. Deadline for submission is June 15th 2018.

Accepted position papers will also be invited to improve and extend their work for submission to this special issue, subject to standard peer review. Authors will receive feedback on their position papers that may help them improve.

Important Dates

  • Submission of position papers/datasets/design challenges: 15th May
  • Acceptance of position papers: 18th May


In designing new Internet of Things (IoT) technologies, it is necessary to understand how people interact with (collect, disseminate, manipulate, question) complex data. Data bridges the digital and physical world to provide insight to humans. These insights are useful both during the design process itself and later, to provide intelligence to users through IoT products and services.

Supporting the use of complex data, especially within a co-design process, is challenging, since traditional methods to support co-design have not been developed with such scenarios in mind, for example how to engage people in working collaboratively across the human/digital/physical divides.

Challenges exist both in understanding the privacy and security concerns that can arise from the use of personal or otherwise personally identifiable data, as well as understanding how to design for better interactions between humans and data.

This includes developing innovative methods for interacting with and creating dialogues with networked data from physical objects such as cars, or even plants and animals, as well as supporting better design of interfaces through which humans interact with data – for example, through which they are presented insights based on complex data analyses, or through which they are asked to contribute or give permission to use data.


9.00 Welcome and brief introductions from all

9.30 Defining the challenges and design processes.

10.00 Group work on Challenge 1 – introduction to data, design, protoyping, capturing reflections.

13.00 Group work on Challenge 2 – introduction to data, design, protoyping, capturing reflections.

16.00 Identifying differences in challenges

16.30 Presentation and consolidation of findings

17.00 Creating a roadmap and next steps

17:30 Close (welcome reception at 6PM)


Annika Wolff (Annika.wolff at is the main contact person for the workshop. She is an active researcher in the newly emerging field of human-data interaction, at the intersection between complex data, machine and human learning. Her research focuses on how people develop expertise to make sense of, interact with, co-design around and learn from complex data. Such data literacy skills are important in an increasingly data-driven society. She uses both tangible and screen-based approaches to engaging people collecting, interacting with and comprehending large datasets. She has led work in developing and piloting new methods for teaching data literacy skills in UK primary and secondary schools and in understanding how open data can be utilized in education. She worked for many years as a Research Fellow at the Open University, UK and has recently taken up a new postdoctoral position at Lappeenranta University of Technology where she is co-managing the CODER lab with Prof. Ahmed Seffah.

Prof. Seffah has organized more than 20 workshops including at ACM CHI-2006. He is founder of the DISE Workshop series on design and innovation in software engineering (IEEE-ICSE conference). He has been a distinguished visiting scholar at IBM Almaden. Currently he is the team leader of the HCI/Human Side of Cyber Physical Systems, a full professor of HCI at Lappeenranta University of Technology.

Prof. Gerd Kortuem is Professor of Internet of Things at the Design Engineering department at Delft University of Technology and principle investigator at the Amsterdam Institute for Advanced Metropolitan Solutions.  His research focuses on the Internet of Things as new material for design and explores the design of connected products and services for a sustainable future. In 2002 he completed his PhD in the field of wearable computing and has since then investigated technologies for smart workplaces, public transport, urban energy with companies such as BP, BT, E.On, Tech Mahindra and Alliander.

Prof. Janet van der Linden is professor in Interaction Design at the Open University’s School of Computing and Communications. Her work focuses on how to bring together tangible, technological and social aspects of designs and supporting people in making sense of their own data. She has worked with a wide range of complex data, from smart city data and energy consumption, to data about embodied forms of interacting – where it is key to help people understand their own data, and to use data participatory approaches to support the development of new domestic routines. Her work takes an in-the-wild approach, with ethnographically inspired research methods and is internationally recognised for its innovation with special awards at ACM conferences CHI (2014), Ubicomp (2011, 2012, 2014) and Creativity and Cognition (2015).