7 May 2016 16 May 2016: Workshop papers submission
1 June 2016: Notification of acceptance
7 June 2016: Camera-ready version due
7 June 2016: Early registration deadline and author registration for extended proceedings
Please submit to: https://easychair.org/conferences/?conf=futurepd2016
Quantified Self (QS), which is also known as Personal Informatics (PI), aims to use technology to collect personal data on different aspects of people’s daily lives. QS tools are more and more allowing people to self-track a variety of information related to their behaviors (sleep, food), activities (walking, run), psychological states (mood, stress), physiological parameters (heart rate, blood sugar level), etc.
As the current availability on the market of wearables and mobile applications for self-tracking is making it plausible that QS technologies will become pervasive in the near future, we have to start to explore how to employ personal data effectively for a broad user base.
In this workshop we want to investigate the opportunities offered by this renewed availability of personal data for improving the personalization of services and applications in different domains: for example for behavior change purposes by modifying unhealthy habits with targeted interventions; for designing personalized health services and supporting the self-management of health; for helping people remember their past, by enriching the retrieval process of personal memories with contextual information, transparently collected and presented in a personalized way; or for improving their learning processes, where personal data provide a potentially motivating context for e.g. mathematics and personal development and health studies.
In this workshop we want to explore a variety of challenges and explore different opportunities:
i) how can we model users’ habits and everyday activities through user modeling techniques based on “real-world” user’s data (related to e.g. user’s cognition, behavior, habits, physiology)?
ii) how can we convey new forms of recommendations and personalized feedback, goals, plans based on these data?
iii) which kind of personalized services and applications can be improved by this renewed availability of personal data in different domains?
iv) how can we define new personalized ways to present the data collected, in order to make them simple to understand and improve the meaningfulness of the interfaces and visualizations provided?
v) how can we face ethical and theoretical issues, e.g. to the user’s privacy and the possibility of storing all her experiences?
To summarize, we want to provide a multidisciplinary space to envision how the availability of “real-world” personal data (related to e.g. user’s cognition, behavior, habits, physiology) could in the future enable new complex forms of personalization and user modeling and how these could improve people’s life in different domains. We also want to investigate. While exploring the design space of these personalized services we want also to investigate what kind of theoretical and ethical issues they may arise.
Relevant workshop topics
They include but are not limited to:
i) New techniques for collecting data and engaging people in tracking them;
ii) Reflections on how “real-world” personal data could enable new complex forms of personalization;
iii) New ways to model users on the basis of real-world data;
iv) Wearables’ data for personalization and user modeling;
v) New services and applications for making personal data actionable, in order e.g. to trigger behavior change processes, provide health personalized services, enrich the recollection of memories, and support processes of learning;
vi) New personalized interaction modalities and visualizations to manipulate personal information;
vii) New techniques for interconnect, analyze and model personal data
viii) Theoretical reflections and thought-provoking insights about the future of personalization and modeling of human real-life behavior and how they could change our lives;
ix) Ethical issues related to the future pervasiveness of QS technologies and availability of personal data.
The workshop will combine a brief presentation session and a longer design session, where participants will create future scenarios and fictional prototypes to reflect on QS personalized technologies.
All workshop papers must be 2-8 pages long in the 2015-2016 ACM SIG Proceedings template and submitted via easychair: https://easychair.org/conferences/?conf=futurepd2016
The deadline for submission is May 7, 2015.
Papers should be in pdf format and should not be anonymized.
We will accept both position papers and research papers, case studies, future research challenges and reflections.
All the accepted manuscripts will be included in the UMAP supplemental proceedings published with CEUR.
Best papers will be considered for submitting to a special issue on UMUAI.
Amon Rapp. University of Torino, Torino, Italy.
Federica Cena. University of Torino, Torino, Italy.
Judy Kay. University of Sydney, Australia.
Bob Kummerfeld. University of Sydney, Australia.
Frank Hopfgartner. University of Glasgow, UK.
Jakob Eg Larsen. Technical University of Denmark, Lyngby, Denmark.
Elise van den Hoven. University of Technology Sydney, Australia and Eindhoven University of Technology, the Netherlands.