2nd Workshop on LifeLong User Modelling in conjunction with UMAP, June, 2013, Rom, Italy
Nowadays, we are surrounded by technology that assists us in our everyday life. We use GPS devices to navigate from A to B, we use all kind of sensors to track our sport activities, we query the WWW for information while on the go and we use all kinds of devices and software to communicate with our friends and family to share opinions, pictures, etc. With today’s technology, we have the capability to automatically record at large-scale the places that we have been to, things we have seen, people we communicate with and how active we are – we’re already creating a lifelog.
This creation of lifelogs offers new possibilities for personalization but the resulting data volume raises new challenges. Analyzing this large data corpus will enable us to better understand ourselves: What are my habits and interests? Or, even more specific: Do I live a healthy life? Answering these questions can lead to a more conscious lifestyle. One big challenge is the creation and management of long term, even life long, user models that capture salient aspects about the user over very long periods of time, possibly spanning periods from early childhood to old age. Further, these models have to handle changing interests over time. Also, such lifelogging models have to be usable by different applications. Other challenges pertain processing big data and identifying user interests, skills etc. and their usage in real world systems like health or recommendation systems. Following the successful first Workshop on Lifelong User Modelling which was held in conjunction with UMAP 2009 (http://rp-www.cs.usyd.edu.au/~llum/2009_UMAP09_llum/), this workshop aims to engage researchers from both user modelling and lifelogging communities to discuss emerging research trends in this field.
The workshop aims at improving the exchange of ideas between the different research communities and practitioners involved in the research on user modeling and lifelogging. The workshop will focus on the following key questions:
- What lifelogging techniques exist that can benefit from long-term user modelling?
- How can user interfaces assist to explore lifelogs and/or the underlying user models?
- What personalisation techniques can be used in the context of lifelogging?
- How should privacy issues be addressed when it is possible to create detailed user models covering every aspect of one’s life?
- What are the particular representational requirements for life-long user modelling?
- What are the requirements for enabling a life-long user model to be useful for a range of applications?
- What happens to lifelogging data after your death?
- Which aspects need to be part of the foundation design of technical solutions that will ensure the user’s privacy over their life-long user model?
- How will we ensure users can control and share their life-long user model effectively?
- What are the relevant existing standards that should be part of life-long user modelling and where is there a need for additional standards?
Speaker: Dr. Cathal Gurrin, Dublin City University, IE
Title (tentative): Experience of a Lifelogger: Tasks and Challenges
Cathal Gurrin is lecturer at the School of Computing, at Dublin City University, a visiting researcher at the University of Tromso, the director of the Human Media Archives research group as well as being a collaborating investigator in the CLARITY Centre for Sensor Web Technologies. His research interest is in information retrieval (IR), though he has a particular interest in how people access information from mobile devices (MHCIR). He has an ongoing interest in Human Digital Memories and gathered a digital memory since 2006 (incl. over 9 million Sensecam images, GPS records and a multitude of other sensor data). In this keynote, he will introduce his research on lifelogging and discuss his experiences as a long time lifelogger.
Further information can be found on his website.
|09:00||09:30||Welcome and WS Introduction|
|09:30||10:30||Keynote: Experience of a Lifelogger: Tasks and Challenges (Dr. Cathal Gurrin, Dublin City University)|
|11:00||11:30||J. Iyilade and J. Vassileva. A Decentralized Architecture for Sharing and Reusing Life-Logs|
|11:30||12:00||M. Sajgalic et al. Efficient Representation of the Lifelong Web Browsing User Characteristics|
|12:00||12:30||L. M. Tang and J. Kay. Lifelong User Modeling and Meta-cognitive Scaffolding: Support Self Monitoring of Long-Term Goals|
The proceedings are available online at CEUR-WS.org.
- Frank Hopfgartner, TU Berlin, Germany
- Judy Kay, University of Sydney, Australia
- Bob Kummerfeld, University of Sydney, Australia
- Till Plumbaum, TU Berlin, Germany
- Rami Albatal, Dublin City University, Ireland
- Susan Bull, University of Birmingham, UK
- Federica Cena, Universita’ degli Studi di Torino, Italy
- Anthony Jameson, DFKI, Germany
- Chad Lane, University of Southern California, USA
- Hyowon Lee, MIT, USA
- Na Li, Dublin City University, Ireland
- Pasquale Lops, University of Bari, Italy
- Gord McCalla, University of Saskatchewan, Canada
- Cecile Paris, CSIRO, Australia
- Alan Said, TU Berlin, Germany