Personal informatics is a class of systems that help people understand their behaviors, habits, and thoughts. Developing such systems poses new challenges in human-computer interaction and creates opportunities for collaboration between diverse disciplines, including design, ubiquitous computing, persuasive technology and information visualization. This workshop will continue the conversation from the CHI 2010 workshop and extend the discussion of personal informatics to include behavioral theories that can guide the development of such systems, as well as the social implications of self-tracking.
The workshop will be organized in three major areas:
- Challenges in developing personal informatics systems.
- Behavioral theories to guide the development of personal informatics systems, such as self-regulation and goal setting.
- Social implications of self-tracking.
We invite technologists, designers, and behavioral scientists working on topics related to personal informatics. Submit a position paper (2 to 4 pages) in the ACM Extended Abstracts format about your ongoing work, recent results, study methods, or perspectives on personal informatics. Papers will be peer-reviewed and 15-20 will be selected by relevance and likelihood of stimulating and contributing to this discussion. Email your paper in PDF format to [email protected] with subject "CHI 2011 Workshop Submission" by February 11, 2011.
Note: At least one author of each accepted paper must register for the workshop and for one or more days of the CHI conference.
Topics of Interest
- New and current personal informatics applications and systems on the desktop and online
- Sensor and life-logging technologies that monitor various personal behavioral information
- Effective feedback techniques, such as visualizations, virtual agents, and persuasive technologies, that help users become more aware of their own behaviors
- Interaction techniques that alleviate the burden that personal informatics impose on engagement
- Effects of self-knowledge and self-awareness on behaviors and daily life
- Methods of conducting long-term studies to determine effects of information on user behavior