Lucy Van Kleunen

Picture of Lucy at the top of the Space Needle

I’m a PhD student in Computer Science at the University of Colorado, Boulder. My research interests are human-computer interaction and ubiquitous computing. I’m currently working with the Too Much Information Lab.

Recent Happenings

09.2019 - Attending UbiComp 2019 in London! Presenting a poster and participating in the 4th International Workshop on Mental Health and Well-being: Sensing and Intervention

Conference Papers

Wallace S., Van Kleunen L., Aubin-Le Quere M., Peterkin A., Huang Y., and Huang J. 2017. Drafty: Enlisting Users to Be Editors Who Maintain Structured Data. In proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing - HCOMP 2017, Quebec City, Canada, October 2017

Van Kleunen L., Green T., Chao M., Citra T., Niguidula C. (2017) Design Considerations for a Large Display Touch Application in Informal Education. In: Hammond T., Adler A., Prasad M. (eds) Frontiers in Pen and Touch. Human-Computer Interaction Series. Springer, Cham


Lucy Van Kleunen, Joel Holton, Daniel Strawn, and Stephen Voida. 2019. Poster: Designing Navigation Aides for Wildland Firefighters. In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2019 International Symposium on Wearable Computers (UbiComp/ISWC ’19 Adjunct), September 9–13, 2019, London, United Kingdom. ACM, New York, NY, USA, 4 pages.

Workshop Papers

Lucy Van Kleunen and Stephen Voida. 2019. Challenges in Supporting Social Practices Around Personal Data for Long-Term Mental Health Management. 4th International Workshop on Mental Health and Well-being: Sensing and Intervention. UbiComp 2019.

Lucy Van Kleunen and Stephen Voida. From personal to collective informatics. CSCW 2018 Workshop on Social Issues in Personal Informatics.

Other Stuff

Lucy Van Kleunen and Stephen Voida. Controlling Disclosure of Personal Health Data - Features that improve how patients with chronic disease manage access to personal health data from self-tracking applications. Shorenstein Center Privacy Forecast 2019.