Christian Holz

Ultra-small mobile devices that support spatial interaction

My research is based on the observation that the miniaturization of mobile devices has come to a halt, which is due to human factors and not hardware limitations, as controls need to be large enough for input. I believe that further miniaturization and thus true ubiquity of mobile devices requires a better understanding of human constraints. In my research, I investigate and leverage human mental models to create ultra-small touch devices. I also build systems that allow users to interact spatially in the empty space in front of them, the ground they stand on, and on their skin. My tools include the combination of software and hardware, prototyping, and depth cameras.

Internships and Visits

Professional activities

Full and short paper publications at CHI and UIST

  1. Holz, C., Grossman, T., Fitzmaurice, G. et al. 2012. Title to be determined. To appear in Proceedings of CHI '12, 10 pages.
    tbc project
  2. Richter, S., Holz, C. and Baudisch, P. 2012. Bootstrapper: Recognizing Tabletop Users by their Shoes. To appear in Proceedings of CHI '12, 4 pages (note).
    Bootstrapper project
  3. Gustafson, S., Holz, C. and Baudisch, P. 2011. Imaginary Phone: Learning Imaginary Interfaces by Transferring Spatial Memory from a Familiar Device. In Proceedings of UIST '11, 283–292.
    Imaginary Phone project
  4. Holz, C. and Wilson, A.D. 2011. Data Miming: Inferring Spatial Object Descriptions from Human Gesture. In Proceedings of CHI '11, 811–820.
    Data Miming project
  5. Holz, C. and Baudisch, P. 2011. Understanding Touch. In Proceedings of CHI '11, 2501–2510.
    Understanding Touch project
  6. Augsten, T., Kaefer, K., Meusel, R., Fetzer, C., Kanitz, D., Stoff., T., Becker, T., Holz, C. and Baudisch, P. 2010. Multitoe: High-Precision Interaction with Back-Projected Floors Based on High-Resolution Multi-Touch Input. In Proceedings of UIST '10, 209–218.
    Multitoe project
  7. Holz, C. and Baudisch, P. 2010. The Generalized Perceived Input Point Model and How to Double Touch Accuracy by Extracting Fingerprints. In Proceedings of CHI '10, 581–590.
    The Generalized Perceived Input Point Model project
  8. Holz, C. and Feiner, S. 2009. Relaxed Selection Techniques for Querying Time-Series Graphs. In Proceedings of UIST '09, 213–222.
    Relaxed Selection Techniques project

Non-research Projects

Keynote utilities

other utilities

Contact