AIM Research Group: Interaction

Interaction Design and Analysis

Gestures for Surface Computing
Jacob O. Wobbrock (iSchool), Meredith Ringel Morris and Andrew D. Wilson (Microsoft Research)
Capturing users' hand gestures for surface computing gesture design.

Wobbrock, J.O., Morris, M.R. and Wilson, A.D. (2009). User-defined gestures for surface computing. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '09). Boston, Massachusetts (April 4-9, 2009). New York: ACM Press, pp. 1083-1092. Best Paper Nominee.

Usability Evaluation and Software Engineering in Complex Domains
Parmit K. Chilana, Andrew J. Ko and Jacob O. Wobbrock (iSchool)
Exploring the challenges of designing and evaluating systems in complex domains (e.g., bioinformatics), and seeking to invent facilitating processes and tools.

Chilana, P.K., Ko, A.J. and Wobbrock, J.O. (2009). Designing software for unfamiliar domains. Workshop on Cooperative and Human Aspects of Software Engineering (CHASE '09). In Companion of the 31st International Conference on Software Engineering (ICSE '09). Vancouver, British Columbia (May 17, 2009). Washington, D.C.: IEEE Computer Society, p. 22.

Error Model for Pointing
Jacob O. Wobbrock (iSchool), Ed Cutrell (Microsoft Research), Susumu Harada (CSE), and I. Scott MacKenzie (York University)
Deriving and validating a model for pointing errors in user interfaces based on target and movement parameters. Will be useful in theoretical models of target acquisition. [FittsStudy]

Wobbrock, J.O., Cutrell, E., Harada, S. and MacKenzie, I.S. (2008). An error model for pointing based on Fitts' law. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '08). Florence, Italy (April 5-10, 2008). New York: ACM Press, pp. 1613-1622. Best Paper Award.

Automatic C-D Gain Optimization in the Wild
Conrad Poepke (Hasso Plattner Institute), Patrick Baudisch (Hasso Plattner Institute) and Jacob O. Wobbrock (iSchool)
Investigating ways of automatically optimizing the control-display gain of the mouse in real-world pointing environments.

$1 and $N Gesture Recognizers
Jacob O. Wobbrock (iSchool), Andrew D. Wilson (Microsoft Research), and Yang Li (CSE)
Exploring the performance of simple, easily implementable gesture recognition algorithms as they compare to high-end pattern matching algorithms many user interface prototypers can't or don't want to implement. [YouTube]

Wobbrock, J.O., Wilson, A.D. and Li, Y. (2007). Gestures without libraries, toolkits or training: A $1 recognizer for user interface prototypes. Proceedings of the ACM Symposium on User Interface Software and Technology (UIST '07). Newport, Rhode Island (October 7-10, 2007). New York: ACM Press, pp. 159-168. Selected for reprise at SIGGRAPH '08.