We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
This paper describes an ongoing project with the goal of designing and implementing a method to evaluate visualizations based on the tasks supported. The method evaluates time to ...
Octavio Juarez Espinosa, Chris Hendrickson, James ...
We present an experimental study of automatic camera control in the performance of collaborative remote repair tasks using video-mediated communication. Twelve pairs of participan...
Abhishek Ranjan, Jeremy P. Birnholtz, Ravin Balakr...
Fitts' law, relating the time to acquire a target to the target size and the distance from the target, is an effective and widely used predictor of performance in feedback co...
Recent research has found that forced interruptions at points of higher mental workload are more disruptive than at points of lower workload. This paper investigates a complementa...