Beyond Fitts' law: models for trajectory-based HCI tasks
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Scale effects in steering law tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Presence: Teleoperators and Virtual Environments - Special issue: IEEE VR 2003
International Journal of Human-Computer Studies - Special issue: Fitts law 50 years later: Applications and contributions from human-computer interaction
Measuring the effective parameters of steering motions
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Measuring the difficulty of steering through corners
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modeling steering within above-the-surface interaction layers
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Modeling human performance of pen stroke gestures
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An error model for pointing based on Fitts' law
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An investigation of subjective operational biases in steering tasks evaluation
Behaviour & Information Technology
Careless touch: a comparative evaluation of mouse, pen, and touch input in shape tracing task
Proceedings of the 23rd Australian Computer-Human Interaction Conference
Activity or product?: drawing and HCI
Proceedings of the International Conference on Multimedia, Interaction, Design and Innovation
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Speed-accuracy tradeoff is a common phenomenon in many types of human motor tasks. In general, the more accurately the task is to be accomplished, the more time it takes, and vice versa. In particular, when users attempt to complete the task with a specified amount of time, the accuracy of the task can be considered as a dependent variable to measure user performance. In this paper we investigate speed-accuracy tradeoff in trajectory-based tasks with temporal constraint, through a controlled experiment that manipulates the movement time (MT ) in addition to the tunnel amplitude (A ) and width (W ). A quantitative model is proposed and validated to predict the task accuracy in terms of lateral standard deviation (SD ) of the trajectory.