Extending Fitts' law to two-dimensional tasks
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Beyond Fitts' law: models for trajectory-based HCI tasks
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CHI '93 INTERACT '93 and CHI '93 Conference Companion on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Comparison of two touchpad-based methods for numeric entry
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A comparison of the affordances of a digital desk and tablet for architectural image tasks
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Evaluation of Input Devices for Musical Expression: Borrowing Tools from HCI
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Exploring new window manipulation techniques
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Design and evaluation of a handled trackball as a robust interface in motion
UI-HCII'07 Proceedings of the 2nd international conference on Usability and internationalization
A human motor behavior model for distal pointing tasks
International Journal of Human-Computer Studies
Revisiting path steering for 3D manipulation tasks
International Journal of Human-Computer Studies
Effects of view, input device, and track width on video game driving
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International Journal of Human-Computer Studies
The effect of varying path properties in path steering tasks
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Finger-based multitouch interface for performing 3D CAD operations
International Journal of Human-Computer Studies
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the International Conference on Multimedia, Interaction, Design and Innovation
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HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: interaction modalities and techniques - Volume Part IV
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Choosing input devices for interactive systems that best suitusers needs remains a challenge, especially consid- ering theincreasing number of devices available. The choice often has to bemade through empirical evalua- tions. The most frequently usedevaluation task hitherto is target acquisition, a task that can beaccurately modeled by Fitts law. However, todays use of computerinput devices has gone beyond target acquisition alone. Inparticular, we often need to perform trajectory-based tasks, suchas drawing, writing, and navigation. This paper illustrates how arecently discovered model, the steering law, can be applied as anevaluation paradigm complementary to Fitts law. We tested fivecommonly used computer input devices in two steering tasks, onelinear and one circular. Results showed that subjects performancewith the five devices could be generally classified into threegroups in the following order: 1. the tablet and the mouse, 2. thetrackpoint, 3. the touch- pad and the trackball. The steering lawproved to hold for all five devices with greater than 0.98correlation. The ability to generalize the experimental results andthe limitations of the steering law are also discussed.