Beyond Fitts' law: models for trajectory-based HCI tasks
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Visual similarity of pen gestures
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
International Journal of Human-Computer Studies - Special issue: Fitts law 50 years later: Applications and contributions from human-computer interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The effect of spring stiffness and control gain with an elastic rate control pointing device
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
OctoPocus: a dynamic guide for learning gesture-based command sets
Proceedings of the 21st annual ACM symposium on User interface software and technology
An empirical evaluation of some articulatory and cognitive aspects of marking menus
Human-Computer Interaction
Texture displays: a passive approach to tactile presentation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using strokes as command shortcuts: cognitive benefits and toolkit support
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A material focus: exploring properties of computational composites
CHI '09 Extended Abstracts on Human Factors in Computing Systems
A Model for Steering with Haptic-Force Guidance
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
Texturing the "material turn" in interaction design
Proceedings of the fourth international conference on Tangible, embedded, and embodied interaction
Skinput: appropriating the body as an input surface
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An investigation of subjective operational biases in steering tasks evaluation
Behaviour & Information Technology
Material probe: exploring materiality of digital artifacts
Proceedings of the fifth international conference on Tangible, embedded, and embodied interaction
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Steering law is a fundamental model for steering tasks. Many researchers have investigated it according to different input devices, difficulty of task, subjective bias and scale effect etc. However, there is little study about the effect of surface environments especially on the texture of the interaction surface. In this paper, we experimentally investigated users' performances with various surface textures in steering tasks. Five common but different materials were used to supply different textures. Several potential factors of friction are considered in this study. The results showed that texture has no significant effect on movement time. Users naturally and dynamically adjust their force to suit different textures. In a limited range, the smoother the surface is, the more trajectory errors were performed. Our evaluation also proved that different textures can affect user satisfaction significantly.