To press a button, a finger must push down and pull up with the right force and timing. How the motor system succeeds in button-pressing, in spite of neural noise and lacking direct access to the mechanism of the button, is poorly understood. This paper investigates a unifying account based on neuromechanics. Mechanics is used to model muscles controlling the finger that contacts the button. Neurocognitive principles are used to model how the motor system learns appropriate muscle activations over repeated strokes though relying on degraded sensory feedback. Neuromechanical simulations yield a rich set of predictions for kinematics, dynamics, and user performance and may aid in understanding and improving input devices. We present a computational implementation and evaluate predictions for common button types.
|Title of host publication||CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems|
|Subtitle of host publication||Engage with CHI|
|Publisher||Association for Computing Machinery|
|ISBN (Electronic)||9781450356206, 9781450356213|
|Publication status||Published - 2018 Apr 20|
|Event||2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada|
Duration: 2018 Apr 21 → 2018 Apr 26
|Name||Conference on Human Factors in Computing Systems - Proceedings|
|Conference||2018 CHI Conference on Human Factors in Computing Systems, CHI 2018|
|Period||18/4/21 → 18/4/26|
Bibliographical notePublisher Copyright:
© 2018 Copyright is held by the owner/author(s).
All Science Journal Classification (ASJC) codes
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design