Neuromechanics of a button press

Antti Oulasvirta; Sunjun Kim; Byungjoo Lee

doi:10.1145/3173574.3174082

Neuromechanics of a button press

Antti Oulasvirta, Sunjun Kim, Byungjoo Lee

Department of Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

36 Scopus citations

Abstract

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.

Original language	English
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
DOIs	https://doi.org/10.1145/3173574.3174082
State	Published - 20 Apr 2018
Event	2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada Duration: 21 Apr 2018 → 26 Apr 2018

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings
Volume	2018-April

Conference

Conference	2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
Country/Territory	Canada
City	Montreal
Period	21/04/18 → 26/04/18

Bibliographical note

Publisher Copyright:
© 2018 Copyright is held by the owner/author(s).

Keywords

Buttons
Control theory
Input devices
Input engineering
Neuromechanics
Perceptual control
Probabilistic motor control

Access to Document

10.1145/3173574.3174082

Cite this

@inproceedings{188b2cc7263742b0afc042a9be55daa8,

title = "Neuromechanics of a button press",

abstract = "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.",

keywords = "Buttons, Control theory, Input devices, Input engineering, Neuromechanics, Perceptual control, Probabilistic motor control",

author = "Antti Oulasvirta and Sunjun Kim and Byungjoo Lee",

note = "Publisher Copyright: {\textcopyright} 2018 Copyright is held by the owner/author(s).; 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 ; Conference date: 21-04-2018 Through 26-04-2018",

year = "2018",

month = apr,

day = "20",

doi = "10.1145/3173574.3174082",

language = "English",

series = "Conference on Human Factors in Computing Systems - Proceedings",

publisher = "Association for Computing Machinery",

booktitle = "CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems",

}

Oulasvirta, A, Kim, S & Lee, B 2018, Neuromechanics of a button press. in CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Conference on Human Factors in Computing Systems - Proceedings, vol. 2018-April, Association for Computing Machinery, 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, Montreal, Canada, 21/04/18. https://doi.org/10.1145/3173574.3174082

Neuromechanics of a button press. / Oulasvirta, Antti; Kim, Sunjun; Lee, Byungjoo.
CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery, 2018. (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Neuromechanics of a button press

AU - Oulasvirta, Antti

AU - Kim, Sunjun

AU - Lee, Byungjoo

PY - 2018/4/20

Y1 - 2018/4/20

N2 - 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.

AB - 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.

KW - Buttons

KW - Control theory

KW - Input devices

KW - Input engineering

KW - Neuromechanics

KW - Perceptual control

KW - Probabilistic motor control

UR - http://www.scopus.com/inward/record.url?scp=85046944991&partnerID=8YFLogxK

U2 - 10.1145/3173574.3174082

DO - 10.1145/3173574.3174082

M3 - Conference contribution

AN - SCOPUS:85046944991

T3 - Conference on Human Factors in Computing Systems - Proceedings

BT - CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

T2 - 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018

Y2 - 21 April 2018 through 26 April 2018

ER -

Neuromechanics of a button press

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this