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Button Simulation and Design via FDVV Models

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Antti OulasvirtaAuthors Info & Claims

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 14

https://doi.org/10.1145/3313831.3376262

Published: 23 April 2020 Publication History

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Abstract

Designing a push-button with desired sensation and performance is challenging because the mechanical construction must have the right response characteristics. Physical simulation of a button's force-displacement (FD) response has been studied to facilitate prototyping; however, the simulations' scope and realism have been limited. In this paper, we extend FD modeling to include vibration (V) and velocity-dependence characteristics (V). The resulting FDVV models better capture tactility characteristics of buttons, including snap. They increase the range of simulated buttons and the perceived realism relative to FD models. The paper also demonstrates methods for obtaining these models, editing them, and simulating accordingly. This end-to-end approach enables the analysis, prototyping, and optimization of buttons, and supports exploring designs that would be hard to implement mechanically.

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The auxiliary material complements Figure 1 and Figure 8 with the graphs of both FDVV models and the corresponding actuation signals of all the buttons used in the paper.

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Cited By

van Deurzen BRovelo Ruiz GBot DVanacken DLuyten K(2024)Substitute Buttons: Exploring Tactile Perception of Physical Buttons for Use as Haptic ProxiesMultimodal Technologies and Interaction10.3390/mti80300158:3(15)Online publication date: 20-Feb-2024
https://doi.org/10.3390/mti8030015
Liao YMo GDudley JCheng CChan LKristensson POulasvirta A(2024)Practical approaches to group-level multi-objective Bayesian optimization in interaction technique designCollective Intelligence10.1177/263391372412413133:1Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1177/26339137241241313
Liao YDesai RPierce ATaylor KBenko HJonker TGupta A(2024)A Meta-Bayesian Approach for Rapid Online Parametric Optimization for Wrist-based InteractionsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642071(1-38)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642071
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Index Terms

Button Simulation and Design via FDVV Models
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Haptic devices
      2. Keyboards
  2. Interaction design
    1. Interaction design process and methods
      1. Interface design prototyping

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cover image ACM Conferences

CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

10688 pages

ISBN:9781450367080

DOI:10.1145/3313831

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
Andy Cockburn
University of Canterbury, New Zealand
,
Ignacio Avellino
University of Maryland Baltimore County, USA
,
Alix Goguey
Grenoble Alpes University, France
,
Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

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Published: 23 April 2020

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https://doi.org/10.3390/mti8030015
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