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A three-step interaction pattern for improving discoverability in finger identification techniques

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Nicolas RousselAuthors Info & Claims

UIST '14 Adjunct: Adjunct Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology

Pages 33 - 34

https://doi.org/10.1145/2658779.2659100

Published: 05 October 2014 Publication History

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Abstract

Identifying which fingers are in contact with a multi-touch surface provides a very large input space that can be leveraged for command selection. However, the numerous possibilities enabled by such vast space come at the cost of discoverability. To alleviate this problem, we introduce a three-step interaction pattern inspired by hotkeys that also supports feed-forward. We illustrate this interaction with three applications allowing us to explore and adapt it in different contexts.

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Cited By

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Huang ZGao CWang HDeng XLai YMa CQin SLiu YWang H(2024)SpeciFingersProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435598:1(1-28)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643559
Mackamul ECasiez GMalacria S(2024)Clarifying and differentiating discoverabilityHuman–Computer Interaction10.1080/07370024.2024.2364606(1-26)Online publication date: 13-Jun-2024
https://doi.org/10.1080/07370024.2024.2364606
Kim JOakley I(2022)SonarID: Using Sonar to Identify Fingers on a SmartwatchProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501935(1-10)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3501935
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Index Terms

A three-step interaction pattern for improving discoverability in finger identification techniques
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

UIST '14 Adjunct: Adjunct Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology

October 2014

150 pages

ISBN:9781450330688

DOI:10.1145/2658779

General Chair:
Hrvoje Benko
Microsoft Research, USA
,
Program Chairs:
Mira Dontcheva
Adobe, USA
,
Daniel Wigdor
University of Toronto, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 05 October 2014

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UIST '14: The 27th Annual ACM Symposium on User Interface Software and Technology

October 5 - 8, 2014

Hawaii, Honolulu, USA

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UIST '14 Adjunct Paper Acceptance Rate 74 of 333 submissions, 22%;

Overall Acceptance Rate 355 of 1,733 submissions, 20%

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The 38th Annual ACM Symposium on User Interface Software and Technology

September 28 - October 1, 2025

Busan , Republic of Korea

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Huang ZGao CWang HDeng XLai YMa CQin SLiu YWang H(2024)SpeciFingersProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435598:1(1-28)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643559
Mackamul ECasiez GMalacria S(2024)Clarifying and differentiating discoverabilityHuman–Computer Interaction10.1080/07370024.2024.2364606(1-26)Online publication date: 13-Jun-2024
https://doi.org/10.1080/07370024.2024.2364606
Kim JOakley I(2022)SonarID: Using Sonar to Identify Fingers on a SmartwatchProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501935(1-10)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3501935
Roy QGuiard YBailly GLecolinet ÉRioul O(2022)Glass+Skin: An Empirical Evaluation of the Added Value of Finger Identification to Basic Single-Touch Interaction on Touch ScreensHuman-Computer Interaction – INTERACT 201510.1007/978-3-319-22723-8_5(55-71)Online publication date: 10-Mar-2022
https://dl.acm.org/doi/10.1007/978-3-319-22723-8_5
Oh SPark CJeon YChoi S(2021)Identifying Contact Fingers on Touch Sensitive Surfaces by Ring-Based Vibratory CommunicationThe 34th Annual ACM Symposium on User Interface Software and Technology10.1145/3472749.3474745(208-222)Online publication date: 10-Oct-2021
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Park KKim SYoon YKim TLee GIqbal SMacLean KChevalier FMueller S(2020)DeepFisheyeProceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology10.1145/3379337.3415818(1132-1146)Online publication date: 20-Oct-2020
https://dl.acm.org/doi/10.1145/3379337.3415818
Park KKim DHeo SLee GBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)MagTouch: Robust Finger Identification for a Smartwatch Using a Magnet Ring and a Built-in MagnetometerProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376234(1-13)Online publication date: 21-Apr-2020
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Park KLee GBrewster SFitzpatrick GCox AKostakos V(2019)FingMagExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3312982(1-6)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290607.3312982
Kim IPark KYoon YLee GBaudisch PSchmidt AWilson A(2018)Touch180Adjunct Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology10.1145/3266037.3266091(29-32)Online publication date: 11-Oct-2018
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Masson DGoguey AMalacria SCasiez GGajos KMankoff JHarrison C(2017)WhichFingersProceedings of the 30th Annual ACM Symposium on User Interface Software and Technology10.1145/3126594.3126619(41-48)Online publication date: 20-Oct-2017
https://dl.acm.org/doi/10.1145/3126594.3126619
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Recommendations

Adoiraccourcix: multi-touch command selection using finger identification

Investigating the feasibility of finger identification on capacitive touchscreens using deep learning

PhotoelasticTouch: transparent rubbery tangible interface using an LCD and photoelasticity

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