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Empirical evaluation of uni- and bimodal pen and touch interaction properties on digital tabletops

Authors:

Fabrice Matulic,

Moira NorrieAuthors Info & Claims

ITS '12: Proceedings of the 2012 ACM international conference on Interactive tabletops and surfaces

Pages 143 - 152

https://doi.org/10.1145/2396636.2396659

Published: 11 November 2012 Publication History

Abstract

Combined bimanual pen and touch input on digital tabletops is an appealing interaction paradigm enjoying growing popularity among many HCI researchers. Due to its relative novelty, its properties are still relatively unexplored and many hypotheses emerging from intuition and extrapolations from studies about touch and other pointing devices remain to be verified. We present an empirical evaluation consisting of three experiments aimed at investigating a few important issues of pen and touch interaction on horizontal surfaces. Specifically, we examine the compromise between speed and accuracy for the two input modalities in positioning and tracing contexts, the influence of palm-resting on pen precision and bimanual coordination for pen mode-switching via postures. We report on quantitative and qualitative results obtained from these trials and discuss their potential impact on the design of pen and touch systems.

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Cited By

Foley MRoy QHuang DLi WVogel D(2022)Switching Between Standard Pointing Methods with Current and Emerging Computer Form FactorsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517433(1-14)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517433
Pfeuffer KDinc AObernolte JRivu RAbdrabou YShelter FAbdelrahman YAlt F(2021)Bi-3D: Bi-Manual Pen-and-Touch Interaction for 3D Manipulation on TabletsThe 34th Annual ACM Symposium on User Interface Software and Technology10.1145/3472749.3474741(149-161)Online publication date: 10-Oct-2021
https://dl.acm.org/doi/10.1145/3472749.3474741
Matulic FVogel D(2021)Deep Learning-Based Hand Posture Recognition for Pen Interaction EnhancementArtificial Intelligence for Human Computer Interaction: A Modern Approach10.1007/978-3-030-82681-9_7(193-225)Online publication date: 5-Nov-2021
https://doi.org/10.1007/978-3-030-82681-9_7
Show More Cited By

Index Terms

Empirical evaluation of uni- and bimodal pen and touch interaction properties on digital tabletops
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information

Published In

cover image ACM Conferences

ITS '12: Proceedings of the 2012 ACM international conference on Interactive tabletops and surfaces

November 2012

430 pages

ISBN:9781450312097

DOI:10.1145/2396636

General Chairs:
Orit Shaer
Wellesley College, USA
,
Chia Shen
Harvard University, USA
,
Program Chairs:
Meredith Ringel Morris
Microsoft Research, USA
,
Michael Horn
Northwestern University, USA

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 November 2012

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ITS'12

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SIGCHI

ITS'12: Interactive Tabletops and Surfaces

November 11 - 14, 2012

Massachusetts, Cambridge, USA

Acceptance Rates

ITS '12 Paper Acceptance Rate 24 of 63 submissions, 38%;

Overall Acceptance Rate 119 of 418 submissions, 28%

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Cited By

Foley MRoy QHuang DLi WVogel D(2022)Switching Between Standard Pointing Methods with Current and Emerging Computer Form FactorsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517433(1-14)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517433
Pfeuffer KDinc AObernolte JRivu RAbdrabou YShelter FAbdelrahman YAlt F(2021)Bi-3D: Bi-Manual Pen-and-Touch Interaction for 3D Manipulation on TabletsThe 34th Annual ACM Symposium on User Interface Software and Technology10.1145/3472749.3474741(149-161)Online publication date: 10-Oct-2021
https://dl.acm.org/doi/10.1145/3472749.3474741
Matulic FVogel D(2021)Deep Learning-Based Hand Posture Recognition for Pen Interaction EnhancementArtificial Intelligence for Human Computer Interaction: A Modern Approach10.1007/978-3-030-82681-9_7(193-225)Online publication date: 5-Nov-2021
https://doi.org/10.1007/978-3-030-82681-9_7
Xu XYu CWang YShi Y(2020)Recognizing Unintentional Touch on Interactive TabletopProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33810114:1(1-24)Online publication date: 18-Mar-2020
https://dl.acm.org/doi/10.1145/3381011
Cami DMatulic FCalland RVogel BVogel DBaudisch PSchmidt AWilson A(2018)Unimanual Pen+Touch Input Using Variations of Precision Grip PosturesProceedings of the 31st Annual ACM Symposium on User Interface Software and Technology10.1145/3242587.3242652(825-837)Online publication date: 11-Oct-2018
https://dl.acm.org/doi/10.1145/3242587.3242652
Aslan IBuchwald IKoytek PAndré EBjörk SEriksson EFjeld MBødker SBarendregt WObaid M(2016)Pen + Mid-AirProceedings of the 9th Nordic Conference on Human-Computer Interaction10.1145/2971485.2971511(1-10)Online publication date: 23-Oct-2016
https://dl.acm.org/doi/10.1145/2971485.2971511
Pfeuffer KAlexander JGellersen HKaye JDruin ALampe CMorris DHourcade J(2016)Partially-indirect Bimanual Input with Gaze, Pen, and Touch for Pan, Zoom, and Ink InteractionProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858201(2845-2856)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2858036.2858201
Martin-Albo DLeiva LPlamondon R(2016)On the Design of Personal Digital Bodyguards: Impact of Hardware Resolution on Handwriting Analysis2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR)10.1109/ICFHR.2016.0043(174-179)Online publication date: Oct-2016
https://doi.org/10.1109/ICFHR.2016.0043
Annett MBischof WZhang HTang T(2015)Hands, hover, and nibsProceedings of the 41st Graphics Interface Conference10.5555/2788890.2788926(203-210)Online publication date: 3-Jun-2015
https://dl.acm.org/doi/10.5555/2788890.2788926
Matulic FHusmann MWalter SNorrie MNunes NCostanza EOlivier PSchöning J(2015)Eyes-Free Touch Command Support for Pen-Based Digital Whiteboards via Handheld DevicesProceedings of the 2015 International Conference on Interactive Tabletops & Surfaces10.1145/2817721.2817728(141-150)Online publication date: 15-Nov-2015
https://dl.acm.org/doi/10.1145/2817721.2817728
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