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An evaluation of touchless hand gestural interaction for pointing tasks with preferred and non-preferred hands

Published: 26 October 2014 Publication History

Abstract

Performance evaluations of touchless gestural interaction are generally done by benchmarking pointing performance against existing interactive devices, requiring the use of user's preferred hand. However, as there is no reason for this interaction to be limited to only one hand, evaluation should rightfully consider both hands. In this paper we evaluate the performance of touchless gestural interaction for pointer manipulation with both the preferred and non-preferred hands. This interaction is benchmarked against the mouse and the touchpad with a multidirectional task. We compared the performance between all devices, improvement in performance between 2 rounds, and the degradation of performance between hands. The results show the mouse has no performance increase between rounds but high degradation across hands, the touchpad has medium performance increase and medium degradation, and gestural interaction has the highest performance increase and the lowest degradation between hands.

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    NordiCHI '14: Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational
    October 2014
    361 pages
    ISBN:9781450325424
    DOI:10.1145/2639189
    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 the author(s) 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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    Published: 26 October 2014

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    Author Tags

    1. Fitts' evaluation
    2. gestural interaction
    3. motor learning
    4. non-preferred hand

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    NordiCHI '14 Paper Acceptance Rate 89 of 361 submissions, 25%;
    Overall Acceptance Rate 379 of 1,572 submissions, 24%

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    Cited By

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    • (2022)Asymmetric Free-Hand Interaction on a Large Display and Inspirations for Designing Natural User InterfacesSymmetry10.3390/sym1405092814:5(928)Online publication date: 2-May-2022
    • (2022)Push, Tap, Dwell, and Pinch: Evaluation of Four Mid-air Selection Methods Augmented with Ultrasonic Haptic FeedbackProceedings of the ACM on Human-Computer Interaction10.1145/35677186:ISS(207-225)Online publication date: 14-Nov-2022
    • (2022)Fitts’ Throughput and “Absolute” Finger Precision by Handedness, Hand, Digit and Target WidthNordic Human-Computer Interaction Conference10.1145/3546155.3546644(1-11)Online publication date: 8-Oct-2022
    • (2020)Eye-Hand Coordination Training for Sports with Mid-air VRProceedings of the 26th ACM Symposium on Virtual Reality Software and Technology10.1145/3385956.3418971(1-10)Online publication date: 1-Nov-2020
    • (2019)Interaction can hurt - Exploring gesture-based interaction for users with Chronic PainSymposium on Spatial User Interaction10.1145/3357251.3357589(1-5)Online publication date: 19-Oct-2019
    • (2019)A Left-Hand AdvantageExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3312974(1-6)Online publication date: 2-May-2019
    • (2017)Taking FlightIEEE Computer Graphics and Applications10.1109/MCG.2017.437:1(4-5)Online publication date: 1-Jan-2017
    • (2017)Improving 3D Character Posing with a Gestural InterfaceIEEE Computer Graphics and Applications10.1109/MCG.2015.11737:1(70-78)Online publication date: 1-Jan-2017
    • (2016)Reporting and Visualizing Fitts's LawProceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems10.1145/2851581.2892364(2519-2525)Online publication date: 7-May-2016
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