abstract

Head-Coupled Kinematic Template Matching for Target Selection in Hangry Piggos

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Hrvoje BenkoAuthors Info & Claims

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 4

https://doi.org/10.1145/3334480.3383176

Published: 25 April 2020 Publication History

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Abstract

We demonstrate Head-Coupled Kinematic Template Matching (HC-KTM) - a new technique to predict a ray pointer's landing position (end-position and angle) for selection movements in virtual reality (VR) environments. The technique adapts and extends a prior 2D kinematic template matching method to VR environments where ray pointers are used for selection. It builds on the insight that the kinematics of a controller and Head-Mounted Display (HMD) can be used to predict the ray's final landing position and angle. In our VR game, Hangry Piggos, we leverage HC-KTM to generate target predictions within a scene, and we apply pointing visualization techniques on top of them to accelerate a player's selection.

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References

[1]

Marc Baloup, Thomas Pietrzak, and Géry Casiez. 2019. RayCursor: A 3D Pointing Facilitation Technique based on Raycasting. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM, New York, NY, USA, Paper 101, 12 pages.

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[2]

Tovi Grossman and Ravin Balakrishnan. 2006. The design and evaluation of selection techniques for 3D volumetric displays. In Proceedings of the 19th annual ACM symposium on User interface software and technology (UIST '06). ACM, New York, NY, USA, 3--12.

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Rorik Henrikson, Tovi Grossman, Sean Trowbridge, Daniel Wigdor, and Hrvoje Benko. 2020. Head-Coupled Kinematic Template Matching: A Prediction Model for Ray Pointing in VR. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '20). ACM, New York, NY, USA. To appear.

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Regis Kopper, Doug A.Bowman, Mara G.Silva, Ryan P.McMahan. 2010. A human motor behavior model for distal pointing tasks. International journal of human-computer studies, 68(10). 603615. Elsevier.

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Phillip T. Pasqual and Jacob O. Wobbrock. 2014. Mouse pointing endpoint prediction using kinematic template matching. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA, 743--752.

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Zhang THu ZGupta AWu CBenko HJonker T(2022)RIDS: Implicit Detection of a Selection Gesture Using Hand Motion Dynamics During Freehand Pointing in Virtual RealityProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545701(1-12)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545701
Yu DDesai RZhang TBenko HJonker TGupta A(2022)Optimizing the Timing of Intelligent Suggestion in Virtual RealityProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545632(1-20)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545632

Index Terms

Head-Coupled Kinematic Template Matching for Target Selection in Hangry Piggos
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Virtual reality
    2. Interaction techniques
      1. Pointing

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Head-Coupled Kinematic Template Matching: A Prediction Model for Ray Pointing in VR
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Published In

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

4474 pages

ISBN:9781450368193

DOI:10.1145/3334480

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

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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Published: 25 April 2020

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CHI '20: CHI Conference on Human Factors in Computing Systems

April 25 - 30, 2020

HI, Honolulu, USA

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Zhang THu ZGupta AWu CBenko HJonker T(2022)RIDS: Implicit Detection of a Selection Gesture Using Hand Motion Dynamics During Freehand Pointing in Virtual RealityProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545701(1-12)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545701
Yu DDesai RZhang TBenko HJonker TGupta A(2022)Optimizing the Timing of Intelligent Suggestion in Virtual RealityProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545632(1-20)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545632

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Head-Coupled Kinematic Template Matching: A Prediction Model for Ray Pointing in VR

Mouse pointing endpoint prediction using kinematic template matching

An Investigation of Multimodal Kinematic Template Matching for Ray Pointing Prediction for Target Selection in VR

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