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The role of contextual haptic and visual constraints on object manipulation in virtual environments

Published: 01 April 2000 Publication History

Abstract

An experiment was conducted to investigate the role of surrounding haptic and visual information on object manipulation in a virtual environment. The contextual haptic constraints were implemented with a physical table and the contextual visual constraints included a checkerboard background (“virtual table”). It was found that the contextual haptic constraints (the physical table surface) dramatically increased object manipulation speed, but slightly reduced spatial accuracy, compared to free space. The contextual visual constraints (presence of the checkerboard) actually showed detrimental effects on both object manipulation speed and accuracy. Implications of these findings for human-computer interaction design are discussed.

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cover image ACM Conferences
CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems
April 2000
587 pages
ISBN:1581132166
DOI:10.1145/332040
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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Publication History

Published: 01 April 2000

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Author Tags

  1. 3D
  2. augmented environment
  3. controls and displays
  4. degrees of freedom
  5. docking
  6. force feedback
  7. graphic interface
  8. haptic information
  9. human performance
  10. task context
  11. virtual reality
  12. visual information

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CHI00
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CHI00: Human Factors in Computing Systems
April 1 - 6, 2000
The Hague, The Netherlands

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CHI '00 Paper Acceptance Rate 72 of 336 submissions, 21%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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  • (2023)Constraint-based bare-hand immersive 3D modellingi-com10.1515/icom-2023-001322:2(125-141)Online publication date: 31-May-2023
  • (2023)HAPmini: 2D haptic feedback generation using single actuator devicePLOS ONE10.1371/journal.pone.028500218:4(e0285002)Online publication date: 26-Apr-2023
  • (2022)ComforTable User Interfaces: Surfaces Reduce Input Error, Time, and Exertion for Tabletop and Mid-air User Interfaces2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR55827.2022.00029(150-159)Online publication date: Oct-2022
  • (2021)Design of 3D Microgestures for Commands in Virtual Reality or Augmented RealityApplied Sciences10.3390/app1114637511:14(6375)Online publication date: 9-Jul-2021
  • (2021)A New Dataset and Recognition for Egocentric Microgesture Designed by ErgonomistsImage and Graphics10.1007/978-3-030-87358-5_7(80-89)Online publication date: 30-Sep-2021
  • (2019)The Case for Haptic Props: Shape, Weight and Vibro-tactile FeedbackProceedings of the 12th ACM SIGGRAPH Conference on Motion, Interaction and Games10.1145/3359566.3360058(1-10)Online publication date: 28-Oct-2019
  • (2018)Analyzing Exfordance Use by Unilateral Upper-Limb Amputees*2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)10.1109/BIOROB.2018.8487797(86-93)Online publication date: Aug-2018
  • (2017)UbiiIEEE Transactions on Mobile Computing10.1109/TMC.2016.256737816:3(872-885)Online publication date: 1-Mar-2017
  • (2016)HapThimbleProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858196(3694-3705)Online publication date: 7-May-2016
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