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Comparing the Fidelity of Contemporary Pointing with Controller Interactions on Performance of Personal Space Target Selection

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Abstract

The goal of this research is to provide much needed empirical data on how the fidelity of popular hand gesture tracked based pointing metaphors versus commodity controller based input affects the efficiency and speed-accuracy tradeoff in users' spatial selection in personal space interactions in VR. We conduct two experiments in which participants select spherical targets arranged in a circle in personal space, or near-field within their maximum arms reach distance, in VR. Both experiments required participants to select the targets with either a VR controller or with their dominant hand's index finger, which was tracked with one of two popular contemporary tracking methods. In the first experiment, the targets are arranged in a flat circle in accordance with the ISO 9241-9 Fitts' law standard, and the simulation selected random combinations of 3 target amplitudes and 3 target widths. Targets were placed centered around the users' eye level, and the arrangement was placed at either 60%, 75%, or 90% depth plane of the users' maximum arm's reach. In experiment 2, the targets varied in depth randomly from one depth plane to another within the same configuration of 13 targets within a trial set, which resembled button selection task in hierarchical menus in differing depth planes in the near-field. The study was conducted using the HTC Vive head-mounted display, and used either a VR controller (HTC Vive), low-fidelity virtual pointing (Leap Motion), or a high-fidelity virtual pointing (tracked VR glove) conditions. Our results revealed that low-fidelity pointing performed worse than both high-fidelity pointing and the VR controller. Overall, target selection performance was found to be worse in depth planes closer to the maximum arms reach, as compared to middle and nearer distances.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2022
EditorsHenry Duh, Ian Williams, Jens Grubert, J. Adam Jones, Jianmin Zheng
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages404-413
Number of pages10
ISBN (Electronic)9781665453257
ISBN (Print)9781665453264
DOIs
Publication statusPublished - 2022
Externally publishedYes
EventIEEE International Symposium on Mixed and Augmented Reality 2022 - Singapore, Singapore
Duration: 17 Oct 202221 Oct 2022
Conference number: 21st
https://ieeexplore.ieee.org/xpl/conhome/9994794/proceeding (Proceedings)
https://ismar2022.org/ (Website)

Conference

ConferenceIEEE International Symposium on Mixed and Augmented Reality 2022
Abbreviated titleISMAR 2022
Country/TerritorySingapore
CitySingapore
Period17/10/2221/10/22
Internet address

Keywords

  • Computing methodologies
  • Human-centered computing
  • Perception
  • Virtual reality

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