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10.1145/2931002.2947701acmconferencesArticle/Chapter ViewAbstractPublication PagessapConference Proceedingsconference-collections
abstract

User sensitivity to speed- and height-mismatch in VR

Published: 22 July 2016 Publication History

Abstract

Facebook's purchase of Oculus VR in 2014 ushered in a new era of consumer virtual reality head-mounted displays (HMDs). Converging technological advancements in small, high-resolution displays and motion-detection devices propelled VR beyond the purview of high-tech research laboratories and into the mainstream. However, technological hurdles still remain. As more consumer grade products develop, user comfort and experience will be of the utmost importance. One of the biggest issues for HMDs that lack external tracking is drift in the user position and rotation sensors. Drift can cause motion sickness and make stationary items in the virtual environment to appear to shift in position. For developers who seek to design VR experiences that are rooted in real environments, drift can create large errors in positional tracking if left uncorrected over time. Although much of the current VR hardware makes use of external tracking devices to mitigate positional and rotational drift, the creation of head-mounted displays that can operate without the use of extremal tracking devices would make VR hardware more portable and flexible, and may therefore be a goal for future development.
Until technology advances sufficiently to completely overcome the hardware problems that cause drift, software solutions are a viable option to correct for it. It may be possible to speed up and slow down users as they move though the virtual world in order to bring their tracked position back into alignment with their position in the real world. If speed changes can be implemented without users noticing the alteration, it may offer a seamless solution that does not interfere with the VR experience.
In Experiments 1 and 2, we artificially introduced speed changes that made users move through the VR environment either faster than or slower than their actual real-world speed. Users were tasked with correctly identifying when they were moving at the correct true-to-life speed when compared to an altered virtual movement speed. Fore and aft movement and movement from side to side initiated by seated users bending at the waist were tested separately in two experiments. In Experiment 3, we presented alternating views of the virtual scene from different user heights. In this study, users had to correctly distinguish the view of the virtual scene presented at the correct height from incorrect shorter and taller heights.
In Experiments 1 and 2, we found that on average speed increases and decreases up to approximately 25% went unnoticed by users, suggesting that there is flexibility for programs to add speed changes imperceptible to users to correct for drift. In contrast, Experiment 3 demonstrates that on average users were aware of height changes after virtual heights were altered by just 5 cm. These thresholds can be used by VR developers to compensate for tracking mismatches between real and virtual positions of users of virtual environments, and also by engineers to benchmark new virtual reality hardware against human perceptual abilities.

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  • (2022)BikeAR: Understanding Cyclists’ Crossing Decision-Making at Uncontrolled Intersections using Augmented RealityProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517560(1-15)Online publication date: 29-Apr-2022
  • (2022)E-ScootAR: Exploring Unimodal Warnings for E-Scooter Riders in Augmented RealityExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519831(1-7)Online publication date: 27-Apr-2022
  • (2021)maxSIMhealth: An Interconnected Collective of Manufacturing, Design, and Simulation Labs to Advance Medical Simulation TrainingRecent Advances in Technologies for Inclusive Well-Being10.1007/978-3-030-59608-8_8(141-176)Online publication date: 17-Mar-2021

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cover image ACM Conferences
SAP '16: Proceedings of the ACM Symposium on Applied Perception
July 2016
149 pages
ISBN:9781450343831
DOI:10.1145/2931002
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 July 2016

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  1. human perception and performance
  2. virtual reality

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SAP '16
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SAP '16: ACM Symposium on Applied Perception 2016
July 22 - 23, 2016
California, Anaheim

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Overall Acceptance Rate 43 of 94 submissions, 46%

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Cited By

View all
  • (2022)BikeAR: Understanding Cyclists’ Crossing Decision-Making at Uncontrolled Intersections using Augmented RealityProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517560(1-15)Online publication date: 29-Apr-2022
  • (2022)E-ScootAR: Exploring Unimodal Warnings for E-Scooter Riders in Augmented RealityExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519831(1-7)Online publication date: 27-Apr-2022
  • (2021)maxSIMhealth: An Interconnected Collective of Manufacturing, Design, and Simulation Labs to Advance Medical Simulation TrainingRecent Advances in Technologies for Inclusive Well-Being10.1007/978-3-030-59608-8_8(141-176)Online publication date: 17-Mar-2021

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