A Dataset of Paired Head and Eye Movements During Visual Tasks in Virtual Environments

Details

• Personal Author:
  Brewer E ; Brown DS ; Mattson C ; Rubow C ; Tsai C-H ; Zhang H
• Description:
  We describe a multimodal dataset of paired head and eye movements acquired in controlled virtual reality environments. Our dataset includes head and eye movement for n = 25 participants who interacted with four different virtual reality environments that required coordinated head and eye behaviors. Our data collection involved two visual tracking tasks and two visual searching tasks. Each participant performed each task three times, resulting in approximately 1080 seconds of paired head and eye movement and 129,611 data samples of paired head and eye rotations per participant. This dataset enables research into predictive models of intended head movement conditioned on gaze for augmented and virtual reality experiences, as well as assistive devices like powered exoskeletons for individuals with head-neck mobility limitations. This dataset also allows biobehavioral and mechanism studies of the variability in head and eye movement across different participants and tasks. The virtual environment developed for this data collection is open sourced and thus available for others to perform their own data collection and modify the environment. Description provided by NIOSH
• Subjects:
  • Biomechanical Phenomena
  • Occupational Health
  • Safety
• Keywords:
  • Virtual reality
  • Motion studies
  • Visual motor performance
  • Biomechanics
  • Eye movement
  • Robotics
• ISSN:
  2052-4463
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Denver Region OSHA ; Utah
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  11
• NIOSHTIC Number:
  nn:20070539
• Citation:
  Sci Data 2024 Dec; 11:1328
• Contact Point Address:
  Daniel S. Brown, Robotics Center, University of Utah, Salt Lake City, 84112, USA
• Email:
  daniel.s.brown@utah.edu
• Federal Fiscal Year:
  2025
• Performing Organization:
  University of Utah
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Scientific Data
• End Date:
  20280630
• Download URL:
  https://stacks.cdc.gov/view/cdc/208724/cdc_208724_DS1.pdf
• File Type:
  [PDF - 1.69 MB]
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:2b3c61babceceb26e45da178fc476679547c50c9766812a063b83f2f88784f5a913abde13d37e07a51f3ac193430b2a02776e2a56ae21e49189228e36033123e