The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Locomotion Mode Affects the Updating of Objects Encountered During Travel: The Contribution of Vestibular and Proprioceptive Inputs to Path Integration
Abstract
In two experiments, subjects traveled through virtual mazes, encountering target objects along the way. Their task was to indicate the direction to these target objects from a terminal location in the maze (from which the objects could no longer be seen). Subjects controlled their motion through the mazes using three locomotion modes. In the Walk mode, subjects walked normally in the experimental room. For each subject, body position and heading were tracked, and the tracking information was used to continuously update the visual imagery presented to the subjects on a head-mounted display. This process created the impression of immersion in the experimental maze. In the Visual Turn mode subjects moved through the environment using a joystick to control their turning. The only sensory information subjects received about rotation and translation was that provided by the computer-generated imagery. The Real Turn mode was midway between the other two modes, in that subjects physically turned in place to steer while translating in the virtual maze; thus translation through the maze was signaled only by the computer-generated imagery, whereas rotations were signaled by the imagery as well as by proprioceptive and vestibular information. The dependent measure in the experiment was the absolute error of the subject's directional estimate to each target from the terminal location. Performance in the Walk mode was significantly better than in the Visual Turn mode but other trends were not significant. A secondary finding was that the degree of motion sickness depended upon locomotion mode, with the lowest incidence occurring in the Walk mode. Both findings suggest the advisability of having subjects explore virtual environments using real rotations and translations in tasks involving spatial orientation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Spatial Updating of Self-Position and Orientation During Real, Imagined, and Virtual Locomotion
Klatzky, R. L., Loomis, J. M., Beall, A. C., Chance, S. S., & Golledge, R. G. (1998) · Psychological Science · doi:10.1111/1467-9280.00058 · Cited by 482
Self-citationIntegrating Knowledge of Vertically Aligned Large-Scale Spaces
Montello, D. R., & Pick, H. L. (1993) · Environment and Behavior · doi:10.1177/0013916593253002 · Cited by 201
Cited by
The human hippocampus and spatial and episodic memory
Burgess, N., Maguire, E. A., & O'Keefe, J. (2002) · Neuron · doi:10.1016/s0896-6273(02)00830-9 · Cited by 2,401
Blascovich, J., Loomis, J., Beall, A. C., Swinth, K. R., Hoyt, C. L., & Bailenson, J. N. (2002) · Psychological Inquiry · doi:10.1207/s15327965pli1302_01 · Cited by 1,280
Self-citationHegarty, M., Montello, D. R., Richardson, A. E., Ishikawa, T., & Lovelace, K. (2006) · Intelligence · doi:10.1016/j.intell.2005.09.005 · Cited by 820
Immersive virtual environment technology as a basic research tool in psychology
Loomis, J. M., Blascovich, J. J., & Beall, A. C. (1999) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03200735 · Cited by 717
Self-citationSpatial knowledge acquisition from maps and from navigation in real and virtual environments
Richardson, A. E., Montello, D. R., & Hegarty, M. (1999) · Memory & Cognition · doi:10.3758/bf03211566 · Cited by 570
Spatial Updating of Self-Position and Orientation During Real, Imagined, and Virtual Locomotion
Klatzky, R. L., Loomis, J. M., Beall, A. C., Chance, S. S., & Golledge, R. G. (1998) · Psychological Science · doi:10.1111/1467-9280.00058 · Cited by 482
Self-citationActive and passive contributions to spatial learning
Chrastil, E. R., & Warren, W. H. (2012) · Psychonomic Bulletin & Review · doi:10.3758/s13423-011-0182-x · Cited by 261
Ragan, E. D., Scerbo, S., Bacim, F., & Bowman, D. A. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2016.2601607 · Cited by 90
Stanney, K., Samman, S., Reeves, L., Hale, K., Buff, W., Bowers, C., Goldiez, B., Nicholson, D., & Lackey, S. (2004) · International Journal of Human-Computer Interaction · doi:10.1207/s15327590ijhc1702_7 · Cited by 65
The Infocockpit: providing location and place to aid human memory
Tan, D. S., Stefanucci, J. K., Proffitt, D. R., & Pausch, R. (2001) · Proceedings of the 2001 workshop on Perceptive user interfaces · doi:10.1145/971478.971526 · Cited by 64
Indoor Spatial Updating with Impaired Vision
Legge, G. E., Granquist, C., Baek, Y., & Gage, R. (2016) · Investigative Opthalmology & Visual Science · doi:10.1167/iovs.16-20226 · Cited by 32
Spatial learning and navigation using a virtual verbal display
Giudice, N. A., Bakdash, J. Z., Legge, G. E., & Roy, R. (2010) · ACM Transactions on Applied Perception · doi:10.1145/1658349.1658352 · Cited by 22
Learning with Virtual Verbal Displays: Effects of Interface Fidelity on Cognitive Map Development
Giudice, N. A., & Tietz, J. D. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-87601-4_11 · Cited by 9
Metadata
- Authors
- Chance, S. S., Gaunet, F., Beall, A. C., & Loomis, J. M.
- Venue
- Presence: Teleoperators and Virtual Environments
- Publisher
- MIT Press - Journals
- Published
- 1998-04
- Volume
- 7
- Issue
- 2
- Pages
- 168-178
- ISSN
- 1054-7460 (ISSN-L)
- OpenAlex
- W2127744007
- Cited by
- 484
- References
- 2
- FWCI
- 35.11
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.