The DOI matches its Crossref record.
Navigating large virtual spaces
Abstract
As important as navigation is to human performance in virtual worlds, it is an often overlooked problem in the design process. This article reports an experiment intended to show that real‐world wayfinding and environmental design principles are effective in designing virtual worlds that support skilled wayfinding behavior. The study measures participant performance on a complex searching task in a number of virtual worlds with differing environmental cues. The worlds are augmented with either a radial grid, a map, or both a grid and a map. The control condition provided no additional navigational cues. The results showed that navigational performance was superior under both map treatments as compared to the control and grid conditions. The grid was, however, shown to provide superior directional information as compared to the other conditions. The control condition provided the worst performance, with participants often becoming disoriented and experiencing extreme difficulty completing the tasks.
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
Cited by
Spatial 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
The Transfer of Spatial Knowledge in Virtual Environment Training
Waller, D., Hunt, E., & Knapp, D. (1998) · Presence: Teleoperators and Virtual Environments · doi:10.1162/105474698565631 · Cited by 477
The Ideals and Reality of Participating in a MOOC
Mackness, J., Mak, S. F. J., & Williams, R. (2010) · Proceedings of the International Conference on Networked Learning · doi:10.54337/nlc.v7.9190 · Cited by 437
Ruddle, R. A., Payne, S. J., & Jones, D. M. (1997) · Journal of Experimental Psychology: Applied · doi:10.1037//1076-898x.3.2.143 · Cited by 398
Cognitive and Usability Issues in Geovisualization
Slocum, T. A., Blok, C., Jiang, B., Koussoulakou, A., Montello, D. R., Fuhrmann, S., & Hedley, N. R. (2001) · Cartography and Geographic Information Science · doi:10.1559/152304001782173998 · Cited by 340
Metadata
- Authors
- Darken, R. P., & Sibert, J. L.
- Venue
- International Journal of Human-Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 1996-01
- Volume
- 8
- Issue
- 1
- Pages
- 49-71
- ISSN
- 1044-7318 (ISSN-L)
- 1532-7590
- OpenAlex
- W2050096992
- Cited by
- 307
- References
- 0
- FWCI
- 43.78
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Navigating large virtual spaces. https://app.cochat.ai/papers/10.1080/10447319609526140
- The paper
- Darken, R. P., & Sibert, J. L. (1996). Navigating large virtual spaces. International Journal of Human-Computer Interaction. https://doi.org/10.1080/10447319609526140
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.