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Cited by 451

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Behavioral dynamics of steering, obstable avoidance, and route selection.

Fajen, Brett R., Warren, William H.·2003·Journal of Experimental Psychology: Human Perception and Performance

Abstract

The authors investigated the dynamics of steering and obstacle avoidance, with the aim of predicting routes through complex scenes. Participants walked in a virtual environment toward a goal (Experiment 1) and around an obstacle (Experiment 2) whose initial angle and distance varied. Goals and obstacles behave as attractors and repellers of heading, respectively, whose strengths depend on distance. The observed behavior was modeled as a dynamical system in which angular acceleration is a function of goal and obstacle angle and distance. By linearly combining terms for goals and obstacles, one could predict whether participants adopt a route to the left or right of an obstacle to reach a go (Experiment 3). Route selection may emerge from on-line steering dynamics, making explicit path planning unnecessary.

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Crossref · 10.1037/0096-1523.29.2.343

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Metadata

Authors
Fajen, B. R., & Warren, W. H.
Venue
Journal of Experimental Psychology: Human Perception and Performance
Published
2003
Volume
29
Issue
2
Pages
343-362
ISSN
  • 0096-1523 (ISSN-L)
  • 1939-1277
OpenAlex
W2128458185
Cited by
451
References
42
FWCI
47.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Behavioral dynamics of steering, obstable avoidance, and route selection. https://app.cochat.ai/papers/10.1037/0096-1523.29.2.343
The paper
Fajen, B. R., & Warren, W. H. (2003). Behavioral dynamics of steering, obstable avoidance, and route selection. Journal of Experimental Psychology: Human Perception and Performance. https://doi.org/10.1037/0096-1523.29.2.343

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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.