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The acquisition of survey knowledge for local and global landmark configurations under time pressure

Credé, Sascha; Thrash, Tyler; Hölscher, Christoph; Fabrikant, Sara I (2019). The acquisition of survey knowledge for local and global landmark configurations under time pressure. Spatial Cognition & Computation, 19(3):190-219.

Abstract

The influence of stress states on cognition is widely recognized. However, the manner in which stress affects survey knowledge acquisition is still unresolved. For the present study, we investigated whether survey knowledge acquisition during a stressful task (i.e., under time pressure) is more accurate for the mental representation of global or local landmarks. Participants navigated through virtual cities with a navigation aid and explicit learning instructions for different landmark configurations. Participants’ judgments of relative direction (JRDs) suggest that global landmark configurations were not represented more accurately than local landmark configurations and that survey knowledge acquisition was not impaired under time pressure. In contrast to prior findings, our results indicate the limitations of the utility of global landmarks for spatial knowledge acquisition.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > Modeling and Simulation
Social Sciences & Humanities > Experimental and Cognitive Psychology
Physical Sciences > Computer Vision and Pattern Recognition
Physical Sciences > Earth-Surface Processes
Physical Sciences > Computer Graphics and Computer-Aided Design
Language:English
Date:3 July 2019
Deposited On:22 Mar 2019 14:15
Last Modified:20 Mar 2025 02:38
Publisher:Taylor & Francis
ISSN:1387-5868
OA Status:Green
Publisher DOI:https://doi.org/10.1080/13875868.2019.1569016
Project Information:
  • Funder: SNSF
  • Grant ID: 200020_156072
  • Project Title: EMOtive: Affective and effective visual analytics displays

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