Visual expertise for aerial- and ground-views of houses: No evidence for mental rotation, but experts were more diligent than novices

Abstract

Ordnance Survey (OS) remote sensing surveyors have extensive experience with aerial views of scenes and objects. Building on our previous work with this group, we investigated whether their expertise influenced performance on a same/different object recognition task involving houses. In an online study, these stimuli were shown from both familiar ground-level viewpoints and from what is for most people, unfamiliar aerial viewpoints. OS experts and novices compared achromatic, disparity-free images with aerial perspectives rotated around the clock against canonical ground-views; we measured response times (RTs) and sensitivities (d’). In two ‘grounding’ tasks using rotated letters, we found conventional outcomes for both groups, validating the online approach. Experiment 1 (non-matching letters) yielded ceiling-level performance with no signs of mental rotation, consistent with a feature-based recognition strategy. In Experiment 2 (mirror reversed letters), both groups showed orientation-dependent performance, but experts exhibited a speed-accuracy trade-off, responding more cautiously than novices. In the main house task (Experiment 3), we found (a) the same speed-accuracy trade-off observed in Experiment 2, (b) substantially longer RTs overall, and (c) no evidence for mental rotation in either group, mirroring Experiment 1. Contrary to our earlier findings on aerial depth perception, expertise in remote sensing did not yield a distinctive recognition strategy for the experiments here. However, experts displayed more diligent tactics in Experiments 2 and 3. We suggest that all participants in Experiment 3 engaged in cognitively challenging feature comparisons across viewpoints, presumably supported by volumetric or surface-connected prototypes of houses as the basis for feature comparisons.

Publication DOI: https://doi.org/10.1177/03010066251378983
Divisions: College of Health & Life Sciences > School of Psychology
College of Health & Life Sciences
College of Health & Life Sciences > School of Optometry > Optometry
Aston University (General)
Funding Information: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: ES was supported by funding from Aston University (UK), Ordnance Survey Ltd (company number 9121572), and a grant from Kempe
Additional Information: Copyright © The Author(s) 2025. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Publication ISSN: 1468-4233
Last Modified: 09 Oct 2025 07:14
Date Deposited: 08 Oct 2025 13:47
Full Text Link:
Related URLs: https://journal ... 010066251378983 (Publisher URL)
PURE Output Type: Article
Published Date: 2025-10-07
Published Online Date: 2025-10-07
Accepted Date: 2025-08-30
Authors: Skog, Emil
Schofield, Andrew John (ORCID Profile 0000-0002-0589-4678)
Meese, Timothy S. (ORCID Profile 0000-0003-3744-4679)

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