Allocation of Space-Based Attention is Guided by Efficient Comprehension of Spatial Direction

Author:

Barnas Adam J.ORCID,Ebner Natalie C.ORCID,Weisberg Steven M.ORCID

Abstract

Spatial navigation is supported by visual cues (e.g., scenes, schemas like arrows, and words) that must be comprehended quickly to facilitate effective transit. People comprehend spatial directions faster from schemas and words than scenes. We hypothesize that this occurs because schemas and words efficiently engage space-based attention, allowing for less costly computations. Here, participants completed a spatial cueing paradigm, and we calculated cue validity effects – how much faster participants responded to validly than invalidly cued locations – for each cue format. We pre-registered Experiment 1 and found significant cue validity effects with schemas and words, but not scenes, suggesting space-based attention was allocated more efficiently with schemas and words than scenes. In Experiment 2, we explicitly instructed participants to interpret the scenes from an egocentric perspective and found that this instruction manipulation still did not result in a significant cue validity effect with scenes. In Experiment 3, we investigated whether the differential effects between conditions were due to costly computations to extract spatial direction and found that increasing cue duration had no influence. In Experiment 4, significant cue validity effects were observed for orthogonal but not non-orthogonal spatial directions, suggesting space-based attention was allocated more efficiently when the spatial direction precisely matched the target location. These findings confirm our hypothesis that efficient allocation of space-based attention is guided by faster spatial direction comprehension. Altogether, this work suggests that schemas and words may be more effective supports than scenes for navigation performance in the real-world.

Publisher

Ubiquity Press, Ltd.

Reference45 articles.

1. Raincloud plots: A multi-platform tool for robust data visualization;Wellcome Open Research,2021

2. A method for quantifying visual field inhomogeneities;Vision Research,2014

3. Human social attention: A new look at past, present, and future investigations;Annals of the New York Academy of Sciences,2009

4. Coding of navigational affordances in the human visual system;Proceedings of the National Academy of Sciences,2017

5. Going to town: Visualized perspectives and navigation through virtual environments;Computers in Human Behavior,2012

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