Do Time Constraints Re-Prioritize Attention to Shapes During Visual Photo Inspection?

TL;DR

This study investigates how time constraints influence the focus on shapes during visual photo inspection, revealing variations in attention patterns across individuals and image types through crowdsourced data.

Contribution

Introduces a novel data collection method to measure shape-focused attention under different time constraints in visual inspection tasks.

Findings

Attention to shapes varies with time constraints.

Individual differences affect shape prioritization.

Image type influences attention patterns.

Abstract

People's visual experiences of the world are easy to carve up and examine along natural language boundaries, e.g., by category labels, attribute labels, etc. However, it is more difficult to elicit detailed visuospatial information about what a person attends to, e.g., the specific shape of a tree. Paying attention to the shapes of things not only feeds into well defined tasks like visual category learning, but it is also what enables us to differentiate similarly named objects and to take on creative visual pursuits, like poetically describing the shape of a thing, or finding shapes in the clouds or stars. We use a new data collection method that elicits people's prioritized attention to shapes during visual photo inspection by asking them to trace important parts of the image under varying time constraints. Using data collected via crowdsourcing over a set of 187 photographs, we examine changes in patterns of visual attention across individuals, across image types, and across time constraints.