TurkEyes: A Web-Based Toolbox for Crowdsourcing Attention Data

Eye movements provide insight into what parts of an image a viewer finds most salient, interesting, or relevant to the task at hand. Unfortunately, eye tracking data, a commonly-used proxy for attention, is cumbersome to collect. Here we explore an alternative: a comprehensive web-based toolbox for...

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Published inarXiv.org
Main Authors Newman, Anelise, McNamara, Barry, Fosco, Camilo, Yun Bin Zhang, Sukhum, Pat, Tancik, Matthew, Kim, Nam Wook, Bylinskii, Zoya
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 13.01.2020
Subjects
Annotations
Crowdsourcing
Eye movements
Viewing
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Summary:Eye movements provide insight into what parts of an image a viewer finds most salient, interesting, or relevant to the task at hand. Unfortunately, eye tracking data, a commonly-used proxy for attention, is cumbersome to collect. Here we explore an alternative: a comprehensive web-based toolbox for crowdsourcing visual attention. We draw from four main classes of attention-capturing methodologies in the literature. ZoomMaps is a novel "zoom-based" interface that captures viewing on a mobile phone. CodeCharts is a "self-reporting" methodology that records points of interest at precise viewing durations. ImportAnnots is an "annotation" tool for selecting important image regions, and "cursor-based" BubbleView lets viewers click to deblur a small area. We compare these methodologies using a common analysis framework in order to develop appropriate use cases for each interface. This toolbox and our analyses provide a blueprint for how to gather attention data at scale without an eye tracker.
ISSN:2331-8422