What Paradigms Can Webcam Eye-Tracking Be Used For? Attempted Replications of Five Cognitive Science Experiments
- James, Ariel N;
- Ryskin, Rachel;
- Hartshorne, Joshua K;
- Backs, Haylee;
- Bala, Nandeeta;
- Barcenas-Meade, Laila;
- Bhattarai, Samata;
- Charles, Tessa;
- Copoulos, Gerasimos;
- Coss, Claire;
- Eisert, Alexander;
- Furuhashi, Elena;
- Ginell, Keara;
- Guttman-McCabe, Anna;
- Harrison, Emma Chaz;
- Hoban, Laura;
- Hwang, William A;
- Iannetta, Claire;
- Koenig, Kristen M;
- Lo, Chauncey;
- Palone, Victoria;
- Pepitone, Gina;
- Ritzau, Margaret;
- Sung, Yi Hua;
- Thompson, Lauren;
- de Leeuw, Joshua R
- Editor(s): Mathôt, Sebastiaan
Published Web Location
https://doi.org/10.1525/collabra.140755Abstract
Web-based data collection allows researchers to recruit large and diverse samples with fewer resources than lab-based studies require. Recent innovations have expanded the set of methodolgies that are possible online, but ongoing work is needed to test the suitability of web-based tools for various research paradigms. Here, we focus on webcam-based eye-tracking; we tested whether the results of five different eye-tracking experiments in the cognitive psychology literature would replicate in a webcam-based format. Specifically, we carried out five experiments by integrating two javascript-based tools: jsPsych and a modified version of Webgazer.js. In order to represent a wide range of applications of eye-tracking to cognitive psychology, we chose two psycholinguistic experiments, two memory experiments, and a decision-making experiment. These studies also varied in the type of eye-tracking display, including screens split into halves (Exps. 3 and 5) or quadrants (Exps. 2 and 4), or composed scenes with regions of interest that varied in size (Exp. 1). Outcomes were mixed. The least successful replication attempt was Exp. 1; we did not obtain a condition effect in our remote sample (1a), nor in an in-lab follow-up (1b). However, the other four experiments were more successful, replicating a blank-screen effect (Exp. 2), a novelty preference (Exp. 3), a verb bias effect (Exp. 4), and a gaze-bias effect in decision-making (Exp. 5). These results suggest that webcam-based eye-tracking can be used to detect a variety of cognitive phenomena, including those with sensitive time, although paradigms that require high spatial resolution (like Exp. 1) should be adapted to coarser quadrant or split-half displays.
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