What Paradigms Can Webcam Eye-Tracking Be Used For? Attempted Replications of Five Cognitive Science Experiments
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.
Authors
- Lauren Thompson (ORCID: https://orcid.org/0000-0002-6455-4980)
- William Ying Khee Hwang (ORCID: https://orcid.org/0000-0003-0143-6263)
- Joshua K. Hartshorne (ORCID: https://orcid.org/0000-0003-1240-3598)
- Keara Ginell (ORCID: https://orcid.org/0000-0001-6928-1080)
- Laura Hoban
- Joshua R. de Leeuw (ORCID: https://orcid.org/0000-0003-4815-2364)
- Ariel N. James (ORCID: https://orcid.org/0000-0003-2859-7796)
- Kristen M. Koenig (ORCID: https://orcid.org/0000-0001-6093-2262)
- Nandeeta Bala (ORCID: https://orcid.org/0000-0002-9984-1285)
- Clive Lo
- Rachel Ryskin (ORCID: https://orcid.org/0000-0002-9516-4467)
- Emma Harrison (ORCID: https://orcid.org/0000-0002-0383-6538)
- Tessa Charles
- Y. Sung
- Alexander Eisert
- Claire Coss
- Elena Furuhashi
- Anna Guttman-McCabe
- Claire Iannetta
- Victoria Palone
- Gina Pepitone
- Margaret Ritzau
- Haylee Backs
- Laila Barcenas-Meade
- Samata Bhattarai
- Gerasimos Copoulos
Institutions
- Vassar College (US)
- University of California, Merced (US)
- MGH Institute of Health Professions (US)
- Macalester College (US)
Publication Details
- Journal
- Collabra Psychology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1525/collabra.140755
- Citations
- 1
- Primary Topic
- Cognitive Science and Mapping
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- National Science Foundation
- Vassar College