Webcam-based online eye-tracking for behavioral research
نویسندگان
چکیده
Abstract Experiments are increasingly moving online. This poses a major challenge for researchers who rely on in-lab techniques such as eye-tracking. Researchers in computer science have developed web-based eye-tracking applications (WebGazer; Papoutsaki et al., 2016) but they yet to see them used behavioral research. is likely due the extensive calibration and validation procedure, inconsistent temporal resolution (Semmelmann & Weigelt, 2018), of integrating it into experimental software. Here, we incorporate WebGazer JavaScript library widely by (jsPsych) adjust procedure code reduce calibration/validation improve (from 100–1000 ms 20–30 ms). We test this with decision-making study Amazon MTurk, replicating previous findings relationship between gaze choice, little degradation spatial or resolution. provides evidence that online feasible
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ژورنال
عنوان ژورنال: Judgment and Decision Making
سال: 2021
ISSN: ['1930-2975']
DOI: https://doi.org/10.1017/s1930297500008512