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. Author manuscript; available in PMC: 2024 Apr 4.
Published in final edited form as: Behav Res Methods. 2023 Jun 8;56(3):1433–1448. doi: 10.3758/s13428-023-02101-9

Figure 1. Components of the infrastructure for web-based psychoacoustics.

Figure 1.

(A) Individual tasks were created using jsPsych, an open-source javascript front-end library. Dynamic sequences of psychoacoustic tasks were implemented using Django, an open-source library for web applications, and combined with consent pages, questionnaires, and debriefing pages. Subjects were recruited via Prolific.co, a platform for recruiting human subject for web-based studies. (B) A number of screening procedures were implemented to select participants for stereo headphone use, (putative) normal-hearing status, and attentive engagement via an entry study. Participants meeting criteria were re-invited to participate in the validation experiments using Prolific’s allowlist feature.