
Web-based psychoacoustics: Hearing screening, infrastructure, and validation
Medicina e TecnologiaResumo original em inglês
O que aconteceu
Anonymous web-based experiments are increasingly used in many domains of behavioral research. However, online studies of auditory perception, especially of psychoacoustic phenomena pertaining to low-level sensory processing, are challenging because of limited available control of the acoustics, and the inability to perform audiometry to confirm normal-hearing status of participants. Here, we outline our approach to mitigate these challenges and validate our procedures by comparing web-based measurements to lab-based data on a range of classic psychoacoustic tasks. 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, a subject recruitment platform for web-based studies. Guided by a meta-analysis of lab-based data, we developed and validated a screening procedure to select participants for (putative) normal-hearing status based on their responses in a suprathreshold task and a survey. Headphone use was standardized by supplementing procedures from prior literature with a binaural hearing task. Individuals meeting all criteria were re-invited to complete a range of classic psychoacoustic tasks. For the re-invited participants, absolute thresholds were in excellent agreement with lab-based data for fundamental frequency discrimination, gap detection, and sensitivity to interaural time delay and level difference. Furthermore, word identification scores, consonant confusion patterns, and co-modulation masking release effect also matched lab-based studies. Our results suggest that web-based psychoacoustics is a viable complement to lab-based research. Source code for our infrastructure is provided.
Resumo publicado sob licença CC BY. A tradução para o português ainda não chegou a este estudo.
O estudo original
Web-based psychoacoustics: Hearing screening, infrastructure, and validation
Brittany A Mok, Vibha Viswanathan, Agudemu Borjigin, Ravinderjit Singh, Homeira Kafi, Hari M Bharadwaj
Descritores MeSH
- Hearing
- Auditory Perception
- Auditory Threshold
- Humans
- Psychoacoustics
- Acoustic Stimulation
- Internet
- Audiometry
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