Wycisk, Y.; Kopiez, R.; Bergner, J.; Sander, K.; Preihs, S. et al.: The Headphone and Loudspeaker Test – Part I: Suggestions for controlling characteristics of playback devices in internet experiments. In: Behavior research methods : BRM 55 (2023), S. 1094–1107. DOI: https://doi.org/10.3758/s13428-022-01859-8
Abstract: | |
In internet experiments on auditory perception, playback devices may be a confounding variable reducing internal validity. A procedure to remotely test multiple characteristics of playback devices does not currently exist. Thus, the main goals of this study were to (i) develop and (ii) evaluate a comprehensive, efficient, and easy-to-handle test procedure for the reliable control and identification of playback device characteristics in online experiments. Based on a counting task paradigm, the first part of the Headphone and Loudspeaker Test (HALT–Part I) was developed with which researchers can standardize sound level adjustments, detect stereo/mono playback, and assess lower frequency limits. In a laboratory study (N = 40), HALT–Part I was evaluated with four playback devices (circumaural and intra-aural headphones; external and laptop loudspeakers). Beforehand, the acoustical properties of all playback devices had been measured (e.g., sound pressure level, frequency response, total harmonic distortion). The analysis suggested that HALT–Part I has high test–retest reliability (rtt =.90 for level adjustment and rtt =.79 for stereo/mono detection) and is an efficient (3.5 minutes for completion) method to remotely test playback devices and listening conditions (sound level, stereo/mono playback). The procedure can help improve data quality in internet experiments. © 2022, The Author(s). | |
License of this version: | CC BY 4.0 Unported |
Document Type: | Article |
Publishing status: | publishedVersion |
Issue Date: | 2022 |
Appears in Collections: | Fakultät für Elektrotechnik und Informatik |
pos. | country | downloads | ||
---|---|---|---|---|
total | perc. | |||
1 | Germany | 68 | 43.04% | |
2 | United States | 38 | 24.05% | |
3 | Russian Federation | 9 | 5.70% | |
4 | United Kingdom | 8 | 5.06% | |
5 | Czech Republic | 7 | 4.43% | |
6 | China | 7 | 4.43% | |
7 | Malta | 3 | 1.90% | |
8 | No geo information available | 2 | 1.27% | |
9 | Ukraine | 2 | 1.27% | |
10 | India | 2 | 1.27% | |
other countries | 12 | 7.59% |
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