Online Data Collection in Auditory Perception and Cognition Research: Recruitment, Testing, Data Quality and Ethical Considerations

Eerola, Tuomas; Armitage, Jamés O.; Lavan, Nadine; Knight, Sarah

doi:10.1080/25742442.2021.2007718

Cited by 29 publications

(24 citation statements)

References 99 publications

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“…Yet, technological solutions were adopted to interview research participants via Zoom ( de Bruin ; Cohen and Ginsborg ; Fram et al ; MacDonald et al ; Morgan-Ellis ) and conduct experiments virtually during lockdown ( Harris and Cross ; Onderdijk , Swarbrick et al ; Simpson et al ) or physically prior to lockdown ( Belfi ). We expect that as more sophisticated tools become widely available, music researchers will become increasingly better equipped to collect not only survey data but also valid experimental and interview data online (Honing and Ladinig, 2008 ; Eerola et al, 2021 ; Anglada-Tort et al, 2022 ). The variety of methods by which the creation and consumption of new virtual formats and repertoires were already investigated in this Research Topic paves a useful pathway for future researchers interested in other pertinent music-related topics.…”

Section: The Pandemic Music Research Landscapementioning

confidence: 99%

Editorial: Social Convergence in Times of Spatial Distancing: The Role of Music During the COVID-19 Pandemic

2022

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Section: The Pandemic Music Research Landscapementioning

confidence: 99%

Editorial: Social Convergence in Times of Spatial Distancing: The Role of Music During the COVID-19 Pandemic

2022

View full text Add to dashboard Cite

“…Associated challenges could include greater differences in baseline task performance, reduction in effect size, and poor test-retest reliability. When possible and practical, including conditions that replicate a similar participant sample previously collected from in-laboratory testing can serve as controls for validation (Eerola et al, 2021).…”

Section: E Data Management Handling and Analysismentioning

confidence: 99%

FORUM: Remote testing for psychological and physiological acoustics

Peng

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Bharadwaj

et al. 2022

The Journal of the Acoustical Society of America

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Acoustics research involving human participants typically takes place in specialized laboratory settings. Listening studies, for example, may present controlled sounds using calibrated transducers in sound-attenuating or anechoic chambers. In contrast, remote testing takes place outside of the laboratory in everyday settings (e.g., participants' homes). Remote testing could provide greater access to participants, larger sample sizes, and opportunities to characterize performance in typical listening environments at the cost of reduced control of environmental conditions, less precise calibration, and inconsistency in attentional state and/or response behaviors from relatively smaller sample sizes and unintuitive experimental tasks. The Acoustical Society of America Technical Committee on Psychological and Physiological Acoustics launched the Task Force on Remote Testing ( https://tcppasa.org/remotetesting/ ) in May 2020 with goals of surveying approaches and platforms available to support remote testing and identifying challenges and considerations for prospective investigators. The results of this task force survey were made available online in the form of a set of Wiki pages and summarized in this report. This report outlines the state-of-the-art of remote testing in auditory-related research as of August 2021, which is based on the Wiki and a literature search of papers published in this area since 2020, and provides three case studies to demonstrate feasibility during practice.

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“…• Inspired on work by Kim et al (2008), Aljanaki et al (2016), Eerola et al (2021), and Honing (2021), we propose a citizen science approach by engaging music enthusiasts (see step 2, Fig. 1): we provide music training on the musical properties of emotion and incentivize listeners with personalized recommendations for discovery of non-Western music (in fact, music from the Global South).…”

Section: Contributionsmentioning

confidence: 99%

TROMPA-MER: an open dataset for personalized music emotion recognition

et al. 2022

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We present a platform and a dataset to help research on Music Emotion Recognition (MER). We developed the Music Enthusiasts platform aiming to improve the gathering and analysis of the so-called “ground truth” needed as input to MER systems. Firstly, our platform involves engaging participants using citizen science strategies and generate music emotion annotations – the platform presents didactic information and musical recommendations as incentivization, and collects data regarding demographics, mood, and language from each participant. Participants annotated each music excerpt with single free-text emotion words (in native language), distinct forced-choice emotion categories, preference, and familiarity. Additionally, participants stated the reasons for each annotation – including those distinctive of emotion perception and emotion induction. Secondly, our dataset was created for personalized MER and contains information from 181 participants, 4721 annotations, and 1161 music excerpts. To showcase the use of the dataset, we present a methodology for personalization of MER models based on active learning. The experiments show evidence that using the judgment of the crowd as prior knowledge for active learning allows for more effective personalization of MER systems for this particular dataset. Our dataset is publicly available and we invite researchers to use it for testing MER systems.

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Online Data Collection in Auditory Perception and Cognition Research: Recruitment, Testing, Data Quality and Ethical Considerations

Cited by 29 publications

References 99 publications

Editorial: Social Convergence in Times of Spatial Distancing: The Role of Music During the COVID-19 Pandemic

Editorial: Social Convergence in Times of Spatial Distancing: The Role of Music During the COVID-19 Pandemic

FORUM: Remote testing for psychological and physiological acoustics

TROMPA-MER: an open dataset for personalized music emotion recognition

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