Unbiased individual unconsciousness: Rationale, replication and developing applications

•Unbiased individual unconsciousness enables a researcher to apply subjective thresholds for backward masking.•It utilizes Bayesian analysis to explore the durations that provide evidence for chance-level perceptual performance.•Psychophysiological and self-report responses to these individually adj...

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Bibliographic Details
Published in:Current research in behavioral sciences 2023, Vol.4, p.100109, Article 100109
Main Authors: Tsikandilakis, Myron, Bali, Persefoni, Karlis, Alexander, Mével, Pierre-Alexis, Madan, Christopher, Derrfuss, Jan, Milbank, Alison
Format: Article
Language:English
Subjects:
Individual
Methodology
Subjective
Unbiased
Unconscious
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Summary:•Unbiased individual unconsciousness enables a researcher to apply subjective thresholds for backward masking.•It utilizes Bayesian analysis to explore the durations that provide evidence for chance-level perceptual performance.•Psychophysiological and self-report responses to these individually adjusted thresholds are measured.•Following the demand for the replication parameters of this method, we present in this manuscript a dedicated review. Unbiased individual unconsciousness is a methodology that involves non-parametric receiver operating characteristics and Bayesian analyses and can enable a researcher to define subjective thresholds for visual suppression. It can enable a researcher to define among brief durations (e.g., 8.33 or 16.67 or 25 ms), per participant and elicitor type, the threshold of presentation for which each participant is individually unconscious during masking. The outcomes of this method are then used in a subsequent experimental session that involves psychophysiological assessments and participant ratings to explore evidence for unconscious processing and emotional responsivity. Following collegial requests for a dedicated manuscript on the rationale and replication of this method, in this manuscript, we provide a thorough, comprehensive and reader-friendly manual for this methodology. We include empirical illustrations, open-source and ready-to-use methodological, mathematical and statistical coding scripts and step-by-step instructions for replicating key parts or the entire method. We discuss the potential contributions and the developing applications of individual metrics for unconsciousness.
ISSN:2666-5182
2666-5182
DOI:10.1016/j.crbeha.2023.100109