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How to operationalise consciousness

Glenn Carruthers, Sidney Carls-Diamante, Linus Ta-Lun Huang, Melanie G. Rosen, Elizabeth Schier

Australian Journal of Psychology November 15, 2019 DOI: 10.1111/ajpy.12264 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Review Peer reviewed
Keywords Consciousness Cognitive psychology Cognitive science Epistemology
Citations 9
Key findings Argues that report-based operationalisations of consciousness are limited, especially for dreams and non-human animals like octopuses, and proposes two non-report-based measures: one combining quality space descriptions with a "neural activation space," and a novel "match to target" approach. Concludes that consciousness is multi-faceted and requires varied operationalisations.

Abstract

ObjectiveTo review the way consciousness is operationalised in contemporary research, discuss strengths and weaknesses of current approaches and propose new measures.MethodWe first reviewed the literature pertaining to the phenomenal character of visual and self‐consciousness as well as awareness of visual stimuli. We also reviewed more problematic cases of dreams and animal consciousness, specifically that of octopuses.ResultsDespite controversies, work in visual and self‐consciousness is highly developed and there are notable successes. Cases where experiences are not induced, such as dreams, and where no verbal report is possible, such as when we study purported experiences of octopuses, are more challenging. It is difficult to be confident about the reliability and validity of operationalisations of dreams. Although this is a general concern about the measuring consciousness, it is not a sufficiently severe concern to completely undermine the work reviewed on vision and self‐consciousness. It is more difficult to see how the good work on human psychology can be applied to non‐human animals, especially those with radically different nervous systems, such as octopuses. Given the limitations of report‐based operationalisations of consciousness, it is desirable to develop non‐report‐based measures, particularly for phenomenal qualities. We examine a number of possibilities and offer two possible approaches of varying degrees of practicality, the first based on combining quality space descriptions of phenomenal qualities and the notion of a “neural activation space” inherited from connectionist A.I., the second being a novel match to target approach.ConclusionConsciousness is a multi‐faceted phenomenon and requires a variety of operationalisations to be studied.