On the measurability of consciousness.

A new framework for measuring consciousness is proposed, drawing on consciousness theories and engineering concepts like measurement workflow, problem space analysis, and observability. It introduces measurability criteria and applies them to various use cases, assessing whether current theories and technologies can measure consciousness attributes in those contexts. The framework is intended to help researchers and engineers determine the feasibility of developing a consciousness measurement system for specific applications.

Study at a glance

Abstract

With the recent advances in neuroscience and brain scanning technologies, there is an increased interest in the measurement problem of consciousness (MPC). The development of a consciousness measurement system (CMS) is still in its infancy without a formal framework and established design approach. This article presents a novel consciousness measurement framework based on consciousness theories and engineering concepts such as measurement workflow, problem space analysis, and observability. The framework proposes measurability criteria, applies them to different use cases, and identifies whether existing theories and technologies can measure consciousness attributes for specific use cases. Researchers and engineers can use this framework to determine the feasibility of CMS for individual use cases.