Abstract
The sense of agency refers to the subjective feeling of controlling one’s own actions and, through them, external events. It is a crucial aspect of consciousness, indicating that an agent can understand the causal relationship between their actions and environmental changes and, more importantly, voluntarily influence the environment through their actions. There has been extensive debate about when children and which animals possess the sense of agency, primarily because they cannot easily report it. Observing actions might be a promising way to estimate the sense of agency without relying on introspection. However, despite actions containing rich information about human subjective feelings, there are very few ways to abstract such information. In the present study, we aim to clarify the relationship between actions and the sense of agency during control exploration using a dataset of 167 children (6-16 years old) acquired by Nobusako et al. (2022). We employ action plan analysis developed by Chang et al. (2024) to analyze motion sequences data which was self-generated by participants during a control detection task. The action plan analysis uses transformer-LSTM-based autoencoders to capture high-level, abstract representations of sequences of motor commands (referred to as action plans). This approach allows us to quantify action plan diversity that reflects control exploration behaviors. The results showed that action plan diversity can be a promising way to measure the sense of agency both within individuals and among them. This suggests that simply observing how actions change under different control conditions can quantitatively reflect the emergence of the sense of agency in children. The findings and methodology provide a highly novel and useful tool for studying the sense of agency in broader populations and species in future studies.
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