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Multidimensional Analysis of Sense of Agency During Goal Pursuit

, , , , and . Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 34-47. ACM, (July 2022)
DOI: 10.1145/3503252.3531303

Abstract

Sense of agency (SoA) is the subjective experience that one’s own volitional action caused an event to happen. This experience has cast light to understanding fundamental aspects of human behavior, which includes regulating actions during goal pursuit. Due to its many facets, investigating SoA has proved to be a strong challenge, compelling theorists and experimentalists to develop various paradigms to analyze it. While investigations on SoA have primarily focused on simple tasks that probe basic self-agency capacity awareness, and were carried out mostly under controlled laboratory settings over short experiment durations, we investigated this feeling of control in a complex, natural setting where participants performed daily their goal-directed tasks. More importantly, however, we investigated the SoA construct in a multidimensional way, i.e., simultaneously investigating its pre-reflective and reflective, local and general, and dynamic nature, as well as how individual differences moderated its influence on goal pursuit. We collected over 5,000 data points from 43 participants on their daily perceptions of self-agency and pursuance of healthy eating for more than a month outside the confines of a lab using a smartphone app that we designed. We present our analyses and insights that emerged from our empirical results on how the many facets of SoA impacted in various ways the pursuance of the goal. To our knowledge, we are the first to study the SoA construct in this manner, and we posit our method can be used for an intelligent system to enhance a human counterpart’s SoA for self-driven persuasion to follow through the goal.

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Multidimensional Analysis of Sense of Agency During Goal Pursuit | Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization

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