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Joint agency in Human-Machine Interactions: How to design more cooperative agents ?

Abstract : System automation has steadily created a gap between the human operators and the loop of control (i.e., “out-of-the-loop” (OOTL) problem), disconnecting them from the machines’ actions and outcomes (Kaber, Onal, & Endsley, 2000). In this thesis, we aimed at investigating how to keep the human operators in the loop of control. We based our investigations on the theoretical framework of the science of agency. The sense of agency can be defined as the experience of controlling one’s own actions, and, through them, the events in the outside world (Haggard & Chambon, 2012). Interestingly, it has been shown that during human-human interactions, individuals could exhibit a sense of agency for other-generated actions and outcomes (or sense of “we-agency”) while such ability was impaired for machine-generated actions and outcomes (Obhi & Hall, 2011b). The first stage of the thesis sought to finely examine the cognitive processes underlying individuals’ loss of agency during joint tasks with automated artificial systems, both at the behavioral (Experiment 1) and at the cerebral (Experiment 2) levels. Using a joint Simon task coupled with an intentional binding task, we found that the ability to develop a sense of agency for other-generated action outcomes was in pace with the ability to represent other-generated actions into one own cognitive system, which were both impaired during human-machine interactions. The second stage of the thesis sought to investigate on which characteristics of the machine it was possible to act in order to regain the human operator’s sense of agency. Firstly, using a top-down approach, we found that humanoid machines could mitigate the loss of agency during joint tasks (Experiment 3). Secondly, using a bottom-up approach, we found that individuals’ sense of agency was sensitive to kinesthetic feedbacks (Experiment 4). Implications of our findings are discussed in regard with the literature on the sense of agency and the operational OOTL issue.
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  • HAL Id : tel-02437237, version 1

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Sahai Aisha. Joint agency in Human-Machine Interactions: How to design more cooperative agents ?. Engineering Sciences [physics]. UNIVERSITE PSL PARIS, 2019. English. ⟨tel-02437237v1⟩

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