In swarm robotics, agents interact through local roles to solve complex tasks beyond an individual’s ability. Even though swarms are capable of carrying out some operations without the need for human intervention, many safety-critical applications still call for human operators to control and monitor the swarm. There are novel challenges to effective Human-Swarm Interaction (HSI) that are only beginning to be addressed. Explainability is one factor that can facilitate effective and trustworthy HSI and improves the overall performance of Human-Swarm team. Explainability was studied across various Human-AI domains, such as Human-Robot Interaction and Human-Centered ML. However, it is still ambiguous whether explanations studied in Human-AI literature would be beneficial in Human-Swarm research and development. Furthermore, the literature lacks foundational research on the prerequisites for explainability requirements in swarm robotics, i.e., what kind of questions an explainable swarm is expected to answer, and what types of explanations a swarm is expected to generate. By surveying 26 swarm experts, we seek to answer these questions and identify challenges experts faced to generate explanations in Human-Swarm environments. Our work contributes insights into defining a new area of research of eXplainable Swarm (xSwarm) which looks at how explainability can be implemented and developed in swarm systems. This paper opens discussion on xSwarm and paves the way for more research in the field.


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    Titel :

    Outlining the Design Space of eXplainable Swarm (xSwarm): Experts’ Perspective


    Weitere Titelangaben:

    Springer Proceedings in Advanced Robotics


    Beteiligte:
    Bourgeois, Julien (Herausgeber:in) / Paik, Jamie (Herausgeber:in) / Piranda, Benoît (Herausgeber:in) / Werfel, Justin (Herausgeber:in) / Hauert, Sabine (Herausgeber:in) / Pierson, Alyssa (Herausgeber:in) / Hamann, Heiko (Herausgeber:in) / Lam, Tin Lun (Herausgeber:in) / Matsuno, Fumitoshi (Herausgeber:in) / Mehr, Negar (Herausgeber:in)

    Kongress:

    International Symposium on Distributed Autonomous Robotic Systems ; 2022 ; Montbéliard, France November 28, 2022 - November 30, 2022



    Erscheinungsdatum :

    01.02.2024


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch