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Methods, Tools and Techniques for Trustworthy Autonomous Systems (TAS) Design and Development.

, , , , , and . EICS (Companion), page 66-69. ACM, (2022)

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Industry Led Use-Case Development for Human-Swarm Operations., , , , , , , , and . CoRR, (2022)Nudging through Friction: An Approach for Calibrating Trust in Explainable AI., , , , and . BESC, page 1-5. IEEE, (2021)Online Peer Support Groups for Behavior Change: Moderation Requirements., , , and . RCIS, volume 385 of Lecture Notes in Business Information Processing, page 157-173. Springer, (2020)Explainable Recommendations and Calibrated Trust: Two Systematic User Errors., , , , and . Computer, 54 (10): 28-37 (2021)How the different explanation classes impact trust calibration: The case of clinical decision support systems., , , and . Int. J. Hum. Comput. Stud., (2023)The Fine Line Between Persuasion and Digital Addiction., , , , and . PERSUASIVE, volume 12684 of Lecture Notes in Computer Science, page 289-307. Springer, (2021)Explainable recommendation: when design meets trust calibration., , , and . World Wide Web, 24 (5): 1857-1884 (2021)Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design., , and . EDUCON, page 901-905. IEEE, (2022)Outlining the design space of eXplainable swarm (xSwarm): experts perspective., , and . CoRR, (2023)The Effect of Data Visualisation Quality and Task Density on Human-Swarm Interaction., , , , , and . RO-MAN, page 1494-1501. IEEE, (2023)