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This paper introduces HAT-TIME, a novel test environment for assessing human-automated teaming (HAT) interactions in control tasks such as driving, flying, and human-robot collaboration. By providing a standardized environment, HAT-TIME aims to address cross-study comparison challenges that have interfered with the potential to make comparisons between HAT concepts, and distinguish operator states amid interrelated factors like trust, workload, and fatigue. The paper outlines the HAT-TIME environmental and automation agent parameter manipulations, which are validated through an experiment with 15 participants. Findings highlight a potential automation calibration and surprise protocol, revealing key similarities and differences between subjective workload and automation trust. Future HAT-TIME developments and research will explore its application in examining variations across HAT interaction concepts (e.g., shared vs. traded control) and its role in advancing neuroergonomic studies of automation interaction.

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HAT-TIME: Human Automation Teaming - Trust Interaction Measurement Environment

  • 会议论文

  • 发表日期：

    2026年

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  • James Blundell,
  • Christopher Burns,
  • Jaume Perello March

摘要

This paper introduces HAT-TIME, a novel test environment for assessing human-automated teaming (HAT) interactions in control tasks such as driving, flying, and human-robot collaboration. By providing a standardized environment, HAT-TIME aims to address cross-study comparison challenges that have interfered with the potential to make comparisons between HAT concepts, and distinguish operator states amid interrelated factors like trust, workload, and fatigue. The paper outlines the HAT-TIME environmental and automation agent parameter manipulations, which are validated through an experiment with 15 participants. Findings highlight a potential automation calibration and surprise protocol, revealing key similarities and differences between subjective workload and automation trust. Future HAT-TIME developments and research will explore its application in examining variations across HAT interaction concepts (e.g., shared vs. traded control) and its role in advancing neuroergonomic studies of automation interaction.