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        <identifier>oai:figshare.com:article/34020550</identifier>
        <datestamp>2026-09-29T02:41:22Z</datestamp>
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          <dc:title>Towards human-centric construction automation: an SA-STAMP framework for safe human–autonomy teaming</dc:title>
          <dc:creator>Shanjing (Alexander) Zhou (25133818)</dc:creator>
          <dc:creator>Mikela Chatzimichailidou (25133821)</dc:creator>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Information Systems not elsewhere classified</dc:subject>
          <dc:subject>Science Policy</dc:subject>
          <dc:subject>Automation</dc:subject>
          <dc:subject>modular construction</dc:subject>
          <dc:subject>safety</dc:subject>
          <dc:subject>situation awareness</dc:subject>
          <dc:subject>STAMP</dc:subject>
          <dc:subject>STPA</dc:subject>
          <dc:description>&lt;p&gt;Automation in construction is frequently proposed to improve safety, yet systems-level requirements for human–automation interfaces remain underexplored. Conventional Job Hazard Analysis (JHA) and current automation studies often fail to address the socio-technical complexities of the worksite, frequently dismissing accidents as isolated ‘human error’. To bridge this gap, this paper presents a context-aware automation design framework that combines Situation Awareness (SA) with the System-Theoretic Accident Model and Processes (STAMP) to safely facilitate Human–Autonomy Teaming (HAT) in heavy modular lifting. Going beyond existing Systems-Theoretic Process Analysis (STPA) applications, the proposed SA-STAMP framework directly integrates real-world site conditions into the system's control structure. Rather than treating these factors as external operator failures, the framework addresses them as systemic flaws requiring robust feedback loops, defined authority boundaries, and intuitive interface designs. By condensing a detailed modular lifting case study, the paper demonstrates how adaptive SA mechanisms can enforce machine-readable safety constraints during lift planning and execution. Ultimately, this framework translates the concept of safety as an emergent system property into actionable guidelines for sensing, decision support, and authority allocation, laying the groundwork for scalable, resilient safety-by-design in technology-enabled construction environments.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-29T02:41:22Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.34020550.v1</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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