words)Operators of highly automated driving systems may exhibit behaviour characteristic for overtrust issues due to an insufficient awareness of automation fallibility. Consequently, situation awareness in critical situations is reduced and safe driving performance following emergency takeovers is impeded. A driving simulator study was used to assess the impact of dynamically communicating system uncertainties on monitoring, trust, workload, takeovers, and physiological responses. The uncertainty information was conveyed visually using a stylised heart beat combined with a numerical display and users were engaged in a visual search task.Multilevel analysis results suggest that uncertainty communication helps operators calibrate their trust and gain situation awareness prior to critical situations, resulting in safer takeovers.Additionally, eye tracking data indicate that operators can adjust their gaze behaviour in correspondence with the level of uncertainty. However, conveying uncertainties using a visual display significantly increases operator workload and impedes users in the execution of nondriving related tasks. Keywords: vehicle ergonomics; attitudes and behaviour; attention and vigilance; humancomputer-interaction; information displaysPractitioner summary (50 words): This paper illustrates how the communication of system uncertainty information helps operators calibrate their trust in automation and, consequently, gain situation awareness. Multilevel analysis results of a driving simulator study affirm the benefits for trust calibration and highlight that operators adjust their behaviour according to multiple uncertainty levels.

No abstract

No abstract

No abstract

<p><strong>Abstract.</strong> The 3D digitisation of precious or delicate cultural heritage artefacts via photogrammetry is highly important for historical preservation purposes. Doing so can help mitigate against events such as natural disasters, war, and tourism damage, whilst enabling access to 3D data for researchers around the globe. While the digitisation of such artefacts offer many significant societal and academic benefits, the process in which data is captured is resource intensive and often results in inaccurate outcomes. This paper presents a novel small object scanner which automates the photogrammetry image acquisition process for the highly detailed and efficient 3D digitisation of cultural heritage artefacts across large museum collections.</p>