This study investigated the relationship between trust in automation, gaze behavior, and driving performance in beginner and experienced drivers during a simulated driving session. Twenty participants completed a 17-minute drive across three conditions: manual driving, non-critical automated driving, and critical automated driving, with a non-driving-related task (NDRT) introduced between conditions to assess visual attention. Driving performance was evaluated using the Standard Deviation of Lateral Position (SDLP), and eye-tracking data in terms of mean gaze duration (MGD). While both groups demonstrated increased trust in the automated system post-session, beginners showed greater lateral position variability in critical conditions, suggesting over-reliance on automation. Eye-tracking analysis revealed significant changes in glance behavior across driving conditions, particularly in response to critical events. These findings highlight how driver experience shapes interactions with automated systems, emphasizing the importance of trust calibration in automated driving scenarios.

Augmented reality (AR) presents a variety of possibilities for industrial maintenance. However, the development of real-world AR solutions has been limited due to the technological capabilities and uncertainty with respect to safety at deployment. We introduce the approach of using AR simulation in virtual reality (VR) coupled with gaze tracking to enable resource-efficient AR development. We tested in-field AR guidance and safety awareness features in an iterative development-evaluation process with experts from the elevator maintenance industry. We further conducted a survey, utilizing actual gaze data from the evaluation to elicit comments from industry experts on the usefulness of AR simulation and gaze tracking. Our results show the potential of AR within VR approach combined with gaze tracking. With this framework, AR solutions can be iteratively and safely tested without actual implementation, while gaze data provide advanced objective means to evaluate the designed AR content, documentation usage, and safety awareness.

360° videos can be viewed in an immersive manner with a head-mounted display (HMD). However, it is unclear how the viewing experience is affected by basic properties of 360° videos, such as how high they are recorded from, and whether there are people close to the camera. We conducted a 24-participant user study where we explored whether the viewing experience is affected by A) camera height, B) the proximity and actions of people appearing in the videos, and C) viewer position (standing/sitting). The results, surprisingly, suggest that the viewer's own height has little to no effect on the preferred camera height and the experience. The most optimal camera height situates at around 150 centimeters, which hits the comfortable height range for both sitting and standing viewers. Moreover, in some cases, people being close to the camera, or the camera being very low, has a negative effect on the experience. Our work contributes to understanding and designing immersive 360° experiences.