Development and evaluation of a human machine interface to support mode awareness in different automated driving modes

Tinga, Angelica M.; Zeumeren, Ilse  M. van; Christoph, Michiel; Cleij, Diane; Nes, Nicole van

doi:10.1016/j.trf.2022.10.023

Cited by 5 publications

(2 citation statements)

References 51 publications

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“…Training should include understanding the system, practicing operating procedures, and troubleshooting. Indeed, users need to understand how the system works and how to interact with it to effectively use its functionalities (Merriman et al 2021), which is also linked to the understanding of the Human Machine Interface (HMI), and the operator's confidence in it (Tinga et al 2023).…”

Section: Human Performance In the Automated Environmentmentioning

confidence: 99%

“…The fields of human reliability analysis (HRA) and human factors (HF) have been discussing how more automated systems impact human performance and human error (Bye 2023;Theophilus et al 2017;Tinga et al 2023). In this context, authors have pointed the potential impact of boredom arising from long monitoring times, over-reliance or under-reliance on automation, lack of situation assessment, and low automation transparency (Boring et al 2019;Park et al 2022).…”

Section: Introductionmentioning

confidence: 99%

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Experimental Set-Up for Evaluating Operator Performance through Operations Control Room Simulation in the Oil and Gas Industry

Ramos,

Maiora

et al. 2023

Proceeding of the 33rd European Safety and Reliability Conference

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Automation in the oil and gas industries has increased over the years. Nonetheless, human input still plays a critical role in the operation of process plants, where automation does not completely replace humans but rather provides new ways for operators to interact with the system. Some ways of accessing human performance are through human reliability analysis and human factors studies. Both disciplines have been discussing human performance in automated systems and issues are pointed out in recent literature, particularly in the development and evaluation of Human Machine Interface (HMI) in different automation modes. In addition, a way of evaluating human performance is through experiments/simulations. Therefore, we propose an experimental set-up to observe human performance in automated systems through simulation in an operations control room. In this experimental setup, some errors are assessed through human factors. Also, we recommend an artificial intelligence model using webcam information to detect inattention to monitoring.

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Section: Human Performance In the Automated Environmentmentioning

confidence: 99%