Published: June 4, 2024
Language: Английский
Published: June 4, 2024
Language: Английский
Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 445 - 457
Published: Jan. 1, 2025
Language: Английский
Citations
0Radiotherapy and Oncology, Journal Year: 2024, Volume and Issue: 201, P. 110546 - 110546
Published: Sept. 24, 2024
Radiotherapy treatment planning is undergoing a transformation with the increasing integration of automation. This transition draws parallels aviation industry, which has long-standing history addressing challenges and opportunities introduced by automated systems. Both fields witness shift from manual operations to systems capable operating independently, raising questions about risks evolving role humans within workflows. In response this shift, working group assembled during ESTRO Physics Workshop 2023, reflected on draw lessons for radiotherapy. A taxonomy proposed, leveraging insights aviation, that outlines observed levels automation context radiotherapy their corresponding implications human involvement. Among common identified associated are complacency, overreliance, attention tunneling, data overload, lack transparency training. These require mitigation strategies. Such strategies include ensuring complementarity, introducing checklists safety requirements human-automation interaction using cognitive unload workflow management. Focusing already processes, such as dose calculation auto-contouring examples, we have translated learned aviation. It remains crucial strike balance between While offers potential increased efficiency accuracy, it must be complemented oversight, expertise, critical decision-making. The irreplaceable value judgment remains, particularly in complex clinical situations. Learning identify need factors engineering research radiation oncology continued requirement proactive incident learning.
Language: Английский
Citations
3Aircraft Engineering and Aerospace Technology, Journal Year: 2024, Volume and Issue: 96(7), P. 858 - 872
Published: July 4, 2024
Purpose This study aims to propose a methodology aimed at understanding the cognitive and physiological processes inherent in cadet pilot operations. Through analyzing responses from two pilots with varied experience levels across diverse simulation scenarios, research uses descriptive statistics, t -test, one-way ANOVA percentage change analysis explore crucial variables, including heart rate (HR), variability (HRV) respiratory (RR). Design/methodology/approach The investigation meticulously examines HR, HRV RR under circumstances encompassing resting state, visual flight rules instrument engine failure. Pilots undergo comprehensive analyses employing statistical techniques representations comprehend loads adaptations. Findings Significant disparities emerge between pilots, elucidating profound impact of on outcomes. Novice exhibit heightened during scenario transitions, while experienced demonstrate controlled responses, indicative adaptability. Visual simulations evoke distinct whereas instrument-based particularly those simulating emergencies, lead pronounced changes. Practical implications findings this hold practical significance introducing proposed novel for monitoring Cadet refine training protocols enhance aviation safety by illuminating interplay complexities. Originality/value proposes investigating operations, mainly pilots’ vital parameters through analytical methods an exploration scenario-specific demands.
Language: Английский
Citations
2International Journal of Aviation Science and Technology, Journal Year: 2024, Volume and Issue: vm05(is01), P. 53 - 74
Published: June 21, 2024
The development and implementation of the Urban Air Mobility transportation system, using electric vertical takeoff landing (e-VTOL) aircrafts are most promising solutions to mitigate growing congestion in big cities. multiple studies assumed forecasts indicate a transformation urban regional infrastructure while applying air mobility concept. This study analyzes feasibility UAM operations focused on selection service segmentation with relevant use cases, which allows for define suitable vehicle configurations optimization possible network Baku city suburban areas. result introduces features, including flight range, payload ratio, as well several aspects weather condition safe operations, outlines approaches defining regulatory framework requirements public departments. findings provide practical perspective planners involved single companies, may be useful guidelines at initial stages services obtaining significant information about e-VTOL aircraft their design overcome arising barriers processes.
Language: Английский
Citations
22019 Integrated Communications, Navigation and Surveillance Conference (ICNS), Journal Year: 2024, Volume and Issue: 9, P. 1 - 10
Published: April 23, 2024
The current study conducted by Mindset Technologies and Frequentis has validated a methodology to assess the influence of CHI design ATM applications on cognitive load air traffic controllers interacting with ATC communications systems. We examined impact fixations, saccades, blink rates duration controllers' eyes. collected data was then categorized in perceived load, subjective reports test personnel competency decision-making, usability, human error resilience among others. Two analyses were performed, one using gaze mind tracking method second determining via NASA task index (NASA-TLX) questionnaire. Both methods are valid for measuring conducting mental workload (MWL) assessment. paper describes testing methodology, setup experimental laboratory discusses results indicating that monitoring blinks saccades have higher sensitivity effects than rating (NASA-TLX).
Language: Английский
Citations
1Published: Nov. 23, 2023
This research investigates cognitive and physiological dynamics in UAV operators using ECG devices for comprehensive monitoring. By integrating diverse automation levels, operator expertise, measurements, nuanced interactions between technology emerge. Findings highlight the link complexity responses, evident heart rate profiles. enable real-time monitoring, revealing patterns aligned with varying levels. Manual control scenarios (Level 0) exhibit heightened variability, suggesting demand. Increasing leads to reduced variation, potentially mitigating load. Outcomes underscore automation's transformative impact on unmanned aviation, enhancing performance decision-making. integration bolsters empirical foundations, guiding interface design, training, operational protocols dynamic landscape.
Language: Английский
Citations
2Published: June 4, 2024
Language: Английский
Citations
0