scholarly journals Communication system and team situation awareness in a multiplayer real-time learning environment: application to a virtual operating room

2017 ◽  
Vol 33 (4) ◽  
pp. 489-515 ◽  
Author(s):  
Catherine Pons Lelardeux ◽  
David Panzoli ◽  
Vincent Lubrano ◽  
Vincent Minville ◽  
Pierre Lagarrigue ◽  
...  
Author(s):  
Sarah Berger ◽  
Robert Henning

Communication System Cues (CSCs) were used to provide information to distributed action teams regarding the integrity of the communication system they relied upon for task work. The impact of CSCs on team performance and stress was evaluated both qualitatively and quantitatively. Fifty-nine dyadic teams of undergraduates performed three 10-min trials of a simulated firefighting task. Team members in separate sound-isolated rooms depended on microphones and headphones for all communications, and experienced 0, 2, and 4 s audio delays randomly within each trial. Qualitative findings indicated that some teams receiving CSCs took steps to mitigate the detrimental effects of delays, but quantitative analyses revealed this did not translate to improved performance or reduced stress. These results suggest that CSCs are something that distributed action teams are able to use, but further research is needed to determine how CSCs can be used more effectively and if their use benefits team situation awareness.


Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 556
Author(s):  
Lucia Lo Bello ◽  
Gaetano Patti ◽  
Giancarlo Vasta

The IEEE 802.1Q-2018 standard embeds in Ethernet bridges novel features that are very important for automated driving, such as the support for time-driven communications. However, cars move in a world where unpredictable events may occur and determine unforeseen situations. To properly react to such situations, the in-car communication system has to support event-driven transmissions with very low and bounded delays. This work provides the performance evaluation of EDSched, a traffic management scheme for IEEE 802.1Q bridges and end nodes that introduces explicit support for event-driven real-time traffic. EDSched works at the MAC layer and builds upon the mechanisms defined in the IEEE 802.1Q-2018 standard.


2021 ◽  
Vol 13 (8) ◽  
pp. 188
Author(s):  
Marianna Di Gregorio ◽  
Marco Romano ◽  
Monica Sebillo ◽  
Giuliana Vitiello ◽  
Angela Vozella

The use of Unmanned Aerial Systems, commonly called drones, is growing enormously today. Applications that can benefit from the use of fleets of drones and a related human–machine interface are emerging to ensure better performance and reliability. In particular, a fleet of drones can become a valuable tool for monitoring a wide area and transmitting relevant information to the ground control station. We present a human–machine interface for a Ground Control Station used to remotely operate a fleet of drones, in a collaborative setting, by a team of multiple operators. In such a collaborative setting, a major interface design challenge has been to maximize the Team Situation Awareness, shifting the focus from the individual operator to the entire group decision-makers. We were especially interested in testing the hypothesis that shared displays may improve the team situation awareness and hence the overall performance. The experimental study we present shows that there is no difference in performance between shared and non-shared displays. However, in trials when unexpected events occurred, teams using shared displays-maintained good performance whereas in teams using non-shared displays performance reduced. In particular, in case of unexpected situations, operators are able to safely bring more drones home, maintaining a higher level of team situational awareness.


Author(s):  
Yourui Tong ◽  
Bochen Jia ◽  
Yi Wang ◽  
Si Yang

To help automated vehicles learn surrounding environments via V2X communications, it is important to detect and transfer pedestrian situation awareness to the related vehicles. Based on the characteristics of pedestrians, a real-time algorithm was developed to detect pedestrian situation awareness. In the study, the heart rate variability (HRV) and phone position were used to understand the mental state and distractions of pedestrians. The HRV analysis was used to detect the fatigue and alert state of the pedestrian, and the phone position was used to define the phone distractions of the pedestrian. A Support Vector Machine algorithm was used to classify the pedestrian’s mental state. The results indicated a good performance with 86% prediction accuracy. The developed algorithm shows high applicability to detect the pedestrian’s situation awareness in real-time, which would further extend our understanding on V2X employment and automated vehicle design.


Author(s):  
Michael T. Brannick ◽  
Erica Lutrick ◽  
Carolyn Prince ◽  
Eduardo Salas

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