TY - JOUR
T1 - Investigating the impact of context and environment on driver’s situation awareness
AU - Xing, Yilun
AU - Park, Sami
AU - Akash, Kumar
AU - Wu, Xingwei
AU - Misu, Teruhisa
AU - Boyle, Linda Ng
N1 - Publisher Copyright:
© 2022 by Human Factors and Ergonomics Society. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The objective of this study is to assess drivers’ ability to detect objects and the trajectory of these objects in scenarios with different environmental complexity levels. This is examined in the context of situation awareness (SA), defined as the perception, comprehension and projection of the environmental properties and positions. The Situation Awareness Global Assessment Technique (SAGAT) was used in a video-based driving simulation study, where participants were asked to mark all objects in the order of perceived risk and select the corresponding object type. This provided spatially continuous SA responses for the objects of interest (i.e., pedestrians, cars and cyclists). The findings showed that object type and size, visual complexity, number of objects and roadway type had a significant impact on the operator’s ability to perceive objects as well as to project the object trajectories. The results provide us some insights in choosing predictors besides eye-tracking data for SA predictive model.
AB - The objective of this study is to assess drivers’ ability to detect objects and the trajectory of these objects in scenarios with different environmental complexity levels. This is examined in the context of situation awareness (SA), defined as the perception, comprehension and projection of the environmental properties and positions. The Situation Awareness Global Assessment Technique (SAGAT) was used in a video-based driving simulation study, where participants were asked to mark all objects in the order of perceived risk and select the corresponding object type. This provided spatially continuous SA responses for the objects of interest (i.e., pedestrians, cars and cyclists). The findings showed that object type and size, visual complexity, number of objects and roadway type had a significant impact on the operator’s ability to perceive objects as well as to project the object trajectories. The results provide us some insights in choosing predictors besides eye-tracking data for SA predictive model.
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U2 - 10.1177/1071181322661317
DO - 10.1177/1071181322661317
M3 - Conference article
AN - SCOPUS:85201864077
SN - 1071-1813
VL - 66
SP - 335
EP - 339
JO - Proceedings of the Human Factors and Ergonomics Society
JF - Proceedings of the Human Factors and Ergonomics Society
IS - 1
T2 - 66th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2022
Y2 - 10 October 2022 through 14 October 2022
ER -