- אירוע כבר עבר.
Two Studies on the Relationship Between Situation Awareness and Driver Behavior
נובמבר 19, 2019 @ 12:00 pm - 1:00 pm
Speaker: Dr. Assaf Botzer, Department of Industrial Engineering and Management, Ariel University
Time: 12:00 – 13:00
Place: Building #3A, lower conference room, floor 2 (floor 1 in the elevator), Ariel University, Ariel
Situation awareness is an understanding of the state of the world and how it might develop. I will present two studies on the relationship between situation awareness and driver performance.
In the first study, we tested the relationship between hazard perception ability – also defined as situation awareness on the road, and the proportion of hard braking events. Usually, hard braking events are considered to emanate from careless or aggressive driving and employee drivers might be criticized if their reports show a relatively large number of such events. We used a smartphone application to monitor drivers for three weeks and found that their proportion of hard braking events correlated with their score on a hazard perception test. Thus, hard braking events might be associated with skill and not only with careless or aggressive driving.
In the second study, we tested the relationship between drivers’ level of engagement in a non-driving task and their performance when taking control of a conditionally automated vehicle. Drivers of conditionally automated vehicles may occasionally be requested to take control of the vehicle if the automation cannot negotiate the road situation (e.g., missing lane markings, heavy weather conditions). However, their road situation awareness might be lacking, and especially if they were engaged in a non-driving task before the take-over request (TOR). We conducted a simulated study in which drivers of a conditionally automated vehicle that played a video game on a tablet during the automated driving needed to take control of the vehicle. We found that their response times after the TOR correlated with measures of engagement in the game. Namely, the longer that they gazed at the tablet during the automated driving and the shorter the pauses that they took between game sessions the longer it took them to override the automation and to start a road maneuver. Therefore, we recommend that measures of engagement in non-driving tasks will be used to determine the timing of TORs so that more distracted drivers would receive the TOR sooner.
Assaf Botzer is a researcher in Human Factors in the Department of Industrial Engineering and Management at Ariel University. He specializes in user mental workload, decision making, and performance when using technology and in designing naturalistic driving studies (NDS) to investigate the relationship between drivers’ states and characteristics and their responses during driving.