The Static Analysis of Visual Scanning using HDM-VR Driving Simulator

2021 ◽  
Vol 19 (9) ◽  
pp. 133-140
Author(s):  
Ji-Yong Chung ◽  
Hyeok-Min Lee ◽  
Seung–Jae Noh ◽  
Eung-Hyuk Lee
Author(s):  
Laura Mikula ◽  
Sergio Mejía-Romero ◽  
Romain Chaumillon ◽  
Amigale Patoine ◽  
Eduardo Lugo ◽  
...  

AbstractDriving is an everyday task involving a complex interaction between visual and cognitive processes. As such, an increase in the cognitive and/or visual demands can lead to a mental overload which can be detrimental for driving safety. Compiling evidence suggest that eye and head movements are relevant indicators of visuo-cognitive demands and attention allocation. This study aims to investigate the effects of visual degradation on eye-head coordination as well as visual scanning behavior during a highly demanding task in a driving simulator. A total of 21 emmetropic participants (21 to 34 years old) performed dual-task driving in which they were asked to maintain a constant speed on a highway while completing a visual search and detection task on a navigation device. Participants did the experiment with optimal vision and with contact lenses that introduced a visual perturbation (myopic defocus). The results indicate modifications of eye-head coordination and the dynamics of visual scanning in response to the visual perturbation induced. More specifically, the head was more involved in horizontal gaze shifts when the visual needs were not met. Furthermore, the evaluation of visual scanning dynamics, based on time-based entropy which measures the complexity and randomness of scanpaths, revealed that eye and gaze movements became less explorative and more stereotyped when vision was not optimal. These results provide evidence for a reorganization of both eye and head movements in response to increasing visual-cognitive demands during a driving task. Altogether, these findings suggest that eye and head movements can provide relevant information about visuo-cognitive demands associated with complex tasks. Ultimately, eye-head coordination and visual scanning dynamics may be good candidates to estimate drivers’ workload and better characterize risky driving behavior.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S343-S344
Author(s):  
Anne E Dickerson ◽  
Rachel Gartz ◽  
Megan Eaker ◽  
Brittany Clark

Abstract This study explored age differences and scanning strategies for critical events using a driving simulator with eye-tracking technology. One critical skill in driving is to efficiently scan the environment. Ten young(M=26y) and 10 old(M=65y) healthy adults drove a wearing Tobii-Pro Glasses. The software analyzes areas of interest (AOI) for “percent time of fixation” as well as illustrative “heat maps” of duration of fixation. At a four-way-stop, the young fixated at the road ahead (25% fixation time), dashboard (29%), more often than left/right of their car (15%). The old fixed on the road ahead (21%) but spent more time outside the car (23%). At the hidden sign, older drivers fixated on the environment outside the road ahead more than younger drivers (26% versus 20%), but both had increased fixation to the right side of the vehicle (Y-23%, O-24%) with this event, likely looking for the sign. Heat maps of the hidden sign illustrate this, suggesting older drivers may more efficiently scan their environment. Other possibilities include the young trusting the simulator, young/old scan differently, or interference of previous simulator experience. Simulator outcomes showed age differences on gas-pedal-reaction times suggesting that older adults are more cautious, slowing down faster with critical events. Limitations include small sample and limited studies have used eye-tracking technology in driving. This study raises interesting questions, especially for medically-at-risk drivers with visual impairments. Using the eye-tracking may enhance targeting specific strategies for a variety of impairments as well as establishing a baseline of typical drivers’ visual scanning habits.


PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0240201
Author(s):  
Laura Mikula ◽  
Sergio Mejía-Romero ◽  
Romain Chaumillon ◽  
Amigale Patoine ◽  
Eduardo Lugo ◽  
...  

Driving is an everyday task involving a complex interaction between visual and cognitive processes. As such, an increase in the cognitive and/or visual demands can lead to a mental overload which can be detrimental for driving safety. Compiling evidence suggest that eye and head movements are relevant indicators of visuo-cognitive demands and attention allocation. This study aims to investigate the effects of visual degradation on eye-head coordination as well as visual scanning behavior during a highly demanding task in a driving simulator. A total of 21 emmetropic participants (21 to 34 years old) performed dual-task driving in which they were asked to maintain a constant speed on a highway while completing a visual search and detection task on a navigation device. Participants did the experiment with optimal vision and with contact lenses that introduced a visual perturbation (myopic defocus). The results indicate modifications of eye-head coordination and the dynamics of visual scanning in response to the visual perturbation induced. More specifically, the head was more involved in horizontal gaze shifts when the visual needs were not met. Furthermore, the evaluation of visual scanning dynamics, based on time-based entropy which measures the complexity and randomness of scanpaths, revealed that eye and gaze movements became less explorative and more stereotyped when vision was not optimal. These results provide evidence for a reorganization of both eye and head movements in response to increasing visual-cognitive demands during a driving task. Altogether, these findings suggest that eye and head movements can provide relevant information about visuo-cognitive demands associated with complex tasks. Ultimately, eye-head coordination and visual scanning dynamics may be good candidates to estimate drivers’ workload and better characterize risky driving behavior.


1976 ◽  
Author(s):  
Joseph DeMaio ◽  
Stanley Parkinson ◽  
Barry Leshowitz ◽  
John Crosby
Keyword(s):  

2004 ◽  
Author(s):  
Guihua Yang ◽  
Farnaz Baniahmad ◽  
Beverly K. Jaeger ◽  
Ronald R. Mourant
Keyword(s):  

CICTP 2019 ◽  
2019 ◽  
Author(s):  
Lanfang Zhang ◽  
Kun Zhao ◽  
Xuekun Wang ◽  
Shuo Liu

Sign in / Sign up

Export Citation Format

Share Document