Mobile phone use in a driving simulation task: Differences in eye movements

Balk, Stacy A.; Moore, Kristin S.; Steele, Jay; Spearman, William J.; Duchowski, Andrew T.

doi:10.1167/6.6.872

Cited by 11 publications

(9 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There were no significant main effects for the other predictor variables. This finding supports our hypothesis that more frequent fixations on important events predicted good SA for those events, and supports previous research (Balk et al, 2006). It also supports the "eye-mind hypothesis;" that where a person is looking is an indicator of what they are attending to (Williams et al, 2005).…”

Section: Inferential Statisticssupporting

confidence: 91%

“…Hypotheses were based on an earlier study where eye movement variables, including the percentage of time fixating on potentially hazardous events, predicted SA in real-time scenarios (Balk, Moore, Steele & Spearman, 2006) and on previous research (e.g., Jacob & Karn, 2003). The first hypothesis was that percent of time spent fixating on an aircraft's AOIs, including both the aircraft icon and the flightstrip, would be positively associated with SA accuracy on the ten queries related to the aircraft.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of a Novel Measure of Situation Awareness: The Case for Eye Movement Analysis

Moore

Gugerty

2010

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

Situation awareness (SA) is a measure of an individual's knowledge and understanding of the current and expected future states of a situation. While there are numerous options for SA measurement, none are currently suitable in dynamic, uncontrolled environments. The current research explored the relationship between direct measures of SA and eye tracking measures as a first step in the development of an unobtrusive measure to be used in environments not suited for existing SA measurement methods. Results showed that the more individuals fixated on an important aircraft in an air traffic control task, the higher their SA for that aircraft. The study also provided evidence that the way operators allocate attention (i.e., distributed widely or narrowly) affects their SA, as well as their task performance. The results indicate that eye tracking may be a viable option for measuring SA in environments not conducive to current direct SA measurement techniques.

show abstract

Section: Inferential Statisticssupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Development of a Novel Measure of Situation Awareness: The Case for Eye Movement Analysis

Moore

Gugerty

2010

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

show abstract

“…Dishart and Land suggest that experienced drivers receive visual information from 2 sources of information Many authors have applied the analysis of eye movements to assess the level of driver's fatigue. Merat and Jamson have found differences in the level of fatigue by analyzing the pupil diameter using PERCLOS [57]. Schleicher et al determines the level of fatigue based on the frequency of blinking and saccade characteristics [58].…”

Section: Relevant Eye-tracking Indicators For Use In the Study Of Vismentioning

confidence: 99%

Application of eye-tracking in drivers testing: A review of research

Kapitaniak

Walczak

Kosobudzki

et al. 2015

Int J Occup Med Environ Health

View full text Add to dashboard Cite

International Journal of Occupational Medicine and Environmental AbstractRecording and analyzing eye movements provide important elements for understanding the nature of the task of driving a vehicle. This article reviews the literature on eye movement strategies employed by drivers of vehicles (vehicle control, evaluation of the situation by analyzing essential visual elements, navigation). Special focus was placed on the phenomenon of conspicuity, the probability of perceiving an object in the visual field and the factors that determine it. The article reports the methods of oculographic examination, with special emphasis on the non-invasive technique using corneal reflections, and the criteria for optimal selection of the test apparatus for drivers in experimental conditions (on a driving simulator) and in real conditions. Particular attention was also paid to the helmet -or glass-type devices provided with 1 or 2 high definition (HD) camcorders recording the field of vision and the direction of gaze, and the non-contact devices comprising 2 or 3 cameras and an infrared source to record eye and head movements, pupil diameter, eye convergence distance, duration and frequency of eyelid blinking. A review of the studies conducted using driver eye-tracking procedure was presented. The results, in addition to their cognitive value, can be used with success to optimize the strategy of drivers training.

show abstract

“…The findings supported the "look-but-fail-to-see" phenomenon. It also revealed that increasing cognitive workload (through mobile phone use and/or increased traffic) decreases driving performance [29].…”

Section: Introductionmentioning

confidence: 99%

Effect of Closed-Loop Motion Cueing Algorithm for a Six-Degrees-of-Freedom Dynamic Simulator on Pupil Diameter as a Driver Stress Factor

Aykent¹,

Paillot²,

Merienne³

et al. 2018

SAE Technical Paper Series

View full text Add to dashboard Cite

is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. This is an author-deposited version published in: https://sam.ensam.eu Handle IDAbstract This paper describes the contribution of the closed-loop control of the motion platform (six degrees of freedom: longitudinal, lateral, and vertical displacements; pitch, roll, yaw) and motion platform's three-dimensional (3D) displacement scale factor (SF) (0.2 and 1.0) on eye pupil diameter (PD) as an objective measure of driver cognitive load. Longitudinal, lateral, and vertical accelerations as well as longitudinal, lateral, and vertical positions from the center of gravity (CG) of the vehicle were registered through the driving simulation software SCANeRstudio ® from OKTAL. Closed-loop control decreases the driver mental load. This type of closed-loop control can be used to decrease the driver mental load.

show abstract

Mobile phone use in a driving simulation task: Differences in eye movements

Cited by 11 publications

References 14 publications

Development of a Novel Measure of Situation Awareness: The Case for Eye Movement Analysis

Development of a Novel Measure of Situation Awareness: The Case for Eye Movement Analysis

Application of eye-tracking in drivers testing: A review of research

Effect of Closed-Loop Motion Cueing Algorithm for a Six-Degrees-of-Freedom Dynamic Simulator on Pupil Diameter as a Driver Stress Factor

Contact Info

Product

Resources

About