Human Factors Psychology Commons^™

Framing Automation Trust: How Initial Information About Automated Driving Systems Influences Swift Trust In Automation And Trust Repair For Human Automation Collaboration, Scott Anthony Mishler

Psychology Theses & Dissertations

The study examines how trust in automation is influenced by initial framing of information before interaction and how later active calibration methods can further influence trust repair or dampening after an automation error in a three-experiment study. As more human drivers begin to use automated driving systems (ADSs) for the first time, their initial understanding of the system can influence their trust leading to a miscalibration of trust. Prior studies have investigated how trust develops through interactions with an automated system, but few have looked at integrating swift trust and framing to calibrate trust before interaction and investigate further active …

Operational Hazard Anticipation: Examination Of Overt Anticipatory Behaviors In Latent Hazard Scenarios Using A High-Fidelity Driving Simulator, Sarah Elizabeth Yahoodik

Psychology Theses & Dissertations

Young drivers are more likely to be involved in fatal crashes compared to more experienced drivers. Perceptual-cognitive skills such as anticipating and mitigating hazards may contribute to this risk. However, the connection between anticipating a hazard and successfully mitigating said hazard is not clear. One novel concept that may bridge hazard anticipation and mitigation is operational hazard anticipation. Operational hazard anticipation is the act of engaging in anticipatory actions in preparation for the possibility of eventual hazard mitigation. This study examined a possible measure of operational hazard anticipation, hovering one’s foot over the brake and accelerator, and the relationship between …

Investigating Attention Modeling Differences Between Older And Younger Drivers, Kathryn Baringer

All Theses

As in-vehicle technologies (IVTs) grow in both popularity and complexity, the question of whether these IVTs improve, or hinder, driver performance has gained more attention. The ability to predict when a driver will be looking at the road or a display on the car’s dashboard or center console is crucial to understanding the impact of the recent tech-heavy trend in car designs on safety and the extent to which IVTs compete with the primary driving task for visual resources. The SEEV model of visual attention has been shown to be able to predict the probability of attending an area if …

When Do Drivers Interact With In-Vehicle Well-Being Interventions? An Exploratory Analysis Of A Longitudinal Study On Public Roads, Kevin Koch, Varun Mishra, Shu Liu, Thomas Berger, Elgar Fleisch, David Kotz, Felix Wortmann

Dartmouth Scholarship

Recent developments of novel in-vehicle interventions show the potential to transform the otherwise routine and mundane task of commuting into opportunities to improve the drivers' health and well-being. Prior research has explored the effectiveness of various in-vehicle interventions and has identified moments in which drivers could be interruptible to interventions. All the previous studies, however, were conducted in either simulated or constrained real-world driving scenarios on a pre-determined route. In this paper, we take a step forward and evaluate when drivers interact with in-vehicle interventions in unconstrained free-living conditions.

To this end, we conducted a two-month longitudinal study with 10 …

The Effects Of Vehicle Automation Level And Warning Type On Responses To Vehicle Hacking, Wyatt D. Mcmanus

Psychology Theses & Dissertations

Modern surface transportation vehicles often include different levels of automation. Higher automation levels have the potential to impact surface transportation in unforeseen ways. For example, connected vehicles with higher levels of automation are at a higher risk for hacking attempts, because automated driving assistance systems often rely on on board sensors and internet connectivity. As the automation level of vehicle control rises, it is necessary to examine the effect of different levels of automation have on the driver-vehicle interactions. In addition, auditory warnings have been shown to effectively attract a driver’s attention while performing a driving task, which is often …

Differential Effects Of Refractive Blur On Day And Nighttime Driving Performance, Joanne M. Wood, Michael J. Collins, Alex Chaparro, Ralph Marszalek, Trent Carberry, Philippe Lacherez, Byoung Sun Chu

Publications

PURPOSE. To investigate the effect of different levels of refractive blur on real-world driving performance measured under day and nighttime conditions.

METHODS. Participants included 12 visually normal, young adults (mean age = 25.+- 5.2 years) who drove an instrumented research vehicle around a 4 km closed road circuit with three different levels of binocular spherical refractive blur (+0.50 diopter sphere [DS], +1.00 DS, +2.00 DS) compared with a baseline condition. The subjects wore optimal spherocylinder correction and the additional blur lenses were mounted in modified fullfield goggles; the order of testing of the blur conditions was randomized. Driving …

Useful Field Of View Predicts Driving In The Presence Of Distracters, Joanne M. Wood, Alex Chaparro, Philippe Lacherez, Louise Hickson

Publications

Purpose. The Useful Field of View (UFOV®) test has been shown to be highly effective in predicting crash risk among older adults. An important question which we examined in this study is whether this association is due to the ability of the UFOV to predict difficulties in attention-demanding driving situations that involve either visual or auditory distracters.

Methods. Participants included 92 community-living adults (mean age 73.6 +- 5.4 years; range 65– 88 years) who completed all three subtests of the UFOV involving assessment of visual processing speed (subtest 1), divided attention (subtest 2), and selective attention (subtest 3); driving safety …