Matching Items (3)
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Description
In 2013, 1.8 million US drivers were responsible for rear-end collisions with other vehicles (NHTSA 2014), for which driver distraction has been identified as the main factor (Campbell, Smith & Najm, 2003; Knipling, Mironer, Hendricks, Tijerina, Everson, Allen & Wilson 1993; Wang, Knipling & Goodman, 1996). The ubiquity of cell

In 2013, 1.8 million US drivers were responsible for rear-end collisions with other vehicles (NHTSA 2014), for which driver distraction has been identified as the main factor (Campbell, Smith & Najm, 2003; Knipling, Mironer, Hendricks, Tijerina, Everson, Allen & Wilson 1993; Wang, Knipling & Goodman, 1996). The ubiquity of cell phones and their use behind the wheel has played a major role in distracting these drivers. To mitigate this, some manufacturers are equipping vehicles with forward collision warning (FCW) systems.

Generally, warnings that are perceived as being urgent produce lower response times. One technique for increasing perceived urgency of a warning is called looming, where the signal increases in or more dimensions over time. Looming warning signals have been shown to produce low response times, likely because the recipient perceives the signal as a potential approaching threat, prompting defensive reactions (Graziano and Cooke, 2006).

The present study evaluates the effect of veridical (intensity increases at the rate of closure with the lead vehicle) and high urgency (intensity increases at a rate of Time to Collision minus 0.5 seconds) looming FCW, as well as a static FCW, on drivers’ brake reaction times in the presence of a secondary texting task. Participants’ brake reaction times were recorded as they followed a lead car in a driving simulator, encountering multiple sudden-braking events across the five conditions (a control condition as well as four counterbalanced conditions using a secondary texting task). In the four conditions with a secondary task, participants received no FCW, static FCW, veridical FCW, and high-urgency FCW, respectively. Performance data was analyzed using a repeated measures ANOVA, and a series of pairwise comparisons were then made using Bonferroni corrected pairwise t-tests.

The presence of a visually and manually distracting secondary task (texting) seems to diminish the performance of the looming signals as compared to previous studies that did not use a distraction component. While looming FCW do seem to effectively lower BRTs when the driver is distracted, it is recommended that further research investigate the relationship between secondary task types and their respective levels of distraction, and the effectiveness of auditory looming FCW.
ContributorsBecker, Mike (Author) / Gray, Robert (Thesis advisor) / Branaghan, Russell (Committee member) / Craig, Scotty (Committee member) / Arizona State University (Publisher)
Created2016
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Description
Today, in a world of automation, the impact of Artificial Intelligence can be seen in every aspect of our lives. Starting from smart homes to self-driving cars everything is run using intelligent, adaptive technologies. In this thesis, an attempt is made to analyze the correlation between driving quality and its

Today, in a world of automation, the impact of Artificial Intelligence can be seen in every aspect of our lives. Starting from smart homes to self-driving cars everything is run using intelligent, adaptive technologies. In this thesis, an attempt is made to analyze the correlation between driving quality and its impact on the use of car infotainment system and vice versa and hence the driver distraction. Various internal and external driving factors have been identified to understand the dependency and seriousness of driver distraction caused due to the car infotainment system. We have seen a number UI/UX changes, speech recognition advancements in cars to reduce distraction. But reducing the number of casualties on road is still a persisting problem in hand as the cognitive load on the driver is considered to be one of the primary reasons for distractions leading to casualties. In this research, a pathway has been provided to move towards building an artificially intelligent, adaptive and interactive infotainment which is trained to behave differently by analyzing the driving quality without the intervention of the driver. The aim is to not only shift focus of the driver from screen to street view, but to also change the inherent behavior of the infotainment system based on the driving statistics at that point in time without the need for driver intervention.
ContributorsSuresh, Seema (Author) / Gaffar, Ashraf (Thesis advisor) / Sodemann, Angela (Committee member) / Gonzalez-Sanchez, Javier (Committee member) / Arizona State University (Publisher)
Created2017
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Description
Previous research on the effect of smartphone use on user distraction has primarily focused on phone calls and various forms of texting. As technology progresses, drivers are now able to use HMD (head-mounted displays) and other hands-free devices. HMDs allow users to have their eyes directed to the road, however

Previous research on the effect of smartphone use on user distraction has primarily focused on phone calls and various forms of texting. As technology progresses, drivers are now able to use HMD (head-mounted displays) and other hands-free devices. HMDs allow users to have their eyes directed to the road, however open the user to inattentional blindness and give them a false sense of security. The present study compared the effects of two smartphone tasks and two Head Mounted Display (HMD) tasks on car following performance in a driving simulator. Simulation tasks were chosen across two factors: Devices used (Smartphone vs. HMD) and Condition of the Participant (Distracted vs. Not Distracted). Brake Reaction Times (BRT) were significantly slower in the condition in which the user had to text off of the HMD when compared to the Baseline condition (p=.004) and moderately significant when compared to the Texting condition (p=.059). Although there are many applications that might help users by lessening workloads, currently wearing HMDs cause drivers to become overconfident by following lead cars closer while increasing their reaction time.
ContributorsWalter, Kyle James (Author) / Gay, Robert (Thesis director) / Branaghan, Russel (Committee member) / Human Systems Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05