EFFECTS OF READING TEXT WHILE DRIVING ANALYSIS OF 200 HONOLULU TAXI DRIVERS ON A VS500M SIMULATOR

M.S. Thesis. University of Hawaiʻi at Mānoa 2018

Analyzing Action Game Players\u27 Performance During Distracted Driving

Driving is a complex task that is highly reliant on attention. Research states that distractions cause performance errors thus it is important to find ways to reduce driver distraction or assist drivers with ways to improve their cognitive resources if distraction is unavoidable. Moreover, research indicates that action video game players outperform non-players on labbased tests of visual and cognitive abilities. However, research also exists that is contrary to these findings. Some researchers suggest that methodological deficiencies could be the cause of the significant findings in the literature. With such fervor of debate on the subject, the question remains of whether players acquire skills through playing action video games and if so can these games be used as research or training tools to enhance performance on realistic tasks. To answer this question, 45 male participants were tested using psychometric measures of spatial ability (Spatial orientation and visualization) and failures of attention (Cognitive Failures Questionnaire), and then all participants drove four 10-minute drives in a driving simulator. The first drive was a practice, followed by a control drive. Participants were then distracted using a hands free phone conversation. Following that, participants completed a final control drive. Both overall video game experience and action video game experience was positively related to higher spatial ability scores. Additionally, participants with higher action game experience exhibited fewer lane deviations during driving overall, but not during the distraction condition. On the other hand, participants with higher spatial ability scores exhibited fewer lane deviations during the distraction condition, but not during the control drives. Furthermore, action video game experience was not significant on the Cognitive Failures Questionnaire. Therefore, it was concluded that individuals who have higher action game experience do not show improvements on any iv abilities of attention tested in this study. However, higher experience action video game players may perform better in simulated environments than those with less experience

An Examination of the Effects of Videophones on Driving and Conversation Performance

Research has conclusively shown that cell phones have a detrimental effect on driving performance. In an attempt to understand why, a handful of researchers have investigated the differences between cell phone and passenger conversations, with several of these studies revealing that the distraction caused by concurrent cell phone conversations noticeably outweighs that imposed by passenger conversations. One study suggested that the availability of visual cues during a passenger conversation may be an important factor contributing to this reduced level of distraction. The focus of this research project was to test whether providing drivers and remote conversers with access to visual cues via a videophone would result in improved driving performance when compared to a concurrent cell phone conversation. An initial experiment, in which 24 drivers encountered five hazards on a simulated road while conversing with a passenger, cell phone caller, videophone caller, or driving without conversation, resulted in driving behaviour that did not appear to be an accurate representation of real-world driving behaviour, which resulted in the early termination of this experiment. A second revised experiment, in which novice and practiced drivers drove a shortened version of the simulated road once under each of the aforementioned conversation conditions, produced more normal behaviour but failed to reveal any significant differences in driving or conversation performance as a result of concurrent videophone conversation compared to cell phone conversation. However, the results did reveal a number of other findings that may aid in understanding the distracting effects of cell phones, one of which was that remote conversations may result in an overestimation or underestimation of the correct driving response depending on the nature of the driving situation

Influence of Cue Utilisation and Driver Distraction on Performance in a Driving Simulator

This item is only available electronically.Driver distraction is a significant road safety concern, especially with the increasing prevalence of mobile phone engagement while driving. Various individual differences may predict the extent to which individuals’ are effected distraction. Cue utilisation, which is the capacity to extract and apply task relevant cues to make cognitive judgements about a situation, is one individual difference that has not been considered in this context. This study assesses the relationship between cue utilisation and the ability to manage distraction within a simulated driving context. Thirty-five qualified drivers completed an online assessment of cue utilisation within a driving context, and a simulated driving task involving two scenarios. During the ‘no distraction’ scenario, participants navigated an urban area complying with Australian road rules. During the ‘distraction’ scenario, participants drove a comparable route and in addition, read and verbally responded to a series of text messages. For each scenario, driving performance and perceived cognitive workload was measured. Results demonstrated that greater cue utilisation capacity was not associated with superior driving performance, but was associated with a higher perceived cognitive workload in the absence of a distraction. The outcomes of this study contribute to knowledge of driver distraction and its relationship with cue utilisation.Thesis (B.PsychSc(Hons)) -- University of Adelaide, School of Psychology, 201

Allocating Visual Attention: How Relevance to Driving Impacts Attention when Drivers are Distracted

Use of cell phones while driving, and safety implications thereof, has captured public and scientific interest. Previous research has shown that driver reactions and visual attention are impacted by cell phone use, even when a handsfree device is used. In addition to these effects, Strayer and colleagues also found lower recognition for items present in the driving environment when drivers were using a cellular phone than when not using the phone. Strayer and colleagues used recognition as their primary measure of attention. Relevance to driving may have an impact on how attention is allocated to the environment via eye movements, separate from the impact on recognition memory. The current project used a medium-fidelity driving simulator to extend previous research by investigating how attention is allocated across driving-relevant and -irrelevant objects in the environment. Driving-relevant objects consisted of signs and potential hazards. Driving-irrelevant objects were billboards. Eye movement patterns (primarily measured by number of gazes) were impacted by distraction, and the pattern of gazes also differed across relevance levels, with hazards receiving the most gazes, and signs receiving the fewest. When only considering driving-relevant objects (i.e., signs vs. hazards), the eye movement measures showed an interaction between distraction and relevance. Signs received fewer gazes when drivers were distracted, whereas there was no comparable decrease in gazes to hazards

Human-Centric Detection and Mitigation Approach for Various Levels of Cell Phone-Based Driver Distractions

abstract: Driving a vehicle is a complex task that typically requires several physical interactions and mental tasks. Inattentive driving takes a driver’s attention away from the primary task of driving, which can endanger the safety of driver, passenger(s), as well as pedestrians. According to several traffic safety administration organizations, distracted and inattentive driving are the primary causes of vehicle crashes or near crashes. In this research, a novel approach to detect and mitigate various levels of driving distractions is proposed. This novel approach consists of two main phases: i.) Proposing a system to detect various levels of driver distractions (low, medium, and high) using a machine learning techniques. ii.) Mitigating the effects of driver distractions through the integration of the distracted driving detection algorithm and the existing vehicle safety systems. In phase- 1, vehicle data were collected from an advanced driving simulator and a visual based sensor (webcam) for face monitoring. In addition, data were processed using a machine learning algorithm and a head pose analysis package in MATLAB. Then the model was trained and validated to detect different human operator distraction levels. In phase 2, the detected level of distraction, time to collision (TTC), lane position (LP), and steering entropy (SE) were used as an input to feed the vehicle safety controller that provides an appropriate action to maintain and/or mitigate vehicle safety status. The integrated detection algorithm and vehicle safety controller were then prototyped using MATLAB/SIMULINK for validation. A complete vehicle power train model including the driver’s interaction was replicated, and the outcome from the detection algorithm was fed into the vehicle safety controller. The results show that the vehicle safety system controller reacted and mitigated the vehicle safety status-in closed loop real-time fashion. The simulation results show that the proposed approach is efficient, accurate, and adaptable to dynamic changes resulting from the driver, as well as the vehicle system. This novel approach was applied in order to mitigate the impact of visual and cognitive distractions on the driver performance.Dissertation/ThesisDoctoral Dissertation Applied Psychology 201

Effect of Driver Distraction on Vehicle Speed Control

Performing a secondary task while driving impairs various performance measures, including speed control. Distraction is associated with reductions in driving speed; however, this is often based on global measures of performance, such as course completion time or mean speed. This study investigated how a secondary task affected granular speed variation. Participants (N=16, ages 18-43) performed a secondary task of mentally subtracting pairs of numbers while negotiating a simulated road course. Various driving performance measures were obtained but only results for longitudinal velocity are reported. The results reveal that drivers exhibited significant increases and decreases (\u3e2+/- SD) in vehicle speed under distraction, with participants showing a stronger tendency to decrease their speed (60% of the observed speed violations). This may explain why global measures of driving speed under distraction reveal a slowing down. These results may increase our understanding of the nuanced effects of distraction on driving and be useful for predicting/diagnosing distracted driving behavior

License to Supervise:Influence of Driving Automation on Driver Licensing

To use highly automated vehicles while a driver remains responsible for safe driving, places new – yet demanding, requirements on the human operator. This is because the automation creates a gap between drivers’ responsibility and the human capabilities to take responsibility, especially for unexpected or time-critical transitions of control. This gap is not being addressed by current practises of driver licensing. Based on literature review, this research collects drivers’ requirements to enable safe transitions in control attuned to human capabilities. This knowledge is intended to help system developers and authorities to identify the requirements on human operators to (re)take responsibility for safe driving after automation

Evaluating interactions of task relevance and visual attention in driver multitasking

Use of cellular phones while driving, and safety implications thereof, has captured public and scientific interest. Previous research has shown that driver reactions and attention are impacted by cellular phone use. Generally, previous research studies have not focused on how visual attention and driver performance may interact. Strayer and colleagues found lower recognition for items present in the driving environment when drivers were using a cellular phone than when not using the phone; however, the tested items were not directly relevant to driving. Relevance to driving may have an impact on attention allocation. The current project used a mediumidelity driving simulator to extend previous research in two ways: 1) how attention is allocated across driving-relevant and -irrelevant items in the environment was investigated, and 2) driving performance measures and eye movement measures were considered together rather than in isolation to better illustrate the impact of cellular phone distraction on driver behavior. Results from driving performance measures replicated previous findings that vehicle control is negatively impacted by driver distraction. Interestingly, there were no interactions of relevance and distraction found, suggesting that participants responded to potential hazards similarly in driving-only and distraction conditions. In contrast to previous research, eye movement patterns (primarily measured by number of gazes) were impacted by distraction. Gaze patterns differed across relevance levels, with hazards receiving the most gazes, and signs receiving the fewest. The relative size of the critical items may have impacted gaze probability in this relatively undemanding driving environment. In contrast to the driving performance measures, the eye movement measures did show an interaction between distraction and relevance; thus, eye movements may be a more direct and more sensitive measure of driver attention. Recognition memory results were consistently near chance performance levels and did not reflect the patterns found in the eye movement or driving performance measures