Ben D. Sawyer

Google glass: a driver distraction cause or cure?

Objective: We assess the driving distraction potential of texting with Google Glass (Glass), a mobile wearable platform capable of receiving and sending short-message-service and other messaging formats. Background: A known roadway danger, texting while driving has been targeted by legislation and widely banned. Supporters of Glass claim the head-mounted wearable computer is designed to deliver information without concurrent distraction. Existing literature supports the supposition that design decisions incorporated in Glass might facilitate messaging for drivers. Method: We asked drivers in a simulator to drive and use either Glass or a smartphone-based messaging interface, then interrupted them with an emergency brake event. Both the response event and subsequent recovery were analyzed. Results: Glass-delivered messages served to moderate but did not eliminate distracting cognitive demands. A potential passive cost to drivers merely wearing Glass was also observed. Messaging using either device impaired driving as compared to driving without multitasking. Conclusion: Glass in not a panacea as some supporters claim, but it does point the way to design interventions that effect reduced load in multitasking. Application: Discussions of these identified benefits are framed within the potential of new in-vehicle systems that bring both novel forms of distraction and tools for mitigation into the driver’s seat.

Cyber Vigilance: Effects of Signal Probability and Event Rate

Cyber security operators in the military and civilian sector face a lengthy repetitive work assignment with few critical signal occurrences under conditions in which they have little control over what transpires. In this sense, their task is similar to vigilance tasks that have received considerable attention from human factors specialists in regard to other operational assignments such as air traffic control, industrial process control, and medical monitoring. Accordingly, this study was designed to determine if cyber security tasks can be linked to more traditional vigilance tasks in regard to several factors known to influence vigilance performance and perceived mental workload including time on task, the probability of critical signal occurrence, and event rate (the number of stimulus events that must be monitored in order to detect critical signals). Consistent with the results obtained in traditional vigilance experiments, signal detection on a 40-minute simulated cyber security task declined significantly over time, was directly related to signal probability, and inversely related to event rate. In addition, as in traditional vigilance tasks, perceived mental workload in the cyber task, as reflected by the NASA Task Load Index, was high. The results of this study have potential meaning for designers of cyber security systems in regard to psychophysical factors that might influence task performance and the need to keep the workload of such systems from exceeding the information processing bounds of security operators.

Stress and Workload Profiles of Network Analysis: Not All Tasks Are Created Equal

Effective cyber defense depends upon intrusion detection, i.e., the process of monitoring, detecting, and reacting appropriately to cyber activity threatening network security. Intrusion detection requires the execution of multiple unique, interdependent network analysis tasks. The current study aimed to expand understanding of cyber defense by separately assessing task induced workload and stress for two key network analyst tasks, triage analysis and escalation analysis, which are the first and second lines of cyber defense, respectively. In separate studies, participants assumed the role of either a triage analyst or an escalation analyst, performed associated intrusion detection duties in simulated cyber task environments, and reported task induced workload and stress. Findings suggest that, even though triage and escalation analysts are both engaged in cyber defense, their tasks result in differentiable workload and stress profiles. This highlights the need for further human factors research examining operator performance and state across network analyst roles.

Judging thieves of attention: commentary on "Assessing cognitive distraction in the automobile," by Strayer, Turrill, Cooper, Coleman, Medeiros-Ward, and Biondi (2015)

The laudable effort by Strayer and his colleagues to derive a systematic method to assess forms of cognitive distraction in the automobile is beset by the problem of nonstationary in driver response capacity. At the level of the overall goal of driving, this problem conflates actual on-road behavior; characterized by underspecified task satisficing, with our own understandable, scientifically inspired aspiration for measuring deterministic performance optimization. Measures of response conceived under this latter imperative are, at best, only shadowy reflections of the actual phenomenological experience involved in real-world vehicle control. Whether we, as a research community, can resolve this issue remains uncertain. However, we believe we can mount a positive attack on what is arguably another equally important dimension of the collision problem.

Development of a Linked Simulation Network to Evaluate Intelligent Transportation System Vehicle to Vehicle Solutions

Intelligent Transport Systems (ITS) Vehicle to Vehicle (V2V) and Infrastructure to Vehicle (I2V) technologies promise significant advances in roadway safety, but the prolonged timeline for migration to these technologies suggest turbulent decades of driving safety research to come. To answer the ongoing question of how ITS based evolution of the driving environment will impact The Vehicle Fleet and the driving public, simulation based driver research will be necessary. Unfortunately, traditional single-seat simulators are not well suited to answer questions about networked ITS systems, which inherently involve multiple actors. Multiple seat driving simulators (MSDS), in which drivers interact in a single virtual environment, is argued to be the solution. Details of the ongoing development of the Real-time Multiple Seat Simulator (RMSS) at The University of Central Florida are presented, and implications of this and futures linked simulation installations discussed.

The Impact of GPS Interface Design on Driving and Distraction

This study empirically examined the effects of keyboard type in a GPS system on driver distraction. Fifty-two undergraduate students were recruited to drive in a simulated environment while using either a QWERTY or ABCD keyboard embedded in a GPS interface. Driving errors, as well as bio-behavioral assessments, eye fixation durations, and EEG (Electroencephalography) theta frequency level were collected to determine the level of distraction and driving performance of participants. Significant differences in driving and distraction measures were found between driving with and without GPS data entry. Despite greater pre-existing participant skill in using two-handed QWERTY keyboards, no differences were found between the two keyboard types when used one-handed while driving. Implications for driver safety, in-vehicle systems design, and distraction research are discussed.

DriveID: safety innovation through individuation

The driving task is highly complex and places considerable perceptual, physical and cognitive demands on the driver. As driving is fundamentally an information processing activity, distracted or impaired drivers have diminished safety margins compared with non- distracted drivers (Hancock and Parasuraman, 1992; TRB 1998 a & b). This competition for sensory and decision making capacities can lead to failures that cost lives. Some groups, teens and elderly drivers for example, have patterns of systematically poor perceptual, physical and cognitive performance while driving. Although there are technologies developed to aid these different drivers, these systems are often misused and underutilized. The DriveID project aims to design and develop a passive, automated face identification system capable of robustly identifying the driver of the vehicle, retrieve a stored profile, and intelligently prescribing specific accident prevention systems and driving environment customizations.

Detection of error-related negativity in complex visual stimuli: a new neuroergonomic arrow in the practitioner’s quiver

Abstract Brain processes responsible for the error-related negativity (ERN) evoked response potential (ERP) have historically been studied in highly controlled laboratory experiments through presentation of simple visual stimuli. The present work describes the first time the ERN has been evoked and successfully detected in visual search of complex stimuli. A letter flanker task and a motorcycle conspicuity task were presented to participants during electroencephalographic (EEG) recording. Direct visual inspection and subsequent statistical analysis of the resultant time-locked ERP data clearly indicated that the ERN was detectable in both groups. Further, the ERN pattern did not differ between groups. Such results show that the ERN can be successfully elicited and detected in visual search of complex static images, opening the door to applied neuroergonomic use. Harnessing the brain’s error detection system presents significant opportunities and complex challenges, and implication of such are discussed in the context of human-machine systems. Practitioner Summary: For the first time, error-related negativity (ERN) has been successfully elicited and detected in a visually complex applied search task. Brain-process-based error detection in human-machine systems presents unique challenges, but promises broad neuroergonomic applications.

Examining the impact of age and multitasking on motorcycle conspicuity

This poster presents a study to assess ones ability to detect motorcycles under different conditions of conspicuity while performing a secondary visual load task. Previous research in which participants were required to detect motorcycles revealed differences in age (young adults/older adult) as well as differences associated with motorcycle conspicuity conditions. Past research has specifically found motorcycles with headlights ON and modulating headlights (flashing) to be more conspicuous than motorcycles with headlights OFF within traffic conditions. The present study seeks to provide more information on the effects of multitasking on motorcycle conspicuity and safety. The current study seeks to determine the degree to which multitasking limits the conspicuity of a motorcycle within traffic. We expect our results will indicate main effects for distraction task, age, gender, motorcycle lighting conditions, and vehicular DRLs on ones ability to effectively detect a motorcycle. The results have implications for motorcycle safety in general and through this research, a better understanding of motorcycle conspicuity can be established so as to minimize the risk involved with motorcycle operation.

AN EVALUATION OF DRIVERS USING AN IGNITION INTERLOCK DEVICE: BREATH TESTS WHILE DRIVING

The threat of drunk drivers on our nation’s highways has led to the proliferation of court-mandated ignition interlock devices (IIDs), which test the driver for alcohol consumption before ignition and during operation of the vehicle. Previous research has already demonstrated the distraction potential of IIDs. Litigation has suggested that this difficulty is particularly severe for individuals with small lung capacity, such as women and smokers. The current research sought to augment the previous distraction finding while also comparing men and women in terms of their ability to successfully use a Lifesafer FC-100 interlock device. Results showed that women had significantly less success in providing adequate breath samples to successfully operate the interlock device while driving, and supported previous distraction findings. Implications as well as suggestions for and challenges of further research are provided.