Driver State Monitoring: Manipulating Reliability Expectations in Simulated Automated Driving Scenarios

Perelló-March, Jaume; Burns, Christopher; Woodman, Roger; Elliott, Mark T.; Birrell, Stewart A.

doi:10.1109/tits.2021.3050518

Cited by 28 publications

(31 citation statements)

References 51 publications

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“…With respect to above discussed evidence [52,58,59,65], in the present article we identified situational awareness as the crucial construct for the VR assessment of driving skills. Driver's SA represented a key element that affected driving decision-making as well as driving behavior.…”

Section: Measures In Hmd-based Toolmentioning

confidence: 75%

“…A crucial construct, which has been identified as a significant predictor of successful driving [52], is situational insight or situation awareness [53], in which both the assumptions of a standard TPE (such as intelligence or attention) and driving experience are involved. SA is commonly discussed in highly specialized areas such as air traffic control [54], military activities [55,56], remotely controlled vehicles operation [57] and it is also directly studied in the context of virtual car driving [58,59]. Situational awareness represents the capability to perceive elements in the surrounding within a specific period of time and volume of space.…”

Section: Cognitive Measures Crucial For Drivingmentioning

confidence: 99%

“…Based on the above discussed studies [52,58,59,98,99,106] the proposed diagram (Figure 3) hypothesizes that (1) driver characteristics and states would affect distracting elements as well as deception and SA. Further, (2) distracting elements would affect SA and (3) deception would impact SA.…”

Section: Measures In Hmd-based Toolmentioning

confidence: 99%

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HMD-Based VR Tool for Traffic Psychological Examination: Conceptualization and Design Proposition

et al. 2021

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In the present theoretical paper, the current body of knowledge regarding the use of wearable virtual reality (VR) technologies for traffic psychological examination (TPE) is introduced, critically discussed and a specific application is suggested. The combination of wearable head-mounted displays for VR with an interactive and cost-effective haptic driving interface is emphasized as a valid and viable platform for a driving skills psychological assessment, which is in several aspects superior to standard TPE as well as driving simulators. For this purpose, existing psychological examination methods and psychological phenomena relevant in the process of driving are discussed together with VR technology’s properties and options. Special focus is dedicated to situation awareness as a crucial, but currently hardly measurable construct, where VR in combination with embedded eye-tracking (ET) technology represents a promising solution. Furthermore, the suitability and possibilities of these VR tools for valid traffic psychological examination are analyzed and discussed. Additionally, potentially desirable measures for driving assessment based on recent advances of VR are outlined and practical applications are suggested. The aim of this article is to bring together recent advances in TPE, VR and ET; revise previous relevant studies in the field; and to propose concept of the cost effective, mobile and expandable HMD-based driving simulator, which can be suitable for an ecologically valid driving assessment and follow-up TPE in common practice.

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Section: Measures In Hmd-based Toolmentioning

confidence: 75%

Section: Cognitive Measures Crucial For Drivingmentioning

confidence: 99%

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HMD-Based VR Tool for Traffic Psychological Examination: Conceptualization and Design Proposition

et al. 2021

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“…Recent driving simulator experiments, using wearable electrodermal activity (EDA) and electrocardiogram (ECG) sensors, have shown a promising alternative to overcome eye-trackers major drawbacks and towards the development of multimodal DSM systems [34]- [37]. For example, simply detecting if the driver is taking a nap with the seat reclined, awake and listening to music while looking through the window, or fully immersed in a videogame may imply radically different preparation to take-over strategies to get the driver back in the loop.…”

Section: Introductionmentioning

confidence: 99%

“…Both ECG and EDA have proven their validity in detecting drivers' stress or mental workload in naturalistic driving [44] and driving simulators [37], [45], sleepiness [46], and discomfort [34]- [36]. In particular, increasing stress levels have been found under complex driving conditions [44], [47], possibly due to increased perceived risk.…”

Section: Introductionmentioning

confidence: 99%

Physiological Measures of Risk Perception in Highly Automated Driving

Perelló-March

Burns

Birrell

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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Highly automated driving will likely result in drivers being out-of-the-loop during specific scenarios and engaging in a wide range of non-driving related tasks. Manifesting in lower levels of risk perception to emerging events, and thus affect drivers' availability to take-over manual control in safety-critical scenarios. In this empirical research, we measured drivers' (N = 20) risk perception with cardiac and skin conductance indicators through a series of high-fidelity, simulated highly automated driving scenarios. By manipulating the presence of surrounding traffic and changing driving conditions as long-term risk modulators, and including a driving hazard event as a short-term risk modulator, we hypothesised that an increase in risk perception would induce greater physiological arousal. Our results demonstrate that heart rate variability features are superior at capturing arousal variations from these long-term, low to moderate risk scenarios. In contrast, skin conductance responses are more sensitive to rapidly evolving situations associated with moderate to high risk. Based on this research, future driver state monitoring systems should adopt multiple physiological measures to capture changes in the long and short term, modulation of risk perception. This will enable enhanced perception of driver readiness and improved availability to safely deal with take-over events when requested by an automated vehicle.

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Driver Stress Detection in Simulated Driving Scenarios with Photoplethysmography

Mateos-García

González²,

Reboredo³

et al. 2022

Distributed Computing and Artificial Intelligence, 19th International Conference

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Driver State Monitoring: Manipulating Reliability Expectations in Simulated Automated Driving Scenarios

Cited by 28 publications

References 51 publications

HMD-Based VR Tool for Traffic Psychological Examination: Conceptualization and Design Proposition

HMD-Based VR Tool for Traffic Psychological Examination: Conceptualization and Design Proposition

Physiological Measures of Risk Perception in Highly Automated Driving

Driver Stress Detection in Simulated Driving Scenarios with Photoplethysmography

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