Driver behavior in mixed and virtual reality – A comparative study

Blissing, Björn; Bruzelius, Fredrik; Eriksson, Olle

doi:10.1016/j.trf.2017.08.005

Cited by 19 publications

(2 citation statements)

References 6 publications

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“…Computer simulations designed for learning driving normally focus on experiences that promote elementary driving knowledge such as accelerating, decelerating, or steering: that is, the main actions and reactions of a novel driver in a driving environment [38], [39]. Simulation environments are also effective in showing new or unusual traffic environments or circumstances, and in learning and training new driving behaviors [40], [41], [42], [43]. One learning environment that attends to driving in emergent traffic and congestion is TrafficJams [44], in which a group of people drive their cars together on a single simulated road.…”

Section: Way Forward: Designing a Suitable Learning Environmentmentioning

confidence: 99%

Learning an Alternative Car-Following Technique to Avoid Congestion With an Instructional Driving Simulator

Lucas-Alba

Levy

Melchor³

et al. 2022

IEEE Trans. Learning Technol.

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This article addresses the problem of traffic congestion through a learning perspective, highlighting the capabilities of information, and communication technologies to transform society. Recent physical and mathematical analysis of congestion reveals that training drivers to keep a safe distance systematically contributes to the emergence and maintenance of interference congestion (so-called phantom traffic jam). This article presents the WaveDriving Course (WDC), a simulated learning environment designed to help drivers progress from the traditional drive-to-keep-distance (DD) technique to a new car-following (CF) principle better suited for wave-like traffic, drive-to-keep-inertia (DI). The WDC is based on the ordinary knowledge of the driver (e.g., going through a series of traffic lights) and presents this situation in terms of two possible simultaneous behavioral strategies. The driver has the opportunity to verify that it is possible to achieve the same objective with different consequences. Finally, the WDC checks to what extent this learning generates transfer patterns in the analogous case of CF. This article focuses on results concerning the first WDC module: the traffic-light analogy. Forty-two participants followed the whole learning procedure for about 30 min. An evaluative CF test was administered before and after visioning the tutorial and practicing on the simulator. Overall, transference from this traffic-light analog to the CF situation (posttest) was successful. Results confirm the adoption of the expected DI strategies (speed variability decreased, distance and distance variability to leader increased, fuel consumption decreased, platoon elongation decreased, etc.). The need to improve the WDC teaching of the appropriate CF distance is discussed.

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Section: Way Forward: Designing a Suitable Learning Environmentmentioning

confidence: 99%

Learning an Alternative Car-Following Technique to Avoid Congestion With an Instructional Driving Simulator

Lucas-Alba

Levy

Melchor³

et al. 2022

IEEE Trans. Learning Technol.

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show abstract

“…Moreover, recent advances in computer graphics and technology have provided new opportunities for generating more realistic virtual scenarios that are suitable for behavioural studies (Patterson, Darbani, Rezaei, Zacharias, & Yazdizadeh, 2017). VR environment experiments have successfully been conducted in various fields of cognitive studies (Blissing, Bruzelius, & Eriksson, 2017;Farooq et al, 2018). For example, Lehsing and Feldstein analysed social interaction in transient where a car driver in a driving simulator encounters a pedestrian in a second simulator in varying situations by adapting VR as their survey tool (Lehsing & Feldstein, 2018).…”

Section: Introductionmentioning

confidence: 99%

Impact of smartphone distraction on pedestrians’ crossing behaviour: An application of head-mounted immersive virtual reality

Sobhani

Farooq

2018

Transportation Research Part F: Traffic Psychology and Behaviou

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A novel head-mounted virtual immersive/interactive reality environment (VIRE) is utilized to evaluate the behaviour of participants in three pedestrian road crossing conditions while 1) not distracted, 2) distracted with a smartphone, and 3) distracted with a smartphone with a virtually implemented safety measure on the road. Forty-two volunteers participated in our research who completed thirty successful (complete crossing) trials in blocks of ten trials for each crossing condition. For the two distracted conditions, pedestrians are engaged in a maze-solving game on a virtual smartphone, while at the same time checking the traffic for a safe crossing gap. For the proposed safety measure, smart flashing and color changing LED lights are simulated on the crosswalk to warn the distracted pedestrian who initiates crossing. Surrogate safety measures as well as speed information and distraction attributes such as direction and orientation of participant's head were collected and evaluated by employing a Multinomial Logit (MNL) model. Results from the model indicate that females have more dangerous crossing behaviour especially in distracted conditions; however, the smart LED treatment reduces this negative impact. Moreover, the number of times and the percentage of duration the head was facing the smartphone during a trial and a waiting time respectively increase the possibility of unsafe crossings; though, the proposed treatment reduces the safety crossing rate. Hence, our study shows that the smart LED light safety treatment indeed improves the safety of distracted pedestrians and enhances the successful crossing rate.

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Analysis of MR–VR tele-operation methods for legged-manipulator robots

Cruz Ulloa,

Domínguez,

del Cerro

et al. 2024

Virtual Reality

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The development of immersive technologies in recent years has facilitated the control and execution of tasks at a high level of complexity in robotic systems. On the other hand, exploration and manipulation tasks in unknown environments have been one of the main challenges in search and rescue (SAR) robotics. Due to the complexity and uncertainty involved in autonomous manipulation tasks in unstructured environments, these are usually tele-operated initially. This article addresses a comparative study between Mixed Reality (MR—Hololens) and Virtual Reality (VR—HTC-Vive) methods for teleoperating legged-manipulator robots in the context of search and rescue. For this purpose, a teleoperation robotics method was established to address the comparison, developing VR–MR interfaces with the same contextualization and operational functionality for mission management and robot control of a robotic set composed of a quadrupedal robot equipped with a 6 degrees of freedom (6DoF) manipulator, by a user using hand gestures. A set of metrics is proposed for the comparative evaluation of the interfaces considering parameters that allow analyzing operability in the context of the mission (latencies, physical parameters of the equipment, etc.), as well as from the aspect of operator performance (required training, confidence levels, etc.). The experimental phase was conducted using both on-site and remote operations to evaluate and categorize the advantages and disadvantages of each method.

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Driver behavior in mixed and virtual reality – A comparative study

Cited by 19 publications

References 6 publications

Learning an Alternative Car-Following Technique to Avoid Congestion With an Instructional Driving Simulator

Learning an Alternative Car-Following Technique to Avoid Congestion With an Instructional Driving Simulator

Impact of smartphone distraction on pedestrians’ crossing behaviour: An application of head-mounted immersive virtual reality

Analysis of MR–VR tele-operation methods for legged-manipulator robots

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