IEEE Transactions on Human-Machine Systems

Issue 1 • Feb. 2018

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Displaying Results 1 - 18 of 18
  • Table of contents

    Publication Year: 2018, Page(s): C1
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  • IEEE Transactions on Human-Machine Systems publication information

    Publication Year: 2018, Page(s): C2
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  • Guest Editorial: Multifaceted Driver–Vehicle Systems: Toward More Effective Driving Simulations, Reliable Driver Modeling, and Increased Trust and Safety

    Publication Year: 2018, Page(s):1 - 5
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  • A Motion Cueing Algorithm With Look-Ahead and Driver Characterization: Application to Vertical Car Dynamics

    Publication Year: 2018, Page(s):6 - 16
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (913 KB)

    Driving simulators are nowadays a widely used tool in the automotive industry. In particular, the need for safe and repeatable conditions in automated driving testing is now defining a new challenge: to extend the use of the tool to nonprofessional drivers. Quality of the motion control strategies in generating both realistic and feasible inputs to the driver is therefore, more than ever, a crucia... View full abstract»

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  • Continuous Subjective Rating of Perceived Motion Incongruence During Driving Simulation

    Publication Year: 2018, Page(s):17 - 29
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1992 KB)

    Motion cueing algorithms are used in motion simulation to map the inertial vehicle motion onto the limited simulator motion space. This mapping causes mismatches between the unrestricted visual motion and the constrained inertial motion, which results in perceived motion incongruence (PMI). It is still largely unknown what exactly causes visual and inertial motion in a simulator to be perceived as... View full abstract»

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  • Subjective Evaluation of High-Fidelity Virtual Environments for Driving Simulations

    Publication Year: 2018, Page(s):30 - 40
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (3532 KB) |  Multimedia Media

    Virtual environments (VEs) grant the ability to experience real-world scenarios, such as driving, in a virtual, safe, and reproducible context. However, in order to achieve their full potential, the fidelity of the VE must provide confidence that it replicates the perception of the real-world experience. The computational cost of simulating real-world visuals accurately means that compromises to t... View full abstract»

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  • A Study on Objective Evaluation of Vehicle Steering Comfort Based on Driver's Electromyogram and Movement Trajectory

    Publication Year: 2018, Page(s):41 - 49
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1043 KB)

    The evaluation of driver's steering comfort, which is mainly concerned with the haptic driver–vehicle interaction, is important for the optimization of advanced driver assistance systems. The current approaches to investigating steering comfort are mainly based on the driver's subjective evaluation, which is time-consuming, expensive, and easily influenced by individual variat... View full abstract»

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  • Combined EEG-Gyroscope-tDCS Brain Machine Interface System for Early Management of Driver Drowsiness

    Publication Year: 2018, Page(s):50 - 62
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1277 KB)

    In this paper, we present the design and implementation of a wireless, wearable brain machine interface (BMI) system dedicated to signal sensing and processing for driver drowsiness detection (DDD). Owing to the importance of driver drowsiness and the possibility for brainwaves-based DDD, many electroencephalogram (EEG)-based approaches have been proposed. However, few studies focus on the early d... View full abstract»

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  • Risky Driver Recognition Based on Vehicle Speed Time Series

    Publication Year: 2018, Page(s):63 - 71
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1083 KB)

    Risky driving is a major cause of traffic accidents. In this paper, we propose a new method that recognizes risky driving behaviors purely based on vehicle speed time series. This method first retrieves the important distribution pattern of the sampled positive speed-change (value and duration) tuples for individual drivers within different speed ranges. Then, it identifies the risky drivers based... View full abstract»

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  • Safety Verification Methods for Human-Driven Vehicles at Traffic Intersections: Optimal Driver-Adaptive Supervisory Control

    Publication Year: 2018, Page(s):72 - 84
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1304 KB)

    We design an optimal, driver-adaptive supervisor for collision avoidance at an intersection. The algorithm is able to identify optimal corrections to the human-decided inputs and to keep the system collision free. To determine the set of safe control actions, we exploit the notion of maximal controlled invariant set. We leverage results from scheduling theory to verify the safety of a given contro... View full abstract»

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  • Driver Trust in Automated Driving Systems: The Case of Overtaking and Passing

    Publication Year: 2018, Page(s):85 - 94
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1264 KB)

    It is important to learn about the factors that affect a driver's willingness to rely on an automated driving system in order to maintain appropriate trust in the system. The purpose of this study was to investigate the relationships between the system behavior and a driver's trust by considering overtaking a scooter and passing a bicycle automatically. Using a driving simulator, we ... View full abstract»

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  • Creating Appropriate Trust in Automated Vehicle Systems: A Framework for HMI Design

    Publication Year: 2018, Page(s):95 - 101
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (295 KB)

    While automated vehicle technology progresses, potentially leading to a safer and more efficient traffic environment, many challenges remain within the area of human factors, such as user trust for automated driving (AD) vehicle systems. The aim of this paper is to investigate how an appropriate level of user trust for AD vehicle systems can be created via human–machine interaction (HMI). A... View full abstract»

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  • Improvement of Evaluation Indices for Rear-End Collision Risk

    Publication Year: 2018, Page(s):102 - 109
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1071 KB)

    There are various kinds of indices to evaluate collision risk against forward obstacles, which are used to determine the timing of collision warning provision in forward obstacle collision warning systems (FCWSs) and advanced emergency braking systems. A previous study proposed a deceleration for collision avoidance (DCA) method, which can evaluate a collision risk more precisely than other conven... View full abstract»

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  • Computational Human Performance Modeling for Human-Machine Systems Design

    Publication Year: 2018, Page(s): 110
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  • Introducing IEEE Collabratec

    Publication Year: 2018, Page(s): 111
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  • Imagine a community hopeful for the future

    Publication Year: 2018, Page(s): 112
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  • IEEE Systems, Man, and Cybernetics Society Information

    Publication Year: 2018, Page(s): C3
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  • IEEE Transactions on Human-Machine Systems information for authors

    Publication Year: 2018, Page(s): C4
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Aims & Scope

The scope of the IEEE Transactions on Human-Machine Systems includes the fields of human machine systems. It covers human systems and human organizational interactions including cognitive ergonomics, system test and evaluation, and human information processing concerns in systems and organizations.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
David Kaber
North Carolina State University
Edward P. Fitts Department of Industrial & Systems Engineering
400 Daniels Hall, 111 Lampe Dr.
Raleigh, NC 27695-7906
THMS-EIC@ieee.org