scholarly journals Human–Machine Interface in Transport Systems: An Industrial Overview for More Extended Rail Applications

Machines ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 36
Author(s):  
Simon Enjalbert ◽  
Livia Maria Gandini ◽  
Alexandre Pereda Baños ◽  
Stefano Ricci ◽  
Frederic Vanderhaegen
Keyword(s):  
Human Factors ◽  
New Technologies ◽  
Human Machine Interface ◽  
Transport Systems ◽  
Special Focus ◽  
Driving Assistance ◽  
Automation Equipment ◽  
Machine Interface ◽  
Transport Modes ◽  
Vehicle Automation

This paper provides an overview of Human Machine Interface (HMI) design and command systems in commercial or experimental operation across transport modes. It presents and comments on different HMIs from the perspective of vehicle automation equipment and simulators of different application domains. Considering the fields of cognition and automation, this investigation highlights human factors and the experiences of different industries according to industrial and literature reviews. Moreover, to better focus the objectives and extend the investigated industrial panorama, the analysis covers the most effective simulators in operation across various transport modes for the training of operators as well as research in the fields of safety and ergonomics. Special focus is given to new technologies that are potentially applicable in future train cabins, e.g., visual displays and haptic-shared controls. Finally, a synthesis of human factors and their limits regarding support for monitoring or driving assistance is proposed.

Adapting to the User

2010 ◽  
pp. 1006-1020
Author(s):  
Matthias Jöst
Keyword(s):  
Human Factors ◽  
Human Machine Interface ◽  
Aviation Industry ◽  
Personal Lives ◽  
Machine Interface ◽  
Human Factors Research

Pervasive computers cover many areas of both our working and personal lives. This chapter investigates this phenomenon through the human factors impacts, particularly in aviation. This chapter gives a brief introduction to pervasive computers and how they interact with aviation human factors research. Further, it follows the discussion on how pervasive computers have permeated into an integral part of the aviation industry by reviewing the specific issues of cockpit automation and the human-machine interface in the aircraft cockpit.

Outline of the Human Factor Elements Evident with Pervasive Computers

2011 ◽  
pp. 330-342
Author(s):  
Genevieve Watson
Keyword(s):  
Human Factors ◽  
Human Factor ◽  
Human Machine Interface ◽  
Aviation Industry ◽  
Personal Lives ◽  
Machine Interface ◽  
Human Factors Research

Pervasive computers cover many areas of both our working and personal lives. This chapter investigates this phenomenon through the human factors impacts, particularly in aviation. This chapter gives a brief introduction to pervasive computers and how they interact with aviation human factors research. Further, it follows the discussion on how pervasive computers have permeated into an integral part of the aviation industry by reviewing the specific issues of cockpit automation and the human-machine interface in the aircraft cockpit.

scholarly journals Human–Machine Interaction in Driving Assistant Systems for Semi-Autonomous Driving Vehicles

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2405
Author(s):  
Heung-Gu Lee ◽  
Dong-Hyun Kang ◽  
Deok-Hwan Kim
Keyword(s):  
Autonomous Vehicles ◽  
Driving Simulator ◽  
Response Speed ◽  
Autonomous Driving ◽  
Human Machine Interface ◽  
Driver Assistance Systems ◽  
Human Machine Interaction ◽  
Driving Assistance ◽  
Assistant Systems ◽  
Machine Interface

Currently, the existing vehicle-centric semi-autonomous driving modules do not consider the driver’s situation and emotions. In an autonomous driving environment, when changing to manual driving, human–machine interface and advanced driver assistance systems (ADAS) are essential to assist vehicle driving. This study proposes a human–machine interface that considers the driver’s situation and emotions to enhance the ADAS. A 1D convolutional neural network model based on multimodal bio-signals is used and applied to control semi-autonomous vehicles. The possibility of semi-autonomous driving is confirmed by classifying four driving scenarios and controlling the speed of the vehicle. In the experiment, by using a driving simulator and hardware-in-the-loop simulation equipment, we confirm that the response speed of the driving assistance system is 351.75 ms and the system recognizes four scenarios and eight emotions through bio-signal data.

Reactive Power Automatic Compensation Controller Based on PLC

2013 ◽  
Vol 753-755 ◽  
pp. 2535-2538
Author(s):  
Ya Jun Wu ◽  
Zhu Zhi Jia ◽  
Xiao Chen Jin
Keyword(s):  
Power Factor ◽  
New Technologies ◽  
Reactive Power ◽  
High Reliability ◽  
Human Machine Interface ◽  
Automatic Compensation ◽  
Machine Interface ◽  
Design Software

A high reliability, flexible reactive power automatic compensation controller based on PLC is designed, which the structure and principle of the system is explicitly specified. The controller adopts commercial PLC as the control core,TD400C as human-machine interface, and uses ABB RVT-6 power factor controller to control the switching of the capacitor. Blocking structure is used to design software, whose structure is clear and easy to debug and modify. Running result obtained from relevant application describing the novelty of reactive power compensators implemented with new technologies is also described.

The User-Oriented Design and Practice of HMI

2011 ◽  
Vol 58-60 ◽  
pp. 1819-1823 ◽  
Author(s):  
Yu An Duan ◽  
Hai Tao Song ◽  
Yan Ming Sun
Keyword(s):  
Human Factors ◽  
Computer System ◽  
Human Machine Interface ◽  
Specific Method ◽  
Functional Requirements ◽  
Software Products ◽  
The Media ◽  
Machine Interface ◽  
Design And Practice ◽  
User Centered

HMI (Human-machine Interface) is the media of communication between human and the computer system; designers should not only consider the completeness of its functions in the design of software products, but also human factors. It is necessary for the software products to meet the functional requirements of users, besides; a friendly interface is also needed to improve customers’ satisfaction while improving users’ productivity. This paper discusses the principles and specific method of designing a user-centered human-machine interface and then applies the method in the design of the mounter’s interface so as to test the method put forward in the paper.

scholarly journals Dimensional Evolution of Intelligent Cars Human-Machine Interface considering Take-Over Performance and Drivers’ Perception on Urban Roads

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Hao Yang ◽  
Yueran Wang ◽  
Ruoyu Jia
Keyword(s):  
Purchase Intention ◽  
Completion Time ◽  
Human Machine Interface ◽  
Initial Population ◽  
Entropy Theory ◽  
Evolutionary Mechanism ◽  
Traffic Efficiency ◽  
Driving Assistance ◽  
Within Subjects ◽  
Machine Interface

The study analyzed the drivers’ take-over behaviors in intelligent cars when driving on urban roads and tried to find reasonable dimensions of the human-machine interface. Firstly, the main driving assistance functions in the process of take-over were analyzed based on the entropy theory, and the weight values of each function for the consumer’s purchase intention were calculated. Secondly, we explored the perceived comfortable dimensions of the interactive components under typical interaction modes. By means of experiments using a within-subjects design, the initial population of the evolutionary computation was obtained. The evolutionary mechanism of dimensions driven by users’ perception was constructed with a genetic algorithm. After debugging the parameters of the model, we verified the rationality of the model and evolved appropriate dimensions. Finally, the validity of the evolved dimensions was proved by a controlled experiment and paired-sample t-test. The results indicated that the completion time of most take-over tasks under the HMI with the evolved dimensions was significantly shorter, which ensured the HMI could be more conducive to the take-over quality and traffic efficiency.

scholarly journals Challenges and Opportunities in Developing Next Generation In-Vehicle HMI Systems

2019 ◽  
Vol 63 (1) ◽  
pp. 2115-2116
Author(s):  
Rebecca Williamson ◽  
Yu Zhang ◽  
Bruce Mehler ◽  
Ying Wang
Keyword(s):  
Artificial Intelligence ◽  
Human Factors ◽  
Market Share ◽  
User Behavior ◽  
Autonomous Driving ◽  
Human Machine Interface ◽  
Next Generation ◽  
Challenges And Opportunities ◽  
Machine Interface ◽  
User Friendly

The next generation of automotive human machine interface (HMI) systems is expected to be heavily dependent upon artificial intelligence; from autonomous driving to speech assistance, from gesture & touch-enabled interfaces to web & mobile integration. Smooth, safe, and user-friendly interaction between the driver and the vehicle is a key to winning market share. This panel aims to discuss challenges and opportunities for the next generation of automotive HMI from the perspective of human factors and user behavior. Panelists from industry and academia will offer their unique perspectives on the concerns and opportunities in developing future in-vehicle HMIs.

scholarly journals The camera never lies, or does it? The dangers of taking CCTV surveillance at face value

2011 ◽  
Vol 8 (4) ◽  
pp. 527-534 ◽  
Author(s):  
Alex Stedmon
Keyword(s):  
Human Factors ◽  
Human Machine Interface ◽  
Closed Circuit ◽  
Closed Circuit Television ◽  
Machine Interface ◽  
Recorded Image ◽  
Cctv Surveillance

How many of us question what we’re shown via closed circuit television (CCTV) as being the truth of a situation?  Can clear and easily identifiable images be wrong?  And if they are, how can you argue against the power of the recorded image from a legal standpoint?  Can Human Factors help us improve surveillance for society?  In this real example of improper CCTV surveillance, can CCTV always be taken at face value?  The simple answer is no, but how many people accept what they’re shown without question and end up paying the penalties?  This paper examines a case study where all that appeared on the CCTV image was not as it seemed.  It then considers the underlying human factors issues of CCTV technologies for surveillance and the importance of understanding the fundamental human-machine interface.

Sign in / Sign up

Export Citation Format

Share Document