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WORKSHOP DETAILS

WS02: 7th Workshop on Human Factors in Intelligent Vehicles
( Website, CFP )

Workshop Code: d114h

Organizers

  • Cristina Olaverri Monreal
    Affiliation: the University of Applied Sciences Technikum Wien, Austria
    E-mail: olaverri@technikum-wien.at

  • Fernando Garcia
    Affiliation: the University Carlos III, Madrid, Spain
    E-mail: fegarcia@ing.uc3m.es

Abstract

The Workshop on Human Factors in Intelligent Vehicles (HFIV’18) aims to foster discussion on issues related to the analysis of human factors in the design and evaluation of intelligent vehicles (IV) technologies, in a wide spectrum of applications and in different dimensions. It is expected to build upon a proper environment to disseminate knowledge and motivate interactions among the technical and scientific communities, practitioners and students, allowing state-of-theart concepts and advances to be further developed and enhanced.

Scope and Goals

This workshop is promoted by IEEE ITS Society’s Technical Activities Committee on Human Factors in Intelligent Vehicles, HFIV. It is the 7th edition to be coplaced with the IEEE Intelligent Vehicles Symposium, to be held in Changshu, Suzhou, China, June 26 - 30, 2018.

The Workshop on Human Factors in Intelligent Vehicles (HFIV’18) aims to foster discussion on issues related to the analysis of human factors in the design and evaluation of intelligent vehicles (IV) technologies, in a wide spectrum of applications and in different dimensions. It is expected to build upon a proper environment to disseminate knowledge and motivate interactions among the technical and scientific communities, practitioners and students, allowing state-ofthe- art concepts and advances to be further developed and enhanced. IV technologies have experienced a great improvement in the last couple of decades, turning vehicles into more interactive counterparts in transportation and mobility systems. However, analyzing the impact of such technologies on traffic awareness for the driver and driver’s behavior towards improving driving performance and reducing road accidents still demands proper tools and approaches. While the feasibility of incorporating new technology-driven functionality to vehicles has played a central role in the automotive design, not always safety issues related to interaction with the new in-vehicle systems have been taken into consideration. A system that guarantees efficiency of use, comfort and user satisfaction can contribute to a more conscious driving behavior that would directly result from the adoption of IV technologies.

Topics of Interest

  • Intelligent user interfaces
  • Autonomous driving
  • Human-machine interaction
  • Human-in-the-loop simulation
  • Cognitive aspects of driving
  • Human behavior and capability, affecting system’s design and operation
  • Ergonomics of traveler information systems
  • Behavior Modeling, Simulation and Analysis
  • Tools and approaches to analyze human factors
  • Data sources, naturalistic data and synthetic data
  • Data analytics and visualization in human factor analysis
  • Anthropometric layout of vehicular technical systems
  • Methodologies to optimize overall system performance
  • Mixed Reality
  • Cross-Cultural Design
  • Augmented Cognition
  • User Experience and Usability
  • Computer Aided Ergonomics Analysis
  • Cognitive Modeling
  • Effects of in-vehicle systems on driver performance
  • Tools and methodologies for usability assessment
  • Input/Output modalities in system ergonomic design
  • Learning, Anticipation, Adaption balance
  • Methodologies for driver training