Goal

The TC Human Factors in Intelligent Vehicles aims to foster activities on issues related to human factors in the design and evaluation of intelligent vehicles technologies, in a wide spectrum of applications and in different dimensions. This TAC 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-the-art concepts and advances to be further developed and enhanced.

Chair:

  • Cristina Olaverri Monreal

Scope

Whereas the feasibility of incorporating new technology-driven functionalities 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. Additionally, other aspects are equally important and need to be accounted for, such as the impact technologies that support specific driving functions play on the primary task of driving the vehicle, as well as their impact on overall performance of transportation systems. Besides current industrial achievements that feature today’s vehicles with a number of important driving assistance systems, the perspective of autonomous driving vehicles populating urban settings pose even more challenging issues.

Technologies that guarantee efficiency of use, comfort and user satisfaction are thus an important contribution towards a more conscious driving behaviour that directly results from the adoption of IV technologies.

Technical topics

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

Work Plan for 2023

  • Organization Special Session on Human Factors in Intelligent Vehicles at the ITSC 2023 and attendance to the TC meeting.
  • Organization Workshop on Human Factors in Intelligent Vehicles at the IV2023 (http://hfiv.net/)
  • Keynote “Connected & Automated Vehicles: Impact on Human Behavior & Decision-Making Processes Related to Road Safety & Sustainable Transportation” https://2023.ieee-itsc.org/keynotes/

Future planned activities and goals

Activities related to ITSS conferences

  • Consolidate the Special Sessions within IEEE ITS Conferences;
  • Consolidate the successful series of the Workshop on Human Factors in Intelligent Vehicles, within IEEE IV Conferences;

Activities related to ITSS Publications

  • Promote Students’ Activities at IEEE ITS Society’s Conferences, related to topics of interest to our HFITS Technical Committee.

Members

  • Assoc. Prof. Dr. Liu Kai, Dalian University of Technology, China
  • Assoc. Prof. Dr. Kimihiko Nakano, University of Tokyo, Japan
  • Assoc. Prof. Dr. Hu Hongyu, Jilin University, Changchun, China
  • Xuewu JI, Tsinghua University, Beijing, China
  • Prof. Rencheng Zheng, Dalian University of Technology, China
  • Dr. Fernando Garcia, University Carlos III, Madrid, Spain
  • Dr. Xuefeng Zhu, Dalian University of Technology, China
  • Dr. Joonwoo Son, Daegu Gyeongbuk Institute of Science & Technology, South Korea

As of June 6, 2023