International Journal of Vehicular Technology

Advances of Human Factors Research for Future Vehicular Technology


Publishing date
01 Feb 2013
Status
Published
Submission deadline
14 Sep 2012

1Human Technology Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba 305-8566, Japan

2University of Michigan Transportation Research Institute, Ann Arbor, MI 48109-2150, USA

3Institute of Ergonomics, Technische Universität München, 85747 Garching, Germany


Advances of Human Factors Research for Future Vehicular Technology

Description

Although automotive human factors research begun after the World War II, automotive technology has developed to adapt the vehicle to the human operator since it was born, with the initial focus being on steering wheel and foot brake pedal and methods to illuminate the road at night. For many decades, human factors research concerned mainly cabin layout, visibility, and handling. More recently, with the introduction of driver assistance systems, there has been a resurgence of quantitative studies of driver behavior on real roads and driving simulators to help design and evaluate those systems. That line of human factors research will continue as vehicle automation increases. Another line of research concerns driver distraction, with a special concern being the use of mobile devices such as as cellular phones when the vehicle is in motion. Further, the internet environment is being brought into the vehicle: make the vehicle a “node in the network.” The implementation of driver assistance and information system has resulted in a shift in automotive human factors research. We invite authors to submit original research articles as well as review articles that describe recent developments in automotive human factors research as well as directions for the future. Potential topics include, but are not limited to:

  • Driver assistance systems (studies to help design and evaluate them, personalization, use of and reliance upon partially and fully automated systems)
  • Driver interfaces, distraction, and workload (methods for assessment and evaluation, speech interfaces, gestures, HUDs, warnings, general issues of interaction design)
  • Ethnographic and other new methods for studying on driver's behavior and emotional responses to vehicle
  • Service engineering studies of vehicle mobility and internet services

To encourage the application of findings, authors are requested, if pertinent, to identify the relevant sections of ISO, SAE, JSAE standards and government regulations and policies or corporate practices to which their research applies.

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/ijvt/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2013
  • - Article ID 749089
  • - Editorial

Advances of Human Factors Research for Future Vehicular Technology

Motoyuki Akamatsu | Paul Green | Klaus Bengler
  • Special Issue
  • - Volume 2013
  • - Article ID 285927
  • - Research Article

Analysis of Temporal Relationships between Eye Gaze and Peripheral Vehicle Behavior for Detecting Driver Distraction

Takatsugu Hirayama | Kenji Mase | Kazuya Takeda
  • Special Issue
  • - Volume 2013
  • - Article ID 526180
  • - Review Article

Automotive Technology and Human Factors Research: Past, Present, and Future

Motoyuki Akamatsu | Paul Green | Klaus Bengler
  • Special Issue
  • - Volume 2013
  • - Article ID 972570
  • - Research Article

The Front Seat Passenger: How to Transfer Qualitative Findings into Design

Sebastian Osswald | Petra Sundström | Manfred Tscheligi
  • Special Issue
  • - Volume 2013
  • - Article ID 951762
  • - Research Article

Human’s Overtrust in and Overreliance on Advanced Driver Assistance Systems: A Theoretical Framework

Toshiyuki Inagaki | Makoto Itoh
  • Special Issue
  • - Volume 2013
  • - Article ID 912860
  • - Research Article

Predicting Driver Behavior Using Field Experiment Data and Driving Simulator Experiment Data: Assessing Impact of Elimination of Stop Regulation at Railway Crossings

Toshihisa Sato | Motoyuki Akamatsu | ... | Kazunori Hayama
  • Special Issue
  • - Volume 2013
  • - Article ID 924170
  • - Review Article

Development and Evaluation of Automotive Speech Interfaces: Useful Information from the Human Factors and the Related Literature

Victor Ei-Wen Lo | Paul A. Green
  • Special Issue
  • - Volume 2013
  • - Article ID 705086
  • - Research Article

Evaluation of a Navigation Radio Using the Think-Aloud Method

Paul A. Green | Jin-Seop Park
  • Special Issue
  • - Volume 2012
  • - Article ID 807805
  • - Research Article

A Neurofuzzy Approach to Modeling Longitudinal Driving Behavior and Driving Task Complexity

R. G. Hoogendoorn | B. van Arem | S. P. Hoogendoorn
  • Special Issue
  • - Volume 2012
  • - Article ID 876892
  • - Research Article

A Comparative Analysis of Subjective Quality of the Mobility between a New Portable Electric Transportation Mode and Walking

Hiroyuki Ohta | Haruyuki Matsumoto | ... | Satoshi Fujii

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