Toward Intelligent Human Machine Interactions

Author:

Lin Yingzi1

Affiliation:

1. Intelligent Human Machine Systems Lab Department of Mechanical and Industrial Engineering, College of Engineering, Northeastern University, Boston

Abstract

This article discusses the concept of human assistance systems (HAS) and research works to design the interface of HAS. It also focuses on the issue of how humans and HAS collaborate with each other during such interactions. HAS are expected to detect and compensate for human errors. In a case that a machine is a part of the team to complete an operation, it is highly desired that HAS collaborate with humans effectively. Advances on HAS have been made within application areas including vehicle driving, pilot–flight interfaces, healthcare and rehabilitation, robotics, etc. One important method for studying driver assistance system (DAS) is the availability of a powerful research tool, as the simulator is an effective means to generate real-world traffic scenarios without putting drivers in any real danger. A control strategy for HAS been investigated, especially for DAS. The goal is to provide a warning message and/or intervention to the driver if necessary to avoid hitting objects on road while not frustrating the user.

Publisher

ASME International

Subject

Mechanical Engineering

Reference15 articles.

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2. P. Wan , C.Wu, Lin, Y., X.Ma, “An On-Road Experimental Study on Driving Anger Identification Model Based on Physiological Features by ROC Curve Analysis”, IET Intelligent Transport Systems, 2017 (in press)

3. National Highway Traffic Safety Administration. Research Note: 2014 Motor Vehicle Crashes: Overview. 2016.

4. World Health Organization. WHO - Road Traffic Accidents. Retrieved from http://www.who.int/violence_injury_prevention/road_safety_status/2015/magnitude_A4_web.pdf?ua=1, 2015.

5. “i-DRIVE (Intelligent Driver Interactive Vehicle Environment): Are We Ready?”;J Automotive Safety and Energy,2016

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