Usability of in-vehicle systems has become increasingly important for ease of operations and safety of driving. The user interface (UI) of in-vehicle systems is a critical focus of usability study. This paper studies how to use advanced computational, physiology- and behavior-based tools and methodologies to determine affective/emotional states and behavior of an individual in real time and in turn how to adapt the human-vehicle interaction to meet users' cognitive needs based on the real-time assessment. Specifically, we set up a set of physiological sensors that are capable of collecting EEG, facial EMG, skin conductance response, and respiration data and a set of motion sensing and tracking equipment that is capable of capturing eye ball movement and objects which the user is interacting with. All hardware components and software are integrated into an augmented sensor platform that can perform as “one coherent system” to enable multimodal data processing and information inference for context-aware analysis of emotional states and cognitive behavior based on the rough set inference engine. Meanwhile subjective data are also recorded for comparison. A usability study of in-vehicle system UI is shown to demonstrate the potential of the proposed methodology.
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June 2014
Research-Article
Augmented Affective-Cognition for Usability Study of In-Vehicle System User Interface
Feng Zhou,
Feng Zhou
Mem. ASME
The G.W. Woodruff School
of Mechanical Engineering,
e-mail: fzhou35@gatech.edu
The G.W. Woodruff School
of Mechanical Engineering,
Georgia Institute of Technology
,813 Ferst Drive
,Atlanta, GA 30332-0405
e-mail: fzhou35@gatech.edu
Search for other works by this author on:
Yangjian Ji,
Yangjian Ji
1
Industrial Engineering Centre,
Department of Mechanical Engineering,
e-mail: mejyj@zju.edu.cn
Department of Mechanical Engineering,
Zhejiang University
,38 Zheda Rd, Hangzhou
,Zhejiang 310027
, China
e-mail: mejyj@zju.edu.cn
1Corresponding author.
Search for other works by this author on:
Roger J. Jiao
Roger J. Jiao
The G.W. Woodruff School
of Mechanical Engineering,
e-mail: rjiao@gatech.edu
of Mechanical Engineering,
Georgia Institute of Technology
,813 Ferst Drive
,Atlanta, GA 30332-0405
e-mail: rjiao@gatech.edu
Search for other works by this author on:
Feng Zhou
Mem. ASME
The G.W. Woodruff School
of Mechanical Engineering,
e-mail: fzhou35@gatech.edu
The G.W. Woodruff School
of Mechanical Engineering,
Georgia Institute of Technology
,813 Ferst Drive
,Atlanta, GA 30332-0405
e-mail: fzhou35@gatech.edu
Yangjian Ji
Industrial Engineering Centre,
Department of Mechanical Engineering,
e-mail: mejyj@zju.edu.cn
Department of Mechanical Engineering,
Zhejiang University
,38 Zheda Rd, Hangzhou
,Zhejiang 310027
, China
e-mail: mejyj@zju.edu.cn
Roger J. Jiao
The G.W. Woodruff School
of Mechanical Engineering,
e-mail: rjiao@gatech.edu
of Mechanical Engineering,
Georgia Institute of Technology
,813 Ferst Drive
,Atlanta, GA 30332-0405
e-mail: rjiao@gatech.edu
1Corresponding author.
Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTERS AND INFORMATION DIVISION IN ENGINEERING. Manuscript received July 19, 2013; final manuscript received December 1, 2013; published online February 12, 2014. Editor: Bahram Ravani.
J. Comput. Inf. Sci. Eng. Jun 2014, 14(2): 021001 (11 pages)
Published Online: February 12, 2014
Article history
Received:
July 19, 2013
Revision Received:
December 1, 2013
Citation
Zhou, F., Ji, Y., and Jiao, R. J. (February 12, 2014). "Augmented Affective-Cognition for Usability Study of In-Vehicle System User Interface." ASME. J. Comput. Inf. Sci. Eng. June 2014; 14(2): 021001. https://doi.org/10.1115/1.4026222
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