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From:
"Kun, Andrew" <[log in to unmask]>
Reply To:
Kun, Andrew
Date:
Mon, 5 Aug 2013 14:28:54 +0000
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Cognitive Load and In-Vehicle Human-Machine Interaction
Workshop at AutomotiveUI 2013<http://www.auto-ui.org/13/>
Workshop date: October 27, 2013
Submission deadline: August 30, 2013
http://www.auto-ui-cogload.unh.edu/

In-vehicle human-machine interaction (HMI) can interfere with the primary task of driving. The concept of cognitive load can help us understand the extent to which these interactions interfere with the driving task and how this interference can be mitigated. While research results on in-vehicle cognitive load are frequently presented at automotive research conferences and in related journals, CLW 2013, the third in the series, will provide a unique forum for focused discussions on this topic.

We solicit 2, 4, and 8 page papers exploring issues in cognitive load estimation and management for interactions with in-vehicle devices. Authors are encouraged to also include at least one paragraph addressing standardization, including the introduction of standard definitions, toolsets, and corpora, which could be used to make new results replicable and easily compared to the results of others. Additionally, position papers on standardization are also solicited. Topics of interest include:


·        Cognitive load estimation in the laboratory,

·        Cognitive load estimation on the road,

·        Sensing technologies for cognitive load estimation,

·        Algorithms for cognitive load estimation,

·        Performance measures of cognitive load,

·        Physiological measures of cognitive load,

·        Visual measures of cognitive load,

·        Subjective measures of cognitive load,

·        Methods for benchmarking cognitive load,

·        Cognitive load of driving,

·        Cognitive overload and cognitive underload,

·        Approaches to cognitive load management inspired by human-human interactions.


Organizing committee and program committee members:

Andrew L. Kun,  University of New Hampshire, USA
Bryan Reimer,  Massachusetts Institute of Technology, USA
Peter Froehlich,  Telecommunications Research Center Vienna, Austria
Peter A. Heeman,  Center for Spoken Language Understanding,  Oregon Health and Science University, USA
W. Thomas Miller, III,  University of New Hampshire, USA
Paul A. Green,  Transportation Research Institute,  University of Michigan, USA
Ivan Tashev,  Microsoft Research, USA
Shamsi Iqbal,  Microsoft Research, USA
Dagmar Kern,  Bertrandt Ingenieurbüro GmbH, Germany
Bret Harsham, MERL, USA
Jessica Jung, Fraunhofer IESE, Germany
Zeljko Medenica, Nuance, USA
Sachi Mizobuchi, University of Toronto, Canada
Annie Pauzie, IFSTTAR/LESCOT, France
Joonwoo Soon, Daegu Gyeongbuk Institute of Science and Technology, Korea
Jessica Villing, Göteborg University, Sweden

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