CLW 2015: The Fifth Workshop on Cognitive Load and In-Vehicle Human-Machine Interaction

Publication date

2015

Authors

Kun, Andrew
Gable, Thomas M.
Green, Paul A.
Reimer, Bryan
Janssen, C.P.ORCID 0000-0002-9849-404XISNI 0000000427320370
Froehlich, Peter
Heeman, Peter A.
Miller III, W. Thomas
Iqbal, Shamsi T.
Tashev, Ivan

Editors

Advisors

Supervisors

DOI

Document Type

Part of book
Open Access logo

License

Abstract

Interactions with in-vehicle electronic devices can interfere with the primary task of driving and increase crash risk. Interactions with in-vehicle interfaces draw upon visual, auditory, psychomotor, and cognitive resources. Researchers often investigate how these resources interfere with performance through the use of different measurement techniques, particularly doing so in applied settings such as automotive scenarios. The goal of this workshop is to share knowledge with the community regarding the theoretical underpinnings, collection, and filtering of physiological data, particularly focusing on heart rate, electrodermal activity (skin conductance, galvanic skin response, GSR, etc.) measures, and electroencephalography (EEG) as a measure of cognitive load within the scope of automotive research. The workshop will describe and demonstrate the physiology behind changes detected, approaches and issues in regards to collection, and successful methods of filtering data from heart rate and electrodermal measures. The focus of the workshop will be on ensuring participants acquire an understanding of the theoretical reasoning behind the measures shown in the workshop as well as practical knowledge of how to collect and filter data.

Keywords

Cognitive Load, estimation, Management, Driving, physiological measurement, Taverne

Citation

Kun, A, Gable, T M, Green, P A, Reimer, B, Janssen, C P, Froehlich, P, Heeman, P A, Miller III, W T, Iqbal, S T & Tashev, I 2015, CLW 2015: The Fifth Workshop on Cognitive Load and In-Vehicle Human-Machine Interaction. in CLW 2015: The Fifth Workshop on Cognitive Load and In-Vehicle Human-Machine Interaction. Association for Computing Machinery. < http://clw.hciunh.org/ >