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

Andrew Kun, Thomas M. Gable, Paul A. Green, Bryan Reimer, C.P. Janssen, Peter Froehlich, Peter A. Heeman, W. Thomas Miller III, Shamsi T. Iqbal, Ivan Tashev

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.
Original languageEnglish
Title of host publicationCLW 2015: The Fifth Workshop on Cognitive Load and In-Vehicle Human-Machine Interaction
PublisherAssociation for Computing Machinery
Number of pages3
Publication statusPublished - 2015

Keywords

  • Cognitive Load
  • estimation
  • Management
  • Driving
  • physiological measurement

Fingerprint

Dive into the research topics of 'CLW 2015: The Fifth Workshop on Cognitive Load and In-Vehicle Human-Machine Interaction'. Together they form a unique fingerprint.

Cite this