CLW 2014: The Fourth Workshop on Cognitive Load and In-Vehicle Human- Machine Interaction 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, manipulative and cognitive resources, with this workshop focusing on cognitive resources for which measurement processes are less well known or established. This workshop will focus on two methods of measuring cognitive load, the Decision Response Time Task and collecting eye fixation data. The workshop will describe and demonstrate how they are collected, and discuss how the resulting data are reduced and analyzed. The focus will be on practical aspects of collecting and analyzing data using these methods, not on reporting research results. Categories and Subject Descriptors H.5.2 Information interfaces and presentation: User Interfaces. H.5.1 Multimedia information systems. General Terms Design, Experimentation, Human Factors, Measurement. Keywords Cognitive load, estimation, management, driving. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author. Copyright is held by the owner/author(s). AutomotiveUI '14, Sep 17-19 2014, Seattle, WA, USA ACM 978-1-4503-0725-3/14/09. http://dx.doi.org/10.1145/2667239.2667292 Andrew L. Kun University of New Hampshire andrew.kun@unh.edu Peter Froehlich Telecommunications Research Center (FTW) froehlich@ftw.com Paul A. Green University of Michigan pagreen@umich.edu Bryan Reimer AgeLab, MIT reimer@mit.edu Peter A. Heeman Oregon Health & Science University heemanp@ohsu.edu W. Thomas Miller, III University of New Hampshire tom.miller@unh.edu Ivan Tashev Microsoft Research ivantash@microsoft.com Shamsi Iqbal Microsoft Research shamsi@microsoft.com Thomas M. Gable Georgia Tech thomas.gable@gatech.edu