Naturalistic Engagement in Secondary Tasks (NEST) Dataset

Project Description The Naturalistic Engagement in Secondary Tasks (NEST) data set is the product of a collaboration between the Virginia Tech Transportation Institute (VTTI) and the Toyota Collaborative Safety Research Center (Toyota CSRC). The purpose of the project was to develop a dataset that would enable users to study multiple aspects of secondary task involvement including factors which may contribute to distraction and to distraction-related safety-critical events (SCEs) that include a crash or near-crash (C/NC). The dataset also includes baseline epochs to aid in future research. The dataset is available to researchers, providing de-identified, highly detailed time-series data as well as additional high-level data about both secondary task engagement and distraction-related SCEs during real-world driving. Further information about the construction of this data set can be found in Owens, Angell, Hankey, Foley, Ebe (2015) , and information regarding specific variables in the data set can be found in the accompanying NEST Data Dictionary. Data Request Scope Detailed information about glances, hands-off-wheel, and secondary task activities, as well as event summary data, were coded for the time period surrounding C/NC and baseline events, while high-level information about secondary task engagement was coded for the entire trips prior to these events and baselines, up to 20 minutes (with oversampling for longer trips). Data Specification The data set consists of 1,180 Microsoft Excel files.