TY - GEN
T1 - Translating driving research from simulation to interstate driving with realistic traffic and passenger interactions
AU - Vettel, Jean M.
AU - Lauharatanahirun, Nina
AU - Wasylyshyn, Nick
AU - Roy, Heather
AU - Fernandez, Robert
AU - Cooper, Nicole
AU - Paul, Alexandra
AU - O’Donnell, Matthew Brook
AU - Johnson, Tony
AU - Metcalfe, Jason
AU - Falk, Emily B.
AU - Garcia, Javier O.
N1 - Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature (outside the USA) 2019.
PY - 2019
Y1 - 2019
N2 - In this driving study, participants were assigned to a driver-passenger dyad and performed two drives along Interstate-95 in normal traffic conditions. During the driving session, the driver had to safely navigate the route while listening and discussing news stories that were relayed by the passenger. The driver then performed a set of memory tasks to evaluate how well they retained information from the discussion in a multitask context. We report preliminary analyses that examined subjective factors which may influence success in social communication, including trait and state similarity derived from questionnaires as well as physiological synchrony from implicit state measurements derived from brain activity data. Although this dataset is still in collection, these initial findings suggest potential metrics that capture the contextual complexity in naturalistic, multitask environments, providing a rich opportunity to study how successful communication reflects shared social and emotional experiences.
AB - In this driving study, participants were assigned to a driver-passenger dyad and performed two drives along Interstate-95 in normal traffic conditions. During the driving session, the driver had to safely navigate the route while listening and discussing news stories that were relayed by the passenger. The driver then performed a set of memory tasks to evaluate how well they retained information from the discussion in a multitask context. We report preliminary analyses that examined subjective factors which may influence success in social communication, including trait and state similarity derived from questionnaires as well as physiological synchrony from implicit state measurements derived from brain activity data. Although this dataset is still in collection, these initial findings suggest potential metrics that capture the contextual complexity in naturalistic, multitask environments, providing a rich opportunity to study how successful communication reflects shared social and emotional experiences.
UR - http://www.scopus.com/inward/record.url?scp=85053608481&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053608481&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-94223-0_12
DO - 10.1007/978-3-319-94223-0_12
M3 - Conference contribution
AN - SCOPUS:85053608481
SN - 9783319942223
T3 - Advances in Intelligent Systems and Computing
SP - 126
EP - 138
BT - Advances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2018 International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization
A2 - Cassenti, Daniel N.
PB - Springer Verlag
T2 - AHFE International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, 2018
Y2 - 21 July 2018 through 25 July 2018
ER -