Sean Seaman
Sean Seaman
Unknown affiliation
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Cited by
Cited by
MIT advanced vehicle technology study: Large-scale naturalistic driving study of driver behavior and interaction with automation
L Fridman, DE Brown, M Glazer, W Angell, S Dodd, B Jenik, J Terwilliger, ...
IEEE Access 7, 102021-102038, 2019
Mit autonomous vehicle technology study: Large-scale deep learning based analysis of driver behavior and interaction with automation
L Fridman, DE Brown, M Glazer, W Angell, S Dodd, B Jenik, J Terwilliger, ...
arXiv preprint arXiv:1711.06976 1, 2017
Glass half-full: On-road glance metrics differentiate crashes from near-crashes in the 100-Car data
BD Seppelt, S Seaman, J Lee, LS Angell, B Mehler, B Reimer
Accident Analysis & Prevention 107, 48-62, 2017
The tactile detection response task: preliminary validation for measuring the attentional effects of cognitive load
RA Young, L Hsieh, S Seaman
Driving Assessment Conference 7 (2013), 2013
Conversation effects on neural mechanisms underlying reaction time to visual events while viewing a driving scene: fMRI analysis and asynchrony model
L Hsieh, RA Young, SM Bowyer, JE Moran, RJ Genik II, CC Green, ...
Brain Research 1251, 162-175, 2009
What can be predicted from six seconds of driver glances?
L Fridman, H Toyoda, S Seaman, B Seppelt, L Angell, J Lee, B Mehler, ...
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017
Recognition of spoken words: Semantic effects in lexical access
LH Wurm, DA Vakoch, SR Seaman
Language and Speech 47 (2), 175-204, 2004
Automated driving system collisions: Early lessons
W Biever, L Angell, S Seaman
Human factors 62 (2), 249-259, 2020
Driver behavior and the use of automation in real-world driving
P Gershon, S Seaman, B Mehler, B Reimer, J Coughlin
Accident Analysis & Prevention 158, 106217, 2021
Semantic effects in naming perceptual identification but not in delayed naming: Implications for models and tasks.
LH Wurm, SR Seaman
Journal of Experimental Psychology: Learning, Memory, and Cognition 34 (2), 381, 2008
It’s all in the timing: Using the attend algorithm to assess texting in the nest naturalistic driving database
S Seaman, J Lee, B Seppelt, L Angell, B Mehler, B Reimer
Driving Assessment Conference 9 (2017), 2017
Considering the human across levels of automation: Implications for reliance
B Seppelt, B Reimer, L Angell, S Seaman
Driving assessment conference 9 (2017), 2017
Semantic processing in auditory lexical decision: Ear-of-presentation and sex differences
LH Wurm, RD Whitman, SR Seaman, L Hill, HM Ulstad
Cognition and emotion 21 (7), 1470-1495, 2007
The dimensional model of driver demand: visual-manual tasks
R Young, S Seaman, L Hsieh
SAE International journal of transportation safety 4 (1), 33-71, 2016
Effect of emotional speech tone on driving from lab to road: fMRI and ERP studies
L Hsieh, S Seaman, R Young
Proceedings of the 2nd International Conference on Automotive User …, 2010
Linking the detection response task and the attend algorithm through assessment of human–machine interface workload
J Lee, BD Sawyer, B Mehler, L Angell, BD Seppelt, S Seaman, L Fridman, ...
Transportation research record 2663 (1), 82-89, 2017
Validation of the static load test for event detection during hands-free conversation
RA Young, TS Angell, JM Sullivan, S Seaman, L Hsieh
Driving Assessment Conference 5 (2009), 2009
Semantic effects in auditory word recognition
LH Wurm, DA Vakoch, SR Seaman, L Buchanan
Mental lexicon working papers 1, 47-62, 2004
A surrogate test for cognitive demand: tactile detection response task (TDRT)
L Hsieh, S Seaman, R Young
SAE Technical Paper, 2015
Development of the enhanced peripheral detection task: a surrogate test for driver distraction
L Hsieh, R Young, S Seaman
SAE International journal of passenger cars-electronic and electrical …, 2012
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