Bryan Reimer
Cited by
Cited by
Impact of incremental increases in cognitive workload on physiological arousal and performance in young adult drivers
B Mehler, B Reimer, JF Coughlin, JA Dusek
Transportation research record 2138 (1), 6-12, 2009
Sensitivity of physiological measures for detecting systematic variations in cognitive demand from a working memory task: an on-road study across three age groups
B Mehler, B Reimer, JF Coughlin
Human factors 54 (3), 396-412, 2012
Models for Recycling Electronics End-of-Life Products
M Sodhi, B Reimer
Advanced Planning and Scheduling Solutions in Process Industry, 377-396, 2003
Older adult perceptions of smart home technologies: implications for research, policy & market innovations in healthcare
JF Coughlin, LA D'Ambrosio, B Reimer, MR Pratt
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual …, 2007
Glance analysis of driver eye movements to evaluate distraction
M Sodhi, B Reimer, I Llamazares
Behavior Research Methods, Instruments, & Computers 34, 529-538, 2002
Classifying Driver Workload Using Physiological and Driving Performance Data: Two Field Studies
ET Solovey, M Zec, EAG Perez, B Reimer, B Mehler
CHI 2014, 2014
Impact of cognitive task complexity on drivers’ visual tunneling
B Reimer
Transportation Research Record 2138 (1), 13-19, 2009
The validity of driving simulation for assessing differences between in-vehicle informational interfaces: A comparison with field testing
Y Wang, B Mehler, B Reimer, V Lammers, LA D'Ambrosio, JF Coughlin
Ergonomics 53 (3), 404-420, 2010
The impact of cognitive workload on physiological arousal in young adult drivers: a field study and simulation validation
B Reimer, B Mehler
Ergonomics 54 (10), 932-942, 2011
Autonomous vehicles and alternatives to driving: trust, preferences, and effects of age
H Abraham, C Lee, S Brady, C Fitzgerald, B Mehler, B Reimer, ...
Proceedings of the transportation research board 96th annual meeting, 8-12, 2017
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
Using self-reported data to assess the validity of driving simulation data
B Reimer, LA D’Ambrosio, JF Coughlin, ME Kafrissen, J Biederman
Behavior research methods 38 (2), 314-324, 2006
Autonomous vehicles, trust, and driving alternatives: A survey of consumer preferences
H Abraham, C Lee, S Brady, C Fitzgerald, B Mehler, B Reimer, ...
Massachusetts Inst. Technol, AgeLab, Cambridge 1 (16), 2018-12, 2016
Driver gaze region estimation without use of eye movement
L Fridman, P Langhans, J Lee, B Reimer
IEEE Intelligent Systems 31 (3), 49-56, 2016
A field study on the impact of variations in short-term memory demands on drivers’ visual attention and driving performance across three age groups
B Reimer, B Mehler, Y Wang, JF Coughlin
Human factors 54 (3), 454-468, 2012
MIT AgeLab delayed digit recall task (n-back)
B Mehler, B Reimer, JA Dusek
Cambridge, MA: Massachusetts Institute of Technology 17, 2011
The sensitivity of different methodologies for characterizing drivers’ gaze concentration under increased cognitive demand
Y Wang, B Reimer, J Dobres, B Mehler
Transportation research part F: traffic psychology and behaviour 26, 227-237, 2014
To walk or not to walk: Crowdsourced assessment of external vehicle-to-pedestrian displays
L Fridman, B Mehler, L Xia, Y Yang, LY Facusse, B Reimer
arXiv preprint arXiv:1707.02698, 2017
Cognitive load estimation in the wild
L Fridman, B Reimer, B Mehler, WT Freeman
Proceedings of the 2018 chi conference on human factors in computing systems …, 2018
Monitoring, managing, and motivating driver safety and well-being
JF Coughlin, B Reimer, B Mehler
IEEE Pervasive Computing 10 (3), 14-21, 2011
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