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Bryan Reimer

Bryan Reimer

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
9514
World Ranking
4083
National Ranking
1175

Overview

Bryan Reimer is affiliated with the Massachusetts Institute of Technology (MIT) in the United States. Their research intersects the fields of Psychology and Engineering, with a balanced portfolio of 48 publications in each field. Within these areas, they focus on subfields including Social Psychology, Safety, Risk, Reliability and Quality, Automotive Engineering, Computer Vision and Pattern Recognition, and Physical Therapy, Sports Therapy and Rehabilitation.

The scientist's primary research themes center on Human-Automation Interaction and Safety, Traffic and Road Safety, Safety Warnings and Signage, Autonomous Vehicle Technology and Safety, Older Adults Driving Studies, Traffic Control and Management, and Gaze Tracking and Assistive Technology.

Significant recent papers authored or co-authored by Bryan Reimer include:

  • A model for naturalistic glance behavior around Tesla Autopilot disengagements, 2021, Accident Analysis & Prevention
  • Disengagement from driving when using automation during a 4-week field trial, 2021, Transportation Research Part F Traffic Psychology and Behaviour
  • Driver behavior and the use of automation in real-world driving, 2021, Accident Analysis & Prevention
  • Interdependence in Vehicle-Pedestrian Encounters and its Implications for Vehicle Automation, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Driver-Pedestrian Perceptual Models Demonstrate Coupling: Implications for Vehicle Automation, 2022, IEEE Transactions on Human-Machine Systems

Bryan Reimer frequently publishes in venues such as:

  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • Transportation Research Part F Traffic Psychology and Behaviour
  • Accident Analysis & Prevention
  • Traffic Injury Prevention
  • Ergonomics

Key co-authors collaborating with Bryan Reimer include Bruce Mehler, Pnina Gershon, T. Zach Noonan, Ian J. Reagan, and Jessica B. Cicchino. The collaboration counts range notably from seven to thirty-seven joint works.

The scientist's research contributions provide insights into driver behavior, automation disengagement, vehicle-pedestrian interactions, and perceptual coupling relevant to the development and safety assessments of automated vehicle technologies.

Best Publications

  • Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers

    Bruce Mehler;Bryan Reimer;Joseph F. Coughlin;Jeffery A. Dusek

  • Sensitivity of physiological measures for detecting systematic variations in cognitive demand from a working memory task: an on-road study across three age groups.

    Bruce Mehler;Bryan Reimer;Joseph F. Coughlin

  • Models for recycling electronics end-of-life products

    Manbir S. Sodhi;Bryan Reimer

  • Older Adult Perceptions of Smart Home Technologies: Implications for Research, Policy & Market Innovations in Healthcare

    J.F. Coughlin;L.A. D'Ambrosio;B. Reimer;M.R. Pratt

  • Impact of Cognitive Task Complexity on Drivers' Visual Tunneling

    Bryan Reimer

  • Glance analysis of driver eye movements to evaluate distraction.

    Manbir Sodhi;Bryan Reimer;Ignacio Llamazares

  • The validity of driving simulation for assessing differences between in-vehicle informational interfaces: A comparison with field testing

    Yanfu Wang;Bruce Mehler;Bryan Reimer;Vincent Lammers

  • The Impact of Cognitive Workload on Physiological Arousal in Young Adult Drivers: A Field Study and Simulation Validation

    Bryan Reimer;Bruce Mehler

  • MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation

    Lex Fridman;Daniel E. Brown;Michael Glazer;William Angell

  • Classifying driver workload using physiological and driving performance data: two field studies

    Erin T. Solovey;Marin Zec;Enrique Abdon Garcia Perez;Bryan Reimer

  • A Field Study on the Impact of Variations in Short-Term Memory Demands on Drivers’ Visual Attention and Driving Performance Across Three Age Groups

    Bryan Reimer;Bruce Mehler;Ying Wang;Joseph F. Coughlin

  • Using self-reported data to assess the validity of driving simulation data.

    Bryan Reimer;Bryan Reimer;Lisa A. D’Ambrosio;Joseph F. Coughlin;Michael E. Kafrissen

  • Driver Gaze Region Estimation without Use of Eye Movement

    Lex Fridman;Philipp Langhans;Joonbum Lee;Bryan Reimer

  • The sensitivity of different methodologies for characterizing drivers’ gaze concentration under increased cognitive demand

    Ying Wang;Ying Wang;Bryan Reimer;Jonathan Dobres;Bruce Mehler

  • Monitoring, managing, and motivating driver safety and well-being

    J. F. Coughlin;B. Reimer;B. Mehler

  • Behavior differences in drivers with attention deficit hyperactivity disorder: the driving behavior questionnaire.

    Bryan Reimer;Lisa A. D’Ambrosio;Jennifer Gilbert;Joseph F. Coughlin

  • Autonomous Vehicles and Alternatives to Driving: Trust, Preferences, and Effects of Age

    Hillary Abraham;Chaiwoo Lee;Samantha Brady;Craig Fitzgerald

  • Cognitive Load Estimation in the Wild

    Lex Fridman;Bryan Reimer;Bruce Mehler;William T. Freeman

  • More than the Useful Field: Considering peripheral vision in driving

    Benjamin Wolfe;Jonathan Dobres;Ruth Rosenholtz;Bryan Reimer

  • Driver Assistance Systems and the Transition to Automated Vehicles: A Path to Increase Older Adult Safety and Mobility?

    Bryan Reimer

  • On-road driver eye movement tracking using head-mounted devices

    M. Sodhi;B. Reimer;J. L. Cohen;E. Vastenburg

  • Characterizing impaired driving in adults with attention-deficit/hyperactivity disorder: A controlled study.

    Ronna Fried;Carter R. Petty;Craig B. Surman;Bryan Reimer

  • An investigation of the relationship between the driving behavior questionnaire and objective measures of highway driving behavior

    Nan Zhao;Nan Zhao;Bruce Mehler;Bryan Reimer;Lisa A. D’Ambrosio

Frequent Co-Authors

Ronna Fried
Ronna Fried Harvard University
Shamsi T. Iqbal
Shamsi T. Iqbal Microsoft (United States)
Ivan Tashev
Ivan Tashev Microsoft (United States)
Björn Schuller
Björn Schuller Imperial College London
Linda Ng Boyle
Linda Ng Boyle University of Washington
John D. Lee
John D. Lee University of Wisconsin–Madison
Gavriel Salvendy
Gavriel Salvendy University of Central Florida

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