J. Engström

发表

Understanding attention selection in driving: From limited capacity to adaptive behaviour

J. Engström, 2011 .

Great expectations: a predictive processing account of automobile driving

Johan Engström, Daniel Nilsson, Gustav Markkula, 2018 .

Effects of Visual and Cognitive Distraction on Lane Change Test Performance

J. Engström, 2017 .

A conceptual framework and taxonomy for understanding and categorizing driver inattention

Christopher A. Monk, Johan Engström, C. Monk, 2013 .

Attention selection and multitasking in everyday driving: A conceptual model

T. Victor, J. Engström, G. Markkula, 2013 .

A model of attention selection in driving

J. Engström, 2008 .

Attention selection and task interference indriving: an action-oriented view

Johan Engström, Gustav Markkula, J. Engström, 2009 .

Dissemination Level Pu Contract N. Ist-1-507674-ip Information Society Technologies (ist) Programme Aide Review of Existing Techniques and Metrics for Ivis and Adas Assessment Subproject Title Evaluation and Assessment Methodology Workpackage Title Driver Workload and Distraction and Assessment Meth

A Toffetti, C Gelau, E. Johansson, 2022 .

Dissemination Level Pu Contract N. Ist-1-507674-ip Information Society Technologies (ist) Programme Aide Interaction Plan, M13-30 Dissemination Level Pu Contract N. Ist-1-507674-ip History Table

J. Engström, Volvo, 2022 .

Modeling Road User Response Timing in Naturalistic Traﬃc Conﬂicts: A surprise-based framework

Shu-Yuan Liu, J. Engström, Camelia Simoiu, 2022 .

Collision Avoidance Effectiveness of an Automated Driving System Using a Human Driver Behavior Reference Model in Reconstructed Fatal Collisions

Kristofer D. Kusano, J. Engström, J. Scanlon, 2022 .

Effects of Cognitive Load on Driving Performance: The Cognitive Control Hypothesis

Natasha Merat, Johan Engström, Gustav Markkula, 2017, Hum. Factors.

A General Conceptual Framework for Modelling Behavioural Effects of Driver Support Functions

Johan Engström, Erik Hollnagel, E. Hollnagel, 2007 .

A farewell to brake reaction times? Kinematics-dependent brake response in naturalistic rear-end emergencies.

Gustav Markkula, Jonas Bärgman, Trent Victor, 2016, Accident; analysis and prevention.

Effects of visual and cognitive load in real and simulated motorway driving

Johan Engström, Joakim Östlund, Emma Johansson, 2005 .

A Review of Research on Driving Styles and Road Safety

Fridulv Sagberg, Johan Engström, Selpi, 2015, Hum. Factors.

The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications

Charles A. Green, Makoto Itoh, Natasha Merat, 2018, Cognition, Technology & Work.

Analysis of Naturalistic Driving Study Data: Safer Glances, Driver Inattention, and Crash Risk

Marco Dozza, Johan Engström, Gustav Markkula, 2014 .

Effects of cognitive load on response time in an unexpected lead vehicle braking scenario and the detection response task (DRT)

Bo Svanberg, Mikael Ljung Aust, Johan Engström, 2018, Transportation Research Part F: Traffic Psychology and Behaviour.

Effects of forward collision warning and repeated event exposure on emergency braking

Matias Viström, Johan Engström, Mikael Ljung Aust, 2013 .

Effects of Working Memory Load and Repeated Scenario Exposure on Emergency Braking Performance

Johan Engström, Mikael Ljung Aust, Matias Viström, 2010, Hum. Factors.

How Do Drivers Respond to Silent Automation Failures? Driving Simulator Study and Comparison of Computational Driver Braking Models

Gustav Markkula, Jesper Sandin, Esko Lehtonen, 2019, Hum. Factors.

Sensitivity of eye-movement measures to in-vehicle task difficulty

Johan Engström, Trent Victor, Joanne L. Harbluk, 2005 .

Is There a Link Between Risk Management and Company Value

J. Engström, Carolina Niveman, 2013 .

Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures

Johan Engström, Gustav Markkula, Anthony D. McDonald, 2019, Hum. Factors.

Modeling road user response timing in naturalistic settings: a surprise-based framework

Shu-Yuan Liu, J. Engström, Camelia Simoiu, 2022, ArXiv.

A conceptual framework for requirement specification and evaluation of active safety functions

M. Ljung Aust, J. Engström, M. Ljung Aust, 2011 .

HMI and Safety-Related Driver Performance

Karel Brookhuis, Natasha Merat, Johan Engström, 2004 .

Simulating the effect of cognitive load on braking responses in lead vehicle braking scenarios

Natasha Merat, Gustav Markkula, Qingwan Xue, 2018 .

Driver visual behavior while using adaptive cruise control on commercial motor vehicles

S. Soccolich, R. Hanowski, J. Engström, 2019, Transportation Research Part F: Traffic Psychology and Behaviour.

The relationship between the Driver Behavior Questionnaire, Sensation Seeking Scale, and recorded crashes: A brief comment on Martinussen et al. (2017) and new data from SHRP2.

Felix A. Dreger, S. Soccolich, J. Engström, 2018, Accident; analysis and prevention.

Factors contributing to commercial vehicle rear-end conflicts in China: A study using on-board event data recorders.

Xuesong Wang, Jonas Bärgman, Johan Engström, 2017, Journal of safety research.

Comparison between Visual and Tactile Signal Detection Tasks Applied to the Safety Assessment of In-Vehicle Information Systems

Johan Engström, Nina Aberg, Emma Johansson, 2017 .

Modeling road user response timing in naturalistic settings: a surprise-based framework

Shu-Yuan Liu, J. Engström, Camelia Simoiu, 2022, ArXiv.

A Review of Research on Driving Styles and Road Safety

Selpi, F. Sagberg, J. Engström, 2015, Hum. Factors.

Building a Credible Case for Safety: Waymo's Approach for the Determination of Absence of Unreasonable Risk

Kristofer D. Kusano, T. Victor, F. Favarò, 2023, ArXiv.

D16.3 Proposal of procedures for assessment of preventive and active safety functions

Mariana Netto, J M Blosseville, Mikael Ljung Aust, 2007 .

Measuring Surprise in the Wild

J. Engström, Azadeh DinparastDjadid, Isaac Supeene, 2023, ArXiv.