Effects of Working Memory Load and Repeated Scenario Exposure on Emergency Braking Performance. - Johan Engström; Mikael Ljung Aust; Matias Viström (Hum. Factors, 2010)

Towards User-Centred Development of Integrated Information, Warning, and Intervention Strategies for Multiple ADAS in the EU Project interactIVe. - Tobias Hesse; Johan Engström; Emma Johansson; Giuseppe Varalda; Martin Brockmann; Amon Rambaldini; Nicola Fricke; Frank Flemisch; Frank Köster; Lena Kanstrup (HCI (7), 2011)

Development and Application of an Integrated Evaluation Framework for Preventive Safety Applications. - Johan Scholliers; Somya Joshi; Maria Gemou; Falke Hendriks; Mikael Ljung Aust; Juha Luoma; Mariana S. Netto; Johan Engström; Susanna Leanderson Olsson; Ralf Kutzner; Fabio Tango; Angelos Amditis; et al. (IEEE Trans. Intell. Transp. Syst., 2011)

A Review of Research on Driving Styles and Road Safety. - Fridulv Sagberg; Selpi; Giulio Francesco Bianchi Piccinini; Johan Engström (Hum. Factors, 2015)

Effects of Cognitive Load on Driving Performance: The Cognitive Control Hypothesis. - Johan Engström; Gustav Markkula; Trent Victor; Natasha Merat (Hum. Factors, 2017)

The "Out-of-the-Loop" concept in automated driving: proposed definition, measures and implications. - Natasha Merat; Bobbie Seppelt; Tyron Louw; Johan Engström; John D. Lee; Emma Johansson; Charles A. Green; Satoshi Katazaki; Chris Monk; Makoto Itoh; Daniel V. McGehee; Takashi Sunda; et al. (Cogn. Technol. Work., 2019)

Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures. - Anthony D. McDonald; Hananeh Alambeigi; Johan Engström; Gustav Markkula; Tobias Vogelpohl; Jarrett Dunne; Norbert Yuma (Hum. Factors, 2019)

How Do Drivers Respond to Silent Automation Failures? Driving Simulator Study and Comparison of Computational Driver Braking Models. - Giulio Francesco Bianchi Piccinini; Esko Lehtonen; Fabio Forcolin; Johan Engström; Deike Albers; Gustav Markkula; Johan Lodin; Jesper Sandin (Hum. Factors, 2020)

World Model Learning from Demonstrations with Active Inference: Application to Driving Behavior. - Ran Wei; Alfredo García 001; Anthony D. McDonald; Gustav Markkula; Johan Engström; Isaac Supeene; Matthew O'Kelly (IWAI, 2022)

Modeling road user response timing in naturalistic settings: a surprise-based framework. - Johan Engström; Shu-Yuan Liu; Azadeh DinparastDjadid; Camelia Simoiu (CoRR, 2022)

An active inference model of car following: Advantages and applications. - Ran Wei; Anthony D. McDonald; Alfredo García 001; Gustav Markkula; Johan Engström; Matthew O'Kelly (CoRR, 2023)

Measuring Surprise in the Wild. - Azadeh DinparastDjadid; Isaac Supeene; Johan Engström (CoRR, 2023)

Building a Credible Case for Safety: Waymo's Approach for the Determination of Absence of Unreasonable Risk. - Francesca Favaro; Laura Fraade-Blanar; Scott Schnelle; Trent Victor; Mauricio Peña; Johan Engström; JoJohn M. Scanlon; Kristofer D. Kusano; Dan Smith (CoRR, 2023)

Kinematic Characterization of Micro-Mobility Vehicles During Evasive Maneuvers. - Paolo Terranova; Shu-Yuan Liu; Sparsh Jain; Johan Engström; Miguel Perez (CoRR, 2023)

Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference. - Johan Engström; Ran Wei; Anthony D. McDonald; Alfredo García 001; Matthew O'Kelly; Leif Johnson (Frontiers Neurorobotics, 2024)

Being good (at driving): Characterizing behavioral expectations on automated and human driven vehicles. - Laura Fraade-Blanar; Francesca M. Favarò; Johan Engström; Melissa Cefkin; Ryan Best; John D. Lee; Trent Victor (CoRR, 2025)

Looking for an out: Affordances, uncertainty and collision avoidance behavior of human drivers. - Leif Johnson; Johan Engström; Aravinda Ramakrishnan Srinivasan; Ibrahim Özturk; Gustav Markkula (CoRR, 2025)

Active inference as a unified model of collision avoidance behavior in human drivers. - Julian F. Schumann; Johan Engström; Leif Johnson; Matthew O'Kelly; Joao Messias; Jens Kober; Arkady Zgonnikov (CoRR, 2025)

Automated Brake Onset Detection in Naturalistic Driving Data. - Shu-Yuan Liu; Johan Engström; Gustav Markkula (CoRR, 2025)

Learning an Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following. - Ran Wei; Alfredo García 001; Anthony D. McDonald; Gustav Markkula; Johan Engström; Matthew O'Kelly (IEEE Trans. Intell. Transp. Syst., 2025)