Presentations

Here you can find the presentations of the authors that has given consent to publish their presentation from the conference.

The page will be updated continuously.

Carol Flannagan

Nadja Schömig

Alwyn Hoffman

Adriano Palao

Dan Boguslavsky

Derek Albert

Thomas Streubel

Gaëtan Perrotte

Che-tsung Lin

Mingming Zhao

Emma Tivesten

Vasiliki Kondyli

Tuomo Kujala

Pierluigi Olleja

Jonas Bärgman

Christer Ahlström

Daniel Trommler

Johanna Wörle

Stephanie Dabic Degrand

Markus Tomzig

Nadja Schömig

Arun Muthumani

Yi-ching Lee

Burcu Arslan

Jeremy Wolter

The University of Michigan Transportation Research Institute will be handling secretariat duties for the DDI2024 Conference.

Phone: +1 734-936-2070

Presentations

KeyNote

Is Statistics giving you fits? How to think about data and statistical methods for driver behavior and safety in a changing transportation world

1.1 Driver Monitoring I

Investigating different driver-in-the-loop strategies on driver’s eye glances and intervention behavior in partial automated driving

Automated real-time detection of truck driver non-compliance

Euro NCAP presents a 2-stage method to assess Driver State Monitoring systems as part of its 5-star consumer test programme

1.2 The Disconnected Driver

Effect of engagement with a Trivia game on driver’s sleepiness and behavioural adaptation in a partially automated vehicle

Brief Online Mindfulness Training in Young Drivers: A Pilot Randomised Controlled Trial

How does trust in vehicle automation effect the hand-over process? A Wizard-of-Oz study on public roads

2.1 Driver Monitoring II

Body posture and physiological indicators for drowsiness detection in a partial automated driving

Data Augmentation via Neural-Style-Transfer for Driver Distraction Recognition

AutoConduct: a novel dataset for in-vehicle driver posture monitoring

2.2 Understanding and Assessing Visual Attention

The influence of alcohol and automation on drivers’ visual behavior during test track driving

Analysing Driver (In)Attentiveness: Towards a Cognitive Complexity Model Combining Visuospatial and Interactional Parameters

3.1 Safety and performance assessment

Key requirements and a method for measuring in-vehicle user interfaces’ distraction potential

Quantification of driver’s side-glance frequency and duration in straight highway driving

Validation of an eyes-off-road crash causation model for virtual safety assessment

Strategical use of peripheral vision in driving

Evidence accumulation modeling for the Detection Response Task when combined with the Box Task

3.2 Drowsiness and Fatigue

What leads drivers to illicitly nap during conditionally automated driving?

Assessment of the effectiveness of several countermeasures in reducing driver fatigue and associated risks for safety during autonomous driving

Who benefits from napping in automated driving? – Effects of chronotype on subjective sleep inertia

Heart rate variability as an indicator for driver fatigue, different effects of time of day and time-on-task

4.1 HMI Design and Countermeasures

“I’m Sad When You’re Distracted” – Effectiveness and User Experience of an Innovative Driver Monitoring System for Partially Automated Driving

Attentional demands of using an application for real-time traffic information feedback in road operators’ vehicles

Human-machine interface designs assisting drivers of automated vehicles during transitions: evaluation from an end-user perspective

4.2 Distraction from smart phones and other technology

Psychosocial Needs and Factors Contribute to Problematic Phone Use while Driving

A Systematic Review of the Effect of Texting while Driving on Driver Performance

Managing the driver distraction risk posed by technology: Changes to Australian road laws aimed at driver behaviour

CONFERENCE SECRETARIAT