Towards a Ready-to-Use Drivers' Vigilance Monitoring System. - Rodolfo Ibarra-Orozco; Miguel González-Mendoza 001; Neil Hernández-Gress; Frederik Diederichs; Juha Kortelainen (CIMCA/IAWTIC/ISE, 2008)

New HMI Concept for Motorcycles-The Saferider Approach. - J. P. Frederik Diederichs; Marco Fontana; Giacomo Bencini; Stella Nikolaou; Roberto Montanari 003; Andrea Spadoni; Harald Widlroither; Niccolò Baldanzini (HCI (17), 2009)

Nutzergerechte Umsteigepunkte für eine multimodale Mobilität. - J. P. Frederik Diederichs; Melanie Ganzhorn; Vivien Melcher (MuC (Workshopband), 2012)

Driver Intention Algorithm for Pedestrian Protection and Automated Emergency Braking Systems. - Frederik Diederichs; Tobias Schüttke; Dieter Spath (ITSC, 2015)

Application design for an eye tracking analysis based on visual analytics. - Michael Raschke; Bernhard Schmitz 002; Michael Wörner 001; Thomas Ertl; Frederik Diederichs (ETRA, 2016)

Workshop on Human Machine Interaction in Autonomous Vehicles: the Perspective of the Two Current HORIZON 2020 Projects ADAS&ME and AUTOMATE. - Fabio Tango; Roberto Montanari 003; Andreas Lüdtke; Martin Baumann 001; J. P. Frederik Diederichs; Anna Anund; Andrea Castellano; Stefania Vacca (AutomotiveUI (adjunct), 2017)

Combined Driver Distraction and Intention Algorithm for Maneuver Prediction and Collision Avoidance. - Katharina Gillmeier; Tobias Schuettke; Frederik Diederichs; Gloriya Miteva; Dieter Spath (ICVES, 2018)

Prediction of ego vehicle trajectories based on driver intention and environmental context. - Katharina Gillmeier; Frederik Diederichs; Dieter Spath (IV, 2019)

Action prediction with the Jordan model of human intention: a contribution to cooperative control. - Friederike Schneemann; Frederik Diederichs (Cogn. Technol. Work., 2019)

How Visual Cues on Steering Wheel Improve Users' Trust, Experience, and Acceptance in Automated Vehicles. - Arun Muthumani; Frederik Diederichs; Melanie Galle; Sebastian Schmid-Lorch; Christian Forsberg; Harald Widlroither; Alexander Feierle; Klaus Bengler (AHFE (12), 2020)

Guerilla Evaluation of Truck HMI with VR. - Frederik Diederichs; Friedrich Niehaus; Lena Hees (HCI (10), 2020)

Investigating the Modulation of Spatio-Temporal and Oscillatory Power Dynamics by Perceptible and Non-perceptible Rhythmic Light Stimulation. - Katharina Lingelbach; Isabel Schöllhorn; Alexander M. Dreyer; Frederik Diederichs; Michael Bui; Michael Weng; Jochem W. Rieger; Ina Petermann-Stock; Mathias Vukelic (AHFE (1), 2021)

Exploring Conventional, Automated and Deep Machine Learning for Electrodermal Activity-Based Drivers' Stress Recognition. - Katharina Lingelbach; Michael Bui; Frederik Diederichs; Mathias Vukelic (SMC, 2021)

Artificial Intelligence for Adaptive, Responsive, and Level-Compliant Interaction in the Vehicle of the Future (KARLI). - Frederik Diederichs; Christoph Wannemacher; Fabian Faller; Martin Mikolajewski; Manuel Martin; Michael Voit; Harald Widlroither; Eike Schmidt; Doreen Engelhardt; Lena Rittger; Vahid Hashemi; Manya Sahakyan; et al. (HCI (40), 2022)

Technologies for Risk Mitigation and Support of Impaired Drivers. - Christer Ahlström; Frederik Diederichs; Daniel Teichmann (IEEE Trans. Intell. Transp. Syst., 2022)

Improving Driver Performance and Experience in Assisted and Automated Driving With Visual Cues in the Steering Wheel. - Frederik Diederichs; Arun Muthumani; Alexander Feierle; Melanie Galle; Lesley-Ann Mathis; Valeria Bopp-Bertenbreiter; Harald Widlroither; Klaus Bengler (IEEE Trans. Intell. Transp. Syst., 2022)

Are Drivers Allowed to Sleep? Sleep Inertia Effects Drivers' Performance after Different Sleep Durations in Automated Driving. - Doreen Schwarze; Frederik Diederichs; Lukas Weiser; Harald Widlroither; Rolf Verhoeven; Matthias Rötting (Multimodal Technol. Interact., 2023)

Generating Proactive Suggestions based on the Context: User Evaluation of Large Language Model Outputs for In-Vehicle Voice Assistants. - Lesley-Ann Mathis; Can Günes; Kathleen Entz; David J. Lerch; Frederik Diederichs; Harald Widlroither (CUI, 2024)

HybridFormer: Bridging Local and Global Spatio-Temporal Dynamics for Efficient Skeleton-Based Action Recognition. - Zeyun Zhong; Tianrui Li 008; Manuel Martin; Mickael Cormier; Chengzhi Wu; Frederik Diederichs; Juergen Beyerer (ECCV Workshops (13), 2024)

Activities that Correlate with Motion Sickness in Driving Cars - An International Online Survey. - Frederik Diederichs; Amina Hermanns; David J. Lerch; Zeyun Zhong; Daniela Piechnik; Lesley-Ann Mathis; Boyu Xian; Nicklas Vaupel; Ajona Vijayakumar; Canmert Cabaroglu; Jessica Rausch (HCI (49), 2024)

How to Indicate AI at Work on Vehicle Dashboards: Analysis and Empirical Study. - Peter Rössger; Cristián Acevedo; Miriam Bottesch; Samuel Nau; Tobias Stricker; Frederik Diederichs (HCI (53), 2024)

3D Skeleton-Based Driver Activity Recognition Using Self-Supervised Learning. - David J. Lerch; Yasser El Bachiri; Manuel Martin; Frederik Diederichs; Rainer Stiefelhagen (ITSC, 2024)

QueryMamba: A Mamba-Based Encoder-Decoder Architecture with a Statistical Verb-Noun Interaction Module for Video Action Forecasting @ Ego4D Long-Term Action Anticipation Challenge 2024. - Zeyun Zhong; Manuel Martin; Frederik Diederichs; Juergen Beyerer (CoRR, 2024)

From Sleep Mode to Drive Mode: Take-Over after Sleep Takes Minutes not Seconds. - Frederik Diederichs; Amina Hermanns; David J. Lerch; Jutta Hild (HCI (63), 2025)

Generated User Interfaces for Human-AI Interaction in Cars: Evaluation of AI-Generated Motion Sickness Notifications in Automated Cars. - David J. Lerch; Kathleen Entz; Johannes Merschroth; Frederik Diederichs (HCI (53), 2025)