Human-vehicle interaction to support driver's situation awareness in automated vehicles: A systematic review

M Capallera, L Angelini, Q Meteier… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Autonomous driving will change the role of the driver. From being the main actor in driving,
the driver will now have a supervisory role during the autonomous driving phases. However …

Human-Centered Explainable AI (HCXAI): beyond opening the black-box of AI

U Ehsan, P Wintersberger, QV Liao… - CHI conference on …, 2022 - dl.acm.org
Explainability of AI systems is crucial to hold them accountable because they are
increasingly becoming consequential in our lives by powering high-stakes decisions in …

Measuring and understanding trust calibrations for automated systems: a survey of the state-of-the-art and future directions

M Wischnewski, N Krämer, E Müller - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
Trust has been recognized as a central variable to explain the resistance to using automated
systems (under-trust) and the overreliance on automated systems (over-trust). To achieve …

Effects of scene detection, scene prediction, and maneuver planning visualizations on trust, situation awareness, and cognitive load in highly automated vehicles

M Colley, M Rädler, J Glimmann, E Rukzio - Proceedings of the ACM on …, 2022 - dl.acm.org
The successful introduction of automated vehicles (AVs) depends on the user's acceptance.
To gain acceptance, the intended user must trust the technology, which itself relies on an …

Investigating explanations in conditional and highly automated driving: The effects of situation awareness and modality

L Avetisyan, J Ayoub, F Zhou - … research part F: traffic psychology and …, 2022 - Elsevier
With the level of automation increases in vehicles, such as conditional and highly automated
vehicles (AVs), drivers are becoming increasingly out of the control loop, especially in …

Explainable automation: Personalized and adaptive UIs to foster trust and understanding of driving automation systems

P Wintersberger, H Nicklas, T Martlbauer… - … on Automotive User …, 2020 - dl.acm.org
Recent research indicates that transparent information on the behavior of automated
vehicles positively affects trust, but how such feedback should be composed and if user trust …

Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire

S Nordhoff, J Stapel, X He, A Gentner, R Happee - Plos one, 2021 - journals.plos.org
The present online study surveyed drivers of SAE Level 2 partially automated cars on
automation use and attitudes towards automation. Respondents reported high levels of trust …

Effects of uncertain trajectory prediction visualization in highly automated vehicles on trust, situation awareness, and cognitive load

M Colley, O Speidel, J Strohbeck, JO Rixen… - Proceedings of the …, 2024 - dl.acm.org
Automated vehicles are expected to improve safety, mobility, and inclusion. User
acceptance is required for the successful introduction of this technology. One essential …

How do drivers perceive risks during automated driving scenarios? An fNIRS neuroimaging study

J Perello-March, CG Burns, R Woodman… - Human …, 2023 - journals.sagepub.com
Objective Using brain haemodynamic responses to measure perceived risk from traffic
complexity during automated driving. Background Although well-established during manual …

Investigating the effects of feedback communication of autonomous vehicles

M Colley, JH Belz, E Rukzio - 13th International Conference on …, 2021 - dl.acm.org
Autonomous vehicles (AVs) are expected to communicate to vulnerable road users as a
substitution of, for example, driver-pedestrian communication, leading to increased safety …