Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions

S Atakishiyev, M Salameh, H Yao, R Goebel - arXiv preprint arXiv …, 2021 - arxiv.org
Autonomous driving has achieved significant milestones in research and development over
the last decade. There is increasing interest in the field as the deployment of self-operating …

The placebo effect of artificial intelligence in human–computer interaction

T Kosch, R Welsch, L Chuang, A Schmidt - ACM Transactions on …, 2023 - dl.acm.org
In medicine, patients can obtain real benefits from a sham treatment. These benefits are
known as the placebo effect. We report two experiments (Experiment I: N= 369; Experiment …

How can we develop explainable systems? insights from a literature review and an interview study

L Chazette, J Klünder, M Balci… - Proceedings of the …, 2022 - dl.acm.org
Quality aspects such as ethics, fairness, and transparency have been proven to be essential
for trustworthy software systems. Explainability has been identified not only as a means to …

How should automated vehicles communicate critical situations? a comparative analysis of visualization concepts

M Colley, S Krauss, M Lanzer, E Rukzio - Proceedings of the ACM on …, 2021 - dl.acm.org
Passengers of automated vehicles will likely engage in non-driving related activities like
reading and, therefore, be disengaged from the driving task. However, especially in critical …

Explainable Artificial Intelligence (XAI): connecting artificial decision-making and human trust in autonomous vehicles

AVS Madhav, AK Tyagi - Proceedings of Third International Conference on …, 2022 - Springer
Automated navigation technology has established itself as an integral facet of intelligent
transportation and smart city systems. Several international technological organizations …

On the forces of driver distraction: Explainable predictions for the visual demand of in-vehicle touchscreen interactions

P Ebel, C Lingenfelder, A Vogelsang - Accident Analysis & Prevention, 2023 - Elsevier
With modern infotainment systems, drivers are increasingly tempted to engage in secondary
tasks while driving. Since distracted driving is already one of the main causes of fatal …

Watch out for updates: Understanding the effects of model explanation updates in ai-assisted decision making

X Wang, M Yin - Proceedings of the 2023 CHI Conference on Human …, 2023 - dl.acm.org
AI explanations have been increasingly used to help people better utilize AI
recommendations in AI-assisted decision making. While AI explanations may change over …

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 …

What and When to Explain? On-road Evaluation of Explanations in Highly Automated Vehicles

G Kim, D Yeo, T Jo, D Rus, SJ Kim - … of the ACM on Interactive, Mobile …, 2023 - dl.acm.org
Explanations in automated vehicles help passengers understand the vehicle's state and
capabilities, leading to increased trust in the technology. Specifically, for passengers of SAE …

A human-centric method for generating causal explanations in natural language for autonomous vehicle motion planning

B Gyevnar, M Tamborski, C Wang, CG Lucas… - arXiv preprint arXiv …, 2022 - arxiv.org
Inscrutable AI systems are difficult to trust, especially if they operate in safety-critical settings
like autonomous driving. Therefore, there is a need to build transparent and queryable …