@article{4092,
  author = {Patrick Ebel},
  title = {How Dynamic are the User Interfaces in Advanced  Artificial Intelligence? },
  journal = {Journal of Information & Systems Management},
  year = {2024},
  volume = {14},
  number = {3},
  doi = {https://doi.org/10.6025/jism/2024/14/3/112-120},
  url = {https://www.dline.info/jism/fulltext/v14n3/jismv14n3_3.pdf},
  abstract = {As the automotive industry progresses towards greater degrees of autonomous driving, reaching Level 3 automated driving is a pivotal moment. Cars can operate independently within certain limits at this level, but the driver must be prepared to resume control when necessary. Helping the driver stay aware of their surroundings in these situations is crucial. This paper examines how Attentive User Interfaces (AUIs) equipped with advanced Artificial Intelligence (AI) can meet this challenge. Instead of using clear, direct alerts, we suggest that AUIs developed with innovative AI methods like large language models or diffusion models can subtly enhance situational awareness (SA) without negatively increasing the driver’s workload. Therefore, we outline five approaches for generative AI to enhance takeover performance and improve road safety in the long run.},
}