How to Cite
Abstract
Considering that operating a fully autonomous vehicle typically requires the assumption that minimal human control may be exerted if at all [1], the human-computer/robot interaction guidelines discussed do not cover the special and perhaps common case that human-controlled decision making may be as important as human-attended information monitoring in the context of AI-controlled autonomous vehicles. This scenario seems particularly likely to be realized in the immediate future: Hutchinson et al. argue that, after completing a trajectory planning task, human drivers (particularly, in the United States) are likely to regain control of the vehicle in relatively short order; this task may only be automatic at this time if instantiated through a graceful handoff between human and machine control. Combining the literature discussed herein with AI-driven shared control may lead emerging industries to produce a wide variety of human-centered control interfaces immediately in the near term to address the current and near future versions of the automobile.
References
Tatineni, Sumanth. "Ethical Considerations in AI and Data Science: Bias, Fairness, and Accountability." International Journal of Information Technology and Management Information Systems (IJITMIS) 10.1 (2019): 11-21.
Shaik, Mahammad, et al. "Granular Access Control for the Perpetually Expanding Internet of Things: A Deep Dive into Implementing Role-Based Access Control (RBAC) for Enhanced Device Security and Privacy." British Journal of Multidisciplinary and Advanced Studies 2.2 (2018): 136-160.
Vemoori, V. “Towards Secure and Trustworthy Autonomous Vehicles: Leveraging Distributed Ledger Technology for Secure Communication and Exploring Explainable Artificial Intelligence for Robust Decision-Making and Comprehensive Testing”. Journal of Science & Technology, vol. 1, no. 1, Nov. 2020, pp. 130-7, https://thesciencebrigade.com/jst/article/view/224.
E. Morrow, T. Zidaru, F. Ross, C. Mason et al., "Artificial intelligence technologies and compassion in healthcare: A systematic scoping review," 2023. ncbi.nlm.nih.gov
Y. H. Weng and Y. Hirata, "Design-Centered HRI Governance for Healthcare Robots," 2022. ncbi.nlm.nih.gov
Łukasz Sobczak, K. Filus, A. Domański, and J. Domańska, "LiDAR Point Cloud Generation for SLAM Algorithm Evaluation," 2021. ncbi.nlm.nih.gov
Y. Rong, C. Han, C. Hellert, A. Loyal et al., "Artificial Intelligence Methods in In-Cabin Use Cases: A Survey," 2021. [PDF]
H. Cao, W. Zou, Y. Wang, T. Song et al., "Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey," 2022. [PDF]
V. Ravi Kumar, "Surround-View Cameras based Holistic Visual Perception for Automated Driving," 2022. [PDF]
L. Fridman, D. E. Brown, M. Glazer, W. Angell et al., "MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation," 2017. [PDF]
E. Veitch, H. Dybvik, M. Steinert, and O. Andreas Alsos, "Collaborative Work with Highly Automated Marine Navigation Systems," 2022. ncbi.nlm.nih.gov
Y. Yu, Y. Zhang, and G. Burnett, "Tell me about that church: Exploring the Design and User Experience of In-Vehicle Multi-modal Intuitive Interface in the Context of Driving Scenario," 2023. [PDF]
L. Ibrahim, L. Rocher, and A. Valdivia, "Characterizing and modeling harms from interactions with design patterns in AI interfaces," 2024. [PDF]
X. Kong, Y. Xing, A. Tsourdos, Z. Wang et al., "Explainable Interface for Human-Autonomy Teaming: A Survey," 2024. [PDF]
A. Bastola, J. Brinkley, H. Wang, and A. Razi, "Driving Towards Inclusion: Revisiting In-Vehicle Interaction in Autonomous Vehicles," 2024. [PDF]
D. Zhao, "Application of Neural Network Based on Visual Recognition in Color Perception Analysis of Intelligent Vehicle HMI Interactive Interface under User Experience," 2022. ncbi.nlm.nih.gov
L. Morra, F. Lamberti, F. Gabriele Pratticó, S. La Rosa et al., "Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design," 2020. [PDF]
K. H. Schäfer and F. Quint, "Artificial Intellgence -- Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021," 2021. [PDF]
A. Rouchitsas and H. Alm, "External Human–Machine Interfaces for Autonomous Vehicle-to-Pedestrian Communication: A Review of Empirical Work," 2019. ncbi.nlm.nih.gov
A. Narayanan, "When is it right and good for an intelligent autonomous vehicle to take over control (and hand it back)?," 2019. [PDF]
S. W. Loke, "Achieving Ethical Algorithmic Behaviour in the Internet-of-Things: a Review," 2019. [PDF]
F. Santoni de Sio, G. Mecacci, S. Calvert, D. Heikoop et al., "Realising Meaningful Human Control Over Automated Driving Systems: A Multidisciplinary Approach," 2022. ncbi.nlm.nih.gov
L. Mora, X. Wu, and A. Panori, "Mind the gap: Developments in autonomous driving research and the sustainability challenge," 2020. ncbi.nlm.nih.gov
M. Roszel, R. Norvill, J. Hilger, and R. State, "Know Your Model (KYM): Increasing Trust in AI and Machine Learning," 2021. [PDF]
D. Fernández Llorca, R. Hamon, H. Junklewitz, K. Grosse et al., "Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness," 2024. [PDF]
H. Dong, T. Thi Minh Tran, P. Bazilinskyy, M. Hoggenmüller et al., "Holistic HMI Design for Automated Vehicles: Bridging In-Vehicle and External Communication," 2024. [PDF]
J. Felipe González-Saavedra, M. Figueroa, S. Céspedes, and S. Montejo-Sánchez, "Survey of Cooperative Advanced Driver Assistance Systems: From a Holistic and Systemic Vision," 2022. ncbi.nlm.nih.gov
G. Jonelid and K. R. Larsson, "Finding differences in perspectives between designers and engineers to develop trustworthy AI for autonomous cars," 2023. [PDF]
D. Zhu, Q. Bu, Z. Zhu, Y. Zhang et al., "Advancing autonomy through lifelong learning: a survey of autonomous intelligent systems," 2024. ncbi.nlm.nih.gov
A. Ataya, W. Kim, A. Elsharkawy, and S. J. Kim, "How to Interact with a Fully Autonomous Vehicle: Naturalistic Ways for Drivers to Intervene in the Vehicle System While Performing Non-Driving Related Tasks," 2021. ncbi.nlm.nih.gov
J. Giron, Y. Sela, L. Barenboim, G. Gilboa-Freedman et al., "Persona-PhysioSync AV: Personalized Interaction through Personality and Physiology Monitoring in Autonomous Vehicles," 2024. ncbi.nlm.nih.gov
N. Monsaingeon, L. Caroux, S. Langlois, and C. Lemercier, "Multimodal interface and reliability displays: Effect on attention, mode awareness, and trust in partially automated vehicles," 2023. ncbi.nlm.nih.gov
H. Muslim and M. Itoh, "Long-Term Evaluation of Drivers’ Behavioral Adaptation to an Adaptive Collision Avoidance System," 2021. ncbi.nlm.nih.gov