| Issue |
ITM Web Conf.
Volume 69, 2024
International Conference on Mobility, Artificial Intelligence and Health (MAIH2024)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 9 | |
| Section | Mobility | |
| DOI | https://doi.org/10.1051/itmconf/20246903004 | |
| Published online | 13 December 2024 | |
Educable learning-oriented multilevel shared autonomy for inclusive mobility and healthcare
1 UPHF, LAMIH UMR CNRS 8201, Le Mont Houy 59313 Valenciennes Cedex 9, France
2 INSA Hauts-de-France, Le Mont Houy, 59313 Valenciennes Cedex 9, France
* Corresponding author: frederic.vanderhaegen@uphf.fr
This paper proposes a new paradigm based on educable learning for multilevel shared autonomy between humans and machines on future inclusive mobility or healthcare. Multilevel shared autonomy is presented from the perspective of three groups of process: a group of interactive supports, a group of roles of humans and machine in the course of shared autonomy and a group of sources or targets for inclusive mobility or healthcare. Two literature reviews present advances of the first two groups. Educable learning oriented multilevel shared autonomy is then proposed to recover limits of current approaches and to update online or offline learning or education supports. A case study illustrates the feasibility of such educable learning process.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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