The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint)

Delcourt, Kevin; Trouilhet, Sylvie; Arcangeli, Jean-Paul; Adreit, Françoise

doi:10.24963/ijcai.2025/1224

The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint)

Kevin Delcourt, Sylvie Trouilhet, Jean-Paul Arcangeli, Françoise Adreit

Download BibTeX Cite

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Journal Track. Pages 10950-10950.

https://doi.org/10.24963/ijcai.2025/1224

Keywords

IJCAI: Journal Track

Abstract

As the vision of Ambient Intelligence (AmI) becomes more feasible, the challenge of designing effective and usable human-machine interaction in this context becomes increasingly important. Interactive Machine Learning (IML) offers a set of techniques and tools to involve end-users in the machine learning process, making it possible to build more trustworthy and adaptable ambient systems. In this paper, our focus is on exploring approaches to effectively integrate and assist human users within ML-based AmI systems. Through a survey of key IML-related contributions, we identify principles for designing effective human-AI interaction in AmI applications. We apply them to the case of Opportunistic Composition, which is an approach to achieve AmI, to enhance collaboration between humans and Artificial Intelligence. Our study highlights the need for user-centered and context-aware design, and provides insights into the challenges and opportunities of integrating IML techniques into AmI systems.

Kevin Delcourt, Sylvie Trouilhet, Jean-Paul Arcangeli, and Françoise Adreit. 2025. The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint). In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25. IJCAI, 10950–10950. https://doi.org/10.24963/ijcai.2025/1224

@inproceedings{ijcai2025p1224,
  title     = {The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint)},
  author    = {Delcourt, Kevin and Trouilhet, Sylvie and Arcangeli, Jean-Paul and Adreit, Françoise},
  booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-25}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {James Kwok},
  pages     = {10950--10950},
  year      = {2025},
  month     = {8},
  note      = {Journal Track},
  doi       = {10.24963/ijcai.2025/1224},
  url       = {https://doi.org/10.24963/ijcai.2025/1224},
}

TY  - CPAPER
TI  - The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint)
AU  - Delcourt, Kevin
AU  - Trouilhet, Sylvie
AU  - Arcangeli, Jean-Paul
AU  - Adreit, Françoise
T2  - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2025
SP  - 10950
EP  - 10950
DO  - 10.24963/ijcai.2025/1224
UR  - https://doi.org/10.24963/ijcai.2025/1224
ER  -