Interaction Acceptance Modelling and Estimation for a Proactive Engagement in the Context of Human-Robot Interactions

Timothée Dhaussy, Bassam Jabaian, Fabrice Lefèvre

ICCVW 2023 pp. 3061-3066

doi:10.1109/ICCVW60793.2023.00330 /iccvw/2023/dhaussy2023iccvw-interaction/

Abstract

Understanding human behavior in social environments provides valuable insights and information. When individuals require interaction with others, they rapidly assess the likelihood of engagement based on social signals and the displayed activity of the potential partner of interaction. We refer to this cognitive process as the Interaction Acceptance Belief (IAB). The concept of IAB finds application in various social robotic scenarios, including service tasks, proactive approaches, and reactive methods. In this paper, we present a comprehensive definition of Interaction Acceptance Belief and propose a methodology for its realistic modeling within real-world scenarios. Our approach aims to enhance the capabilities of social robots to effectively infer and adapt to human preferences, leading to efficient human-robot interactions. By conducting experimental evaluations, we establish the feasibility of developing a model that captures and represents the Interaction Acceptance Belief within a specific social context.

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Cite

Text

Dhaussy et al. "Interaction Acceptance Modelling and Estimation for a Proactive Engagement in the Context of Human-Robot Interactions." IEEE/CVF International Conference on Computer Vision Workshops, 2023. doi:10.1109/ICCVW60793.2023.00330

Markdown

[Dhaussy et al. "Interaction Acceptance Modelling and Estimation for a Proactive Engagement in the Context of Human-Robot Interactions." IEEE/CVF International Conference on Computer Vision Workshops, 2023.](https://mlanthology.org/iccvw/2023/dhaussy2023iccvw-interaction/) doi:10.1109/ICCVW60793.2023.00330

BibTeX

@inproceedings{dhaussy2023iccvw-interaction,
  title     = {{Interaction Acceptance Modelling and Estimation for a Proactive Engagement in the Context of Human-Robot Interactions}},
  author    = {Dhaussy, Timothée and Jabaian, Bassam and Lefèvre, Fabrice},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2023},
  pages     = {3061-3066},
  doi       = {10.1109/ICCVW60793.2023.00330},
  url       = {https://mlanthology.org/iccvw/2023/dhaussy2023iccvw-interaction/}
}