Unveiling the Learning Curve: Enhancing Transparency in Robot’s Learning with Inner Speech and Emotions

Author:

Angelopoulos Georgios1,Martino Carmine Di2,Rossi Alessandra1,Rossi Silvia1

Affiliation:

1. University of Naples Federico II,Interdepartmental Center for Advances in Robotic Surgery – ICAROS,Naples,Italy

2. University of Naples Federico II,Department of Electrical Engineering and Information Technologies - DIETI,Naples,Italy

Funder

CHIST-ERA

Publisher

IEEE

Reference23 articles.

1. Investigating Transparency Methods in a Robot Word-Learning System and Their Effects on Human Teaching Behaviors

2. The novelty effect in large display deployments–experiences and lessons-learned for evaluating prototypes;koch;Proceedings of 16th European Conference on Computer-Supported Cooperative Work-Exploratory Papers European Society for Socially Embedded Technologies (EUSSET),2018

3. How Emotion Shapes Behavior: Feedback, Anticipation, and Reflection, Rather Than Direct Causation

4. Towards Transparent Robot Learning Through TDRL-Based Emotional Expressions

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On the Way to a Transparent HRI;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27

2. Using Theory of Mind in Explanations for Fostering Transparency in Human-Robot Interaction;Social Robotics;2023-12-03

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