Explainable Embodied Agents Through Social Cues

Author:

Wallkötter Sebastian1,Tulli Silvia2,Castellano Ginevra3,Paiva Ana4,Chetouani Mohamed5

Affiliation:

1. Uppsala University and INESC-ID-Instituto Superior Técnico, Uppsala, Sweden

2. Uppsala University and INESC-ID-Instituto Superior Técnico, Lisbon, Portugal

3. Uppsala University, Uppsala, Sweden

4. INESC-ID and Instituto Superior Técnico

5. Institute for Intelligent Systems and Robotics, CNRS UMR 7222, Sorbonne Université, Paris, France

Abstract

The issue of how to make embodied agents explainable has experienced a surge of interest over the past 3 years, and there are many terms that refer to this concept, such as transparency and legibility. One reason for this high variance in terminology is the unique array of social cues that embodied agents can access in contrast to that accessed by non-embodied agents. Another reason is that different authors use these terms in different ways. Hence, we review the existing literature on explainability and organize it by (1) providing an overview of existing definitions, (2) showing how explainability is implemented and how it exploits different social cues, and (3) showing how the impact of explainability is measured. Additionally, we present a list of open questions and challenges that highlight areas that require further investigation by the community. This provides the interested reader with an overview of the current state of the art.

Funder

European Union's Horizon 2020 research and innovation programme

Fundação para a Ciência e a Tecnologia

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Human-Computer Interaction

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2. A Taxonomy of Explanation Types and Need Indicators in Human–Agent Collaborations;International Journal of Social Robotics;2024-06-05

3. Explainability of Brain Tumor Classification Based on Region;2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS);2024-04-22

4. What a Thing to Say! Which Linguistic Politeness Strategies Should Robots Use in Noncompliance Interactions?;Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

5. Explainability for Human-Robot Collaboration;Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

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