Explainable Agents Through Social Cues: A Review
Sebastian Wallkotter, Silvia Tulli, Ginevra Castellano, Ana Paiva,, Mohamed Chetouani

TL;DR
This review paper surveys recent research on making embodied agents explainable using social cues, discussing definitions, implementations, impact measurement, and future challenges in the field.
Contribution
It organizes existing literature on explainability in embodied agents, highlighting how social cues are utilized and identifying open questions for future research.
Findings
Overview of existing definitions of explainability
Analysis of social cues used in explanations
Discussion of how explainability impact is measured
Abstract
The issue of how to make embodied agents explainable has experienced a surge of interest over the last three years, and, there are many terms that refer to this concept, e.g., transparency or 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…
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Taxonomy
TopicsExplainable Artificial Intelligence (XAI) · Reinforcement Learning in Robotics · Ethics and Social Impacts of AI
