Explainable Agents and Robots: Results from a Systematic Literature Review
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Summary
A Systematic Literature Review of eXplainable Artificial Intelligence (XAI), finding that almost all of the studied papers deal with robots/agents explaining their behaviors to the human users, and very few works addressed inter-robot (inter-agent) explainability.
- Type
- article
- Published
- 2019-05-08
- Cited by
- 388
- References
- 106
- Access
- Open access
- OpenAlex
- https://openalex.org/W2944850799
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:169034726
Keywords
Transparency (behavior), Computer science, Robot, Context (archaeology), Personalization
References
- A Theoretical Framework for Explaining Agent Behavior
- A Methodology for Developing Self-Explaining Agents for Virtual Training
- The Oxford handbook of philosophy of cognitive science
- On What We Know We Don't Know: Explanation, Theory, Linguistics, and How Questions Shape Them
- Robots Without Faces: Non-Verbal Social Human-Robot Interaction
- Data Protection: A Practical Guide to UK and EU Law
- Intriguing properties of neural networks
- The Intentional Stance
- Design and Evaluation of Explainable BDI Agents
- Influence of legibility on perceived safety in a virtual human-robot path crossing task
- Refining the systematic literature review process—two participant-observer case studies
- Legibility and predictability of robot motion
- From Proxemics Theory to Socially-Aware Navigation: A Survey
- The effect of explanations on perceived control and behaviors in intelligent systems
- Too much, too little, or just right? Ways explanations impact end users' mental models
- Design of an intelligible mobile context-aware application
- Exploration of intention expression for robots
- Effects of Robot Motion on Human-Robot Collaboration
- Improving intelligibility and control in Ubicomp
- Expressing thought: Improving robot readability with animation principles
Cited by
- Between the Megalopolis and the Deep Blue Sky: Challenges of Transport with UAVs in Future Smart Cities
- Explainable AI, model reconciliation and system-level analysis for safe-control of medical devices
- Towards a multi-agent model to prevent damage caused by cocoa mirids to cocoa pods
- Modelling Therapeutic Alliance using a User-aware Explainable Embodied Conversational Agent to Promote Treatment Adherence
- Towards A Robot Explanation System: A Survey and Our Approach to State Summarization, Storage and Querying, and Human Interface
- Towards Explainability for a Civilian UAV Fleet Management using an Agent-based Approach
- Towards a Theory of Explanations for Human–Robot Collaboration
- Social Network Chatbots for Smoking Cessation: Agent and Multi-Agent Frameworks
- Socio-Cognitive Engineering of a Robotic Partner for Child's Diabetes Self-Management
- Modeling Adaptive Learning Agents for Domain Knowledge Transfer
- The Good, the Bad, and the Ethical Implications of Bridging Blockchain and Multi-Agent Systems
- Great Expectations & Aborted Business Initiatives: The Paradox of Social Robot Between Research and Industry
- Towards XMAS: eXplainability through Multi-Agent Systems
- Culture-Based Explainable Human-Agent Deconfliction
- Argumentation-Based Agents that Explain Their Decisions
- From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
- Evaluating Cognitive and Affective Intelligent Agent Explanations in a Long-Term Health-Support Application for Children with Type 1 Diabetes
- Explainable robotics in science fiction
- Explaining Machine Learning-Based Classifications of In-Vivo Gastral Images
- Understanding Our People at Scale
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