TOPICS

We invite submissions for research papers that explore the intersection of explainable AI (XAI), user-centered human-robot and human-agent interaction (HRI/HAI), cognitive science, social or behavioral psychology, and user interface design.
As intelligent agents and autonomous systems become increasingly embedded in our daily lives, understanding and improving how they interact with humans is more important than ever. Therefore, we also highly welcome domain-specific applications and design, e.g., in health, education, ageing, including focus on inclusive design.

We especially encourage interdisciplinary research that bridges two or more domains, such as cognitive psychology with system design, or XAI with studies of mental workload or social cues. Studies may include theoretical, empirical, or design-based approaches, and we welcome diverse methodologies and perspectives.

We welcome contributions in areas including, but not limited to:

FOCUS ON TECHNOLOGIES AND RECENT ADVANCEMENTS IN EXPLAINABLE AI AND COLLABORATIVE TASKS

Novel Explainable AI/Explainable Reinforcement Learning (XAI/XRL) algorithms, optimizations, or visualizations
Novel XAI metrics enhancing interpretability (e.g., transparency, fairness)
XAI/XRL in human-robot or human-agent interaction (HRI/HAI) or within immersive technologies (e.g. Virtual Reality)
Evaluation of explanation styles incl. methods to avoid introducing bias and stereotypes in explanations
Decision-making, intention recognition, or shared perception in HRI/HAI or in hybrid teams
Emotion recognition and non-verbal cue recognition (e.g., gestures, postures, gaze) in collaborative tasks

USER-CENTERED DESIGN, SOCIAL TEAMING, HUMAN FACTORS, AND DECISION-MAKING IN HYBRID TEAMS

Human-robot/agent collaboration in team settings with XAI/XRL
Collaboration under uncertainty or ambiguity in HRI/HAI or in hybrid teams
Behavioral psychology in robot/agent decision-making and interaction
Persuasive robotics and behavior change in socio-technical systems
Learning from demonstration with cognitive and social grounding
Human-robot or human-agent collaboration (incl. XAI) in safety-critical domains like autonomous driving, aviation or in maritime context
Usability Studies in AI-driven systems
User-centered and participatory design for explainable or social AI
Cognitive load and user profiling in HRI/HAI interface design with Explainable AI
Social signal processing and trust-building in HRI/HAI
Social, affective, or behavioral dimensions of interactions in autonomous systems

WELL-BEING&Health, USER UNDERSTANDING AND ETHICAL IMPLICATIONS

Human-robot or human-agent collaboration (incl. XAI) in health and for well-being
Mental models and user understanding of autonomous systems
Inclusive XAI design for, e.g., neuro-diverse people
Theory of mind in robots and agents: modeling and user perception
Ethical and psychological implications of robot or agent transparency

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