Call for Paper 

We invite researchers and practitioners to prepare a workshop submission on topics along the dimensions 'Application', 'Human Factors&Design', and 'Ethics',  which include, but are not limited to:

Applications:

1. • Robotic painting, drawing, sculpture, craft, or material fabrication guided by (generative) AI

   • Real-time human–robot interaction in performance,  choreography, installations, or immersive environments

   • AI-driven virtual performers interacting with humans or physical robots

   • How robots can learn tacit skills (e.g., through demonstration) 

   • Skill transfer: can robots teach humans craft techniques (and vice versa)? 

   • Collaborative creation in VR/AR/XR environments with robots or AI agents

   • Robotic expressiveness, gesture generation, motion style, and affective communication

   • Multisensory feedback (haptics, sound, visuals) for co-creative engagement 

   • Adaptive and learning robotic systems in creative workflows

   • Metrics vs. narratives: how to “measure” artistic collaboration 

   • Explainable AI methods for co-creative systems & transparency, and interpretability in AI–robotic collaboration

Human Factors and Design:

• Cognitive workload and attention in collaborative creative tasks

• Trust in robotic systems using generative AI and/or Explainable AI

• Designing for calibrated trust in creative robots 

• Failure, unpredictability, and trust repair in creative workflows 

• Creativity and flow in co-creation or participatory design processes with robots or AI agents

• Designing robot behaviors that feel expressive or intentional 

• Designing long-term relationships with creative robots 

• Designing interfaces for co-decision-making in art creation 

• Learnability of robot-assisted craft systems 

• Emotional attachment and anthropomorphism in creative robots 

• Negotiating control in real time: turn-taking, interruption, override 

• Preserving personal style, tacit knowledge, and creative agency

Ethics and Society Impact:

• Societal and cultural impacts of AI–robot participation in creative production

• Authenticity in robot-assisted art/craftmanship

• Negotiating human and machine authorship or Intellectual Property (IP) in co-created work

• Fairness, equity, and inclusion in creative AI–robotic systems

• Data rights, bias mitigation, and policy for responsible AI