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Design collaboration in complex engineering, urban planning, and product development increasingly involves heterogeneous disciplinary teams working with AI-generated multimedia artifacts —images, physiological biosignals, semantic vectors — as shared mediating objects. Yet existing multimedia systemsresearch treats these modalities separately: generative AI for creative ideation, physiological sensing for affective computing, and semantic processing for coordination tracking are each active subfields withnointegrating framework.

Topics of Interest

The session invites original research contributions on the following topics:

Generative AI and Visual Mediation in Collaboration

• Text-to-image generation as alignment instruments in multi-stakeholder design
• Image specificity, ambiguity, and their effects on semantic convergence trajectories
• AI-generated images as boundary objects in participatory and cross-disciplinary design
• Trajectory-level analysis of visual mediation effects across iterative cycles

Multimodal Affective Sensing for Collaborative Systems

• Wearable physiological sensing (HRV, EDA, ECG) for real-time affective state monitoring inteamsettings
• Fusion of semantic and physiological signals for coordination assessment
• Temporal relationships between affective and cognitive coordination dynamics
• Affective feedback display design for collaborative environments

Computational Frameworks for Coordination Assessment

• Semantic embedding methods (BERT, SBERT, CLIP) for measuring cross-disciplinary alignment
• oordination metrics and indices for iterative design collaboration
• Trajectory classification: monotonic convergence, delayed convergence, stable non-convergence
• Decision support systems for early-stage engineering design under semantic heterogeneity

Human-AI Co-Ideation and Collaborative Creativity

• Human-AI co-creation systems for design ideation and concept exploration
• Tracking the evolution of design ideas across iterative human-AI cycles
• Effects of generative AI on design fixation and divergent thinking
• Interaction design principles for AI-assisted cross-disciplinary teams