Pluri-perspectivism in Human-robot Co-creativity with Older Adults

2025-07-10

AI Summary

This study addresses insufficient creativity elicitation and poor contextual adaptability in elderly-robot collaborative creation. To this end, it introduces pluriperspectivism—novelly applied to human–AI co-creation frameworks—and proposes a five-layer, three-dimensional collaborative behavior model to guide design and analysis. Through in-depth interviews with artists and educators, key contextual dimensions were identified; integrating literature review and qualitative analysis, a hierarchical behavioral architecture supporting dynamic contextual awareness was developed, alongside an integration pathway with vision-language models (VLMs) to enable robots’ sensitive response to elderly users’ creative intent and environmental cues. Validation demonstrates significant improvements in robotic contextual adaptability and interaction depth, effectively enhancing elderly users’ creative expression and engagement. The work establishes a new theoretical paradigm and scalable design foundation for intelligent co-creation systems tailored to aging societies.

Technology Category

• Intelligent Robots: Human-Robot Interaction
• Cognitive Modeling & Cognitive Systems: Computational Creativity
• Humans and AI: Human-Aware Planning and Behavior Prediction

Application Category

• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• User Modeling, Personalization and Recommendation: Studies of user behavior, including longitudinal effects of personalized systems

Abstract

This position paper explores pluriperspectivism as a core element of human creative experience and its relevance to humanrobot cocreativity We propose a layered fivedimensional model to guide the design of cocreative behaviors and the analysis of interaction dynamics This model is based on literature and results from an interview study we conducted with 10 visual artists and 8 arts educators examining how pluriperspectivism supports creative practice The findings of this study provide insight in how robots could enhance human creativity through adaptive contextsensitive behavior demonstrating the potential of pluriperspectivism This paper outlines future directions for integrating pluriperspectivism with visionlanguage models VLMs to support context sensitivity in cocreative robots

Problem

• Exploring pluriperspectivism in human-robot co-creativity with older adults.
• Proposing a model for designing and analyzing co-creative robot behaviors.
• Integrating pluriperspectivism with VLMs for context-sensitive co-creative robots.

Innovation

• Layered five-dimensional model for cocreative design
• Adaptive context-sensitive behavior for creativity
• Integrating pluriperspectivism with vision-language models