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

TL;DR

This paper discusses the importance of pluriperspectivism in human-robot co-creativity, proposing a layered model to guide design and analysis, and exploring future integration with vision-language models to enhance robot adaptability.

Contribution

It introduces a layered five-dimensional model for human-robot co-creativity based on pluriperspectivism, supported by empirical insights from artists and educators.

Findings

Pluriperspectivism supports creative practice in human-robot interaction.

Robots can enhance creativity through adaptive, context-sensitive behaviors.

Future integration with vision-language models can improve cocreative robot capabilities.

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