Human-Machine Co-Creativity with Older Adults -- A Learning Community to Study Explainable Dialogues
Project Overview
The document outlines a research initiative that investigates the integration of generative AI and social robots in educational settings, particularly targeting older adults to enhance their creative experiences. Central to this project is the development of a course titled 'Drawing with Robots', which encourages collaboration among older adults, artists, students, researchers, and AI technologies. This initiative underscores the significance of explainable AI (XAI) and user-centered design principles, aiming to foster a better understanding and trust in technology among older users. By focusing on these aspects, the project seeks to boost creative engagement and collaborative creativity, demonstrating the potential of generative AI in educational contexts to facilitate more inclusive and enriching learning experiences for older adults. The findings suggest that such technological integration not only enhances creativity but also bridges generational gaps, fostering interactivity and innovation in educational practices. Ultimately, the outcomes point to generative AI's valuable role in transforming educational methodologies and enhancing the creative process for diverse age groups.
Key Applications
Drawing with Robots course
Context: A learning community for older adults aimed at collaborative drawing and creative expression with AI.
Implementation: Developing a course that incorporates both human and AI interactions to foster creativity.
Outcomes: Improved understanding of technology, increased engagement in creative tasks, and enhanced trust in AI.
Challenges: Ensuring that AI explanations are understandable to older adults and fostering a comfortable learning environment.
Implementation Barriers
User Acceptance
Older adults may have difficulty trusting or understanding AI technologies.
Proposed Solutions: Incorporating user-centered design principles and progressive familiarity with technology through iterative feedback.
Technical Complexity
The complexity of generative AI systems can make them seem like a 'black box' to users.
Proposed Solutions: Utilizing interactive visualizations and clear explanations to enhance understanding.
Project Team
Marianne Bossema
Researcher
Rob Saunders
Researcher
Somaya Ben Allouch
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Marianne Bossema, Rob Saunders, Somaya Ben Allouch
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai