PortfolioMentor: Multimodal Generative AI Companion for Learning and Crafting Interactive Digital Art Portfolios
Tao Long, Weirui Peng

TL;DR
PortfolioMentor is an AI-powered chatbot designed to assist non-technical art students in creating interactive digital portfolios by providing guidance, suggestions, and collaboration throughout the creative process.
Contribution
It introduces a multimodal generative AI companion integrated into IDEs to support artists in designing and synthesizing digital portfolios without requiring technical expertise.
Findings
Enhanced student engagement in portfolio creation
Improved quality and coherence of digital art portfolios
Effective AI collaboration in creative workflows
Abstract
Digital art portfolios serve as impactful mediums for artists to convey their visions, weaving together visuals, audio, interactions, and narratives. However, without technical backgrounds, design students often find it challenging to translate creative ideas into tangible codes and designs, given the lack of tailored resources for the non-technical, academic support in art schools, and a comprehensive guiding tool throughout the mentally demanding process. Recognizing the role of companionship in code learning and leveraging generative AI models' capabilities in supporting creative tasks, we present PortfolioMentor, a coding companion chatbot for IDEs. This tool guides and collaborates with students through proactive suggestions and responsible Q&As for learning, inspiration, and support. In detail, the system starts with the understanding of the task and artist's visions, follows the…
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Taxonomy
TopicsEducational Games and Gamification · Multimodal Machine Learning Applications · Augmented Reality Applications
