2020 Galleries
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Galleries // 2020 Spark:Fall/Winter Student // Arter - an AI based Storyboarding Tool
Arter - an AI based Storyboarding Tool
Finalist
Competition: Spark:Fall/Winter Student
Designer: Siladityaa Sharma
Design Type: Concept, Digital: Motion, Apps, Games, Web, UX, UI, IXO, HCII
Company / Organization / School: ArtCenter College of Design
Website: http://siladityaa.com
Team Members: Siladityaa Sharma & Rodney Edwards
Arter - is an AI-powered storyboarding tool. The AI agent, Art, works by listening for a user's input and, through NLP (Natural Language Processing), parses each word into an image object using image association analysis. The context of this work was part of our senior interaction design class at ArtCenter College of Design, where the goal was to gain a deeper understanding of machine learning by exploring its associated technologies. And through that, let our discovery and insights drive our conceptualization. Through our research, we found that instead of relying solely on AI to act autonomously on our behalf, we could use it as a tool that works alongside the human, for better, more cohesive collaboration, and that it shouldn't eliminate the role of the human. Which led us to how we generated the brief for our area of focus: How might we leverage the power of machine learning and natural language processing to enhance the way we communicate and visualize our ideas? Our goal isn't to replace written or spoken language, it's to leverage it and provide a user with the ability to depict their thoughts, without the burden of having to know how to draw.
