Aptly: Making Mobile Apps from Natural Language
April 30, 2024 Β· Declared Dead Β· π CHI Extended Abstracts
"No code URL or promise found in abstract"
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Authors
Evan W. Patton, David Y. J. Kim, Ashley Granquist, Robin Liu, Arianna Scott, Jennet Zamanova, Harold Abelson
arXiv ID
2405.00229
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.PL
Citations
1
Venue
CHI Extended Abstracts
Last Checked
4 months ago
Abstract
This paper introduces Aptly, a platform designed to democratize mobile app development, particularly for young learners. Aptly integrates a Large Language Model (LLM) with App Inventor, enabling users to create apps using their natural language. User's description is translated into a programming language that corresponds with App Inventor's visual blocks. A preliminary study with high school students demonstrated the usability and potential of the platform. Prior programming experience influenced how users interact with Aptly. Participants identified areas for improvement and expressed a shift in perspective regarding programming accessibility and AI's role in creative endeavors.
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