Aptly: Making Mobile Apps from Natural Language

April 30, 2024 Β· Declared Dead Β· πŸ› CHI Extended Abstracts

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

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.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Human-Computer Interaction

Died the same way β€” πŸ‘» Ghosted