Aptly: Making Mobile Apps from Natural Language

Autor:	Patton, Evan W., Kim, David Y. J., Granquist, Ashley, Liu, Robin, Scott, Arianna, Zamanova, Jennet, Abelson, Harold
Rok vydání:	2024
Předmět:	Computer Science - Human-Computer Interaction Computer Science - Artificial Intelligence Computer Science - Programming Languages
Druh dokumentu:	Working Paper
Popis:	We present Aptly, an extension of the MIT App Inventor platform enabling mobile app development via natural language powered by code-generating large language models (LLMs). Aptly complements App Inventor's block language with a text language designed to allow visual code generation via text-based LLMs. We detail the technical aspects of how the Aptly server integrates LLMs with a realtime collaboration function to facilitate the automated creation and editing of mobile apps given user instructions. The paper concludes with insights from a study of a pilot implementation involving high school students, which examines Aptly's practicality and user experience. The findings underscore Aptly's potential as a tool that democratizes app development and fosters technological creativity. Comment: 11 pages, 7 figures, 2 tables
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2405.00229 Zobrazit plný text záznamu View this record from Arxiv