| dc.contributor.author | Patton, Evan | |
| dc.contributor.author | Kim, David | |
| dc.contributor.author | Granquist, Ashley | |
| dc.contributor.author | Liu, Robin | |
| dc.contributor.author | Scott, Arianna | |
| dc.contributor.author | Zamanova, Jennet | |
| dc.contributor.author | Abelson, Harold | |
| dc.date.accessioned | 2025-12-17T16:18:08Z | |
| dc.date.available | 2025-12-17T16:18:08Z | |
| dc.date.issued | 2025-04-25 | |
| dc.identifier.isbn | 979-8-4007-1395-8 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/164378 | |
| dc.description | CHI EA ’25, Yokohama, Japan | en_US |
| dc.description.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. | en_US |
| dc.publisher | ACM|Extended Abstracts of the CHI Conference on Human Factors in Computing Systems | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3706599.3720081 | en_US |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
| dc.source | Association for Computing Machinery | en_US |
| dc.title | Aptly: Making Mobile Apps from Natural Language | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Evan W Patton, David Y Kim, Ashley M Granquist, Robin Liu, Arianna Scott, Jennet Zamanova, and Harold Abelson. 2025. Aptly: Making Mobile Apps from Natural Language. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25). Association for Computing Machinery, New York, NY, USA, Article 73, 1–6. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.department | Program in Media Arts and Sciences (Massachusetts Institute of Technology) | en_US |
| dc.identifier.mitlicense | PUBLISHER_POLICY | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2025-08-01T08:26:04Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The author(s) | |
| dspace.date.submission | 2025-08-01T08:26:04Z | |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
