.

AI4Architect: An Intelligent Help System to Support Students in the Design Domain

LAUR Repository

Show simple item record

dc.contributor.author Abrusci, Luca
dc.contributor.author Dabaghi, Karma
dc.contributor.author D’Urso, Stefano
dc.contributor.author Sciarrone, Filippo
dc.date.accessioned 2024-03-18T09:27:10Z
dc.date.available 2024-03-18T09:27:10Z
dc.date.copyright 2023 en_US
dc.date.issued 2023-09-01
dc.identifier.isbn 9783031412264 en_US
dc.identifier.uri http://hdl.handle.net/10725/15437
dc.description.abstract Chatbots are important tools for improving learning by assisting students in their daily learning activities. In recent years, Deep Learning techniques have made it possible to train chatbots in increasingly comprehensive and even adaptive ways. ChatGPT and DALL-E are the latest and most advanced examples of chatbots that are capable, respectively, of providing textual responses to questions about almost any knowledge domain and of creating an image produced by a concept expressed in a textual form. More and more, students use such applications as a support in their learning process at all levels of study. In this paper, we present the AI4Architect system, a web application to support students in creating their projects in the design domain. The system consists of two modules, structured in a pipe configuration. The first module is based on ChatGPT and the second on DALL-E: students can first post a question and then ask for one or more images to be created based on the response to that question. Our goal is to investigate if such an AI-based system can help students as draw guidance and inspiration for the production of their design projects. A controlled experiment was conducted that showed the effectiveness of the system as a valid educational support. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartofseries Lecture notes in networks and systems
dc.title AI4Architect: An Intelligent Help System to Support Students in the Design Domain en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SAD en_US
dc.author.idnumber 201604319 en_US
dc.author.department Architecture And Interior Design en_US
dc.description.physdesc xv, 260 pages : illustrations (some color) en_US
dc.publication.place Cham en_US
dc.keywords Intelligent Chatbots en_US
dc.keywords Design en_US
dc.keywords ChatGPT en_US
dc.keywords DALL-E en_US
dc.description.bibliographiccitations Includes bibliographical references. en_US
dc.identifier.doi https://doi.org/10.1007/978-3-031-41226-4_7 en_US
dc.identifier.ctation Abrusci, L., Dabaghi, K., D’Urso, S., & Sciarrone, F. (2023, July). AI4Architect: An Intelligent Help System to Support Students in the Design Domain. In International Conference in Methodologies and intelligent Systems for Techhnology Enhanced Learning (pp. 65-72). Cham: Springer. en_US
dc.author.email karma.dabaghi@lau.edu.lb en_US
dc.conference.date 12-14 July, 2023 en_US
dc.conference.pages 65-72 en_US
dc.conference.place Guimaraes, Portugal en_US
dc.conference.title Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://link.springer.com/chapter/10.1007/978-3-031-41226-4_7 en_US
dc.orcid.id https://orcid.org/0000-0003-2522-8450 en_US
dc.publication.date 2023 en_US
dc.author.affiliation Lebanese American University en_US
dc.relation.numberofseries v. 764 en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search LAUR


Advanced Search

Browse

My Account