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dc.contributor.author Hrishikesh, RS
dc.date.accessioned 2024-11-21T04:13:42Z
dc.date.available 2024-11-21T04:13:42Z
dc.date.issued 2024
dc.identifier.issn 3030-7139 en_US
dc.identifier.issn 3030-7147 en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/22943
dc.description.abstract Unlike belief and knowledge, intelligence is not information: it is a process, or an innate capacity to use the information to respond to ever-changing requirements. Through assiduous practice, one can become more skilled. By diligent study and careful observation, one can become more knowledgeable. But creating machine intelligence, however, poses challenges of an altogether different order. Similarly, developing algorithms and designing a model to train the Artificial Intelligent software for generating concepts constantly requires attention to feed the software with appropriate data, although giving less assurance of predictive and accurate results. The assistance given by these tools is used by many designers across the world to explore the creativity of these software models. This paper aims to study and explore the rate of desired idea/concept generation with the help of Artificial Intelligence based computer software and understand its role in conventional design education. The study will use a relative comparison between the produced outcome and the expected ones as a parameter to investigate the efficiency of artificial intelligence-based tools. Design professionals and students that employ artificial intelligence-based software for developing concepts to speed up the concept generation process in their design process will be considered for the qualitative research stage. en_US
dc.language.iso en en_US
dc.publisher Department of Integrated Design, University of Moratuwa en_US
dc.subject Artificial intelligence en_US
dc.subject creativity en_US
dc.subject designer en_US
dc.subject education en_US
dc.subject algorithm en_US
dc.title Role of artificial intelligence text-to-image tools in design education en_US
dc.type Article-Full-text en_US
dc.identifier.year 2024 en_US
dc.identifier.journal Integrated Design Research Journal en_US
dc.identifier.issue 2 en_US
dc.identifier.volume 1 en_US
dc.identifier.pgnos pp. 77-88 en_US
dc.identifier.email [email protected] en_US
dc.identifier.doi https://doi.org/10.31705/IDR.v1(2).2024.7 en_US


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