An evaluation system for interior design solutions based on artificial intelligence processing technology

Zheng, Shuang

doi:10.1117/12.2639884

Cited by 2 publications

(1 citation statement)

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“…Xu & Yu (2022) mainly studied the visual performance of psychological factors in interior design under the background of artificial intelligence. Zheng (2022) discussed the issue of interior design marketing and an inevitable trend in the future development of interior space design solutions. Huang et al (2022) focused on the evaluation method of interior design programs based on artificial intelligence processing technology.…”

Section: Introductionmentioning

confidence: 99%

Integrating Artificial Intelligence in Interior Design Education: Concept Development

Kahraman,

Şekerci,

Develier

et al. 2024

Journal of Computational Design

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This article aims to explore the integration of artificial intelligence (AI) as a design tool in interior design education. The research examines the students' interior design studio project outcomes over the usage of AI in creating conceptual images, and the implementation of the AI-created concept to the overall space. In the research, students' projects are divided into two groups of 5 according to sufficient or insufficient prompts for the "AI generated" conceptual images. Barnard's (1992) CAIDC (Consensual Assessment of Interior Design Creativity) scale was used for the assessment. Mann-Whitney U Test was conducted for the results. We understand that there is no significant difference between writing sufficient or insufficient prompts in the concept development phase of interior design projects according to the Barnard (1992)’s design merits. It has been confirmed that the main factor that influences this regard is the need for an appropriate "concept analysis" to adapt the concept generated with AI to the specified project spaces.

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Section: Introductionmentioning

confidence: 99%