{"title":"智能设计人员与中级设计人员设计质量与效率的比较","authors":"Jiang Xu, Han Lu","doi":"10.1109/IHMSC55436.2022.00050","DOIUrl":null,"url":null,"abstract":"Design intelligence is to adapt and introduce artificial intelligence methods to design tasks. SmartPaint is a typical design intelligence system to generate paintings, and its improved version further considers the causal relation between objects in a scene and is trained with a larger dataset with over one million artwork samples. In this paper, we compare the improved SmartPaint with 12 intermediate designers on a controlled painting task. The intermediate designers have been working in the design and related industries for over two years. The comparison is about design quality and efficiency, evaluated by 20 volunteers. Empirically we find over 50% of the paintings generated by SmartPaint are more preferred than those drawn by human designers along creativity, artistic quality and color scheme. Besides, SmartPaint takes only less than 1% of the time spended by human designers.","PeriodicalId":447862,"journal":{"name":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Comparing the Design Quality and Efficiency between Design Intelligence and Intermediate Designers\",\"authors\":\"Jiang Xu, Han Lu\",\"doi\":\"10.1109/IHMSC55436.2022.00050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Design intelligence is to adapt and introduce artificial intelligence methods to design tasks. SmartPaint is a typical design intelligence system to generate paintings, and its improved version further considers the causal relation between objects in a scene and is trained with a larger dataset with over one million artwork samples. In this paper, we compare the improved SmartPaint with 12 intermediate designers on a controlled painting task. The intermediate designers have been working in the design and related industries for over two years. The comparison is about design quality and efficiency, evaluated by 20 volunteers. Empirically we find over 50% of the paintings generated by SmartPaint are more preferred than those drawn by human designers along creativity, artistic quality and color scheme. Besides, SmartPaint takes only less than 1% of the time spended by human designers.\",\"PeriodicalId\":447862,\"journal\":{\"name\":\"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC55436.2022.00050\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC55436.2022.00050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparing the Design Quality and Efficiency between Design Intelligence and Intermediate Designers
Design intelligence is to adapt and introduce artificial intelligence methods to design tasks. SmartPaint is a typical design intelligence system to generate paintings, and its improved version further considers the causal relation between objects in a scene and is trained with a larger dataset with over one million artwork samples. In this paper, we compare the improved SmartPaint with 12 intermediate designers on a controlled painting task. The intermediate designers have been working in the design and related industries for over two years. The comparison is about design quality and efficiency, evaluated by 20 volunteers. Empirically we find over 50% of the paintings generated by SmartPaint are more preferred than those drawn by human designers along creativity, artistic quality and color scheme. Besides, SmartPaint takes only less than 1% of the time spended by human designers.