Ling Fan, Yifang Bao, Shuyu Gong, Sida Yan, Harry J. Wang
{"title":"The Brain-Machine-Ratio Model for Designer and AI Collaboration","authors":"Ling Fan, Yifang Bao, Shuyu Gong, Sida Yan, Harry J. Wang","doi":"10.1109/MIPR51284.2021.00058","DOIUrl":null,"url":null,"abstract":"Recently, artificial intelligence is profoundly changing design practice. The relationship between designers and applied artificial intelligence urgently needs a framework and theory to describe and measure. Thus, this article establishes the Brain-Machine-Ratio (BMR) model, which examines the collaborative relationship between the designers and artificial intelligence with the ratio of human and machine labor in the process of design work. The core approach is modeling the proportion of human and AI in seven design tasks on the time dimension. Based on both qualitative and quantitative evaluation, we proposed the concept and statistics of the Brain-Machine-Ratio model and deduced the further collaborative relationship between designers and artificial intelligence.","PeriodicalId":139543,"journal":{"name":"2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIPR51284.2021.00058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Recently, artificial intelligence is profoundly changing design practice. The relationship between designers and applied artificial intelligence urgently needs a framework and theory to describe and measure. Thus, this article establishes the Brain-Machine-Ratio (BMR) model, which examines the collaborative relationship between the designers and artificial intelligence with the ratio of human and machine labor in the process of design work. The core approach is modeling the proportion of human and AI in seven design tasks on the time dimension. Based on both qualitative and quantitative evaluation, we proposed the concept and statistics of the Brain-Machine-Ratio model and deduced the further collaborative relationship between designers and artificial intelligence.