{"title":"面向涉及人类计算的系统的复杂性度量","authors":"R. J. Crouser, Benjamin J. Hescott, Remco Chang","doi":"10.15346/HC.V1I1.25","DOIUrl":null,"url":null,"abstract":"This paper introduces the Human Oracle Model as a method for characterizing and quantifying the use of human processing power as part of an algorithmic process. The utility of this model is demonstrated through a comparative algorithmic analysis of several well-known human computation systems, as well as the definition of a preliminary characterization of the space of human computation under this model. Through this research, we hope to gain insight about the challenges unique to human computation and direct the search for efficient human computation algorithms.","PeriodicalId":92785,"journal":{"name":"Human computation (Fairfax, Va.)","volume":"175 1","pages":"45-65"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Toward Complexity Measures for Systems Involving Human Computation\",\"authors\":\"R. J. Crouser, Benjamin J. Hescott, Remco Chang\",\"doi\":\"10.15346/HC.V1I1.25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces the Human Oracle Model as a method for characterizing and quantifying the use of human processing power as part of an algorithmic process. The utility of this model is demonstrated through a comparative algorithmic analysis of several well-known human computation systems, as well as the definition of a preliminary characterization of the space of human computation under this model. Through this research, we hope to gain insight about the challenges unique to human computation and direct the search for efficient human computation algorithms.\",\"PeriodicalId\":92785,\"journal\":{\"name\":\"Human computation (Fairfax, Va.)\",\"volume\":\"175 1\",\"pages\":\"45-65\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human computation (Fairfax, Va.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15346/HC.V1I1.25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human computation (Fairfax, Va.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15346/HC.V1I1.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Toward Complexity Measures for Systems Involving Human Computation
This paper introduces the Human Oracle Model as a method for characterizing and quantifying the use of human processing power as part of an algorithmic process. The utility of this model is demonstrated through a comparative algorithmic analysis of several well-known human computation systems, as well as the definition of a preliminary characterization of the space of human computation under this model. Through this research, we hope to gain insight about the challenges unique to human computation and direct the search for efficient human computation algorithms.