{"title":"你的用户是在寻找还是在收集见解?:识别跨领域的洞察力驱动因素","authors":"M. Smuc, E. Mayr, Hanna Risku","doi":"10.1145/2110192.2110200","DOIUrl":null,"url":null,"abstract":"In recent years, using the number of insights to benchmark visual analytics tools has become a prominent method in the Infovis community. The insight methodology has become a frequently used instrument to measure the performance of tools that are developed for highly specialized purposes for highly specialized domain-experts. But some tools have a wider target group of experts with knowledge in different domains. The utility of the insight-method for other expert user groups without specific domain knowledge has been addressed to a far lesser extent. In a case study we give an illustration of how and where insights from experts with and without domain knowledge differ, and how these findings might enrich the evaluation of visualization tools designed for usage across different domains.","PeriodicalId":235801,"journal":{"name":"Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Is your user hunting or gathering insights?: identifying insight drivers across domains\",\"authors\":\"M. Smuc, E. Mayr, Hanna Risku\",\"doi\":\"10.1145/2110192.2110200\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, using the number of insights to benchmark visual analytics tools has become a prominent method in the Infovis community. The insight methodology has become a frequently used instrument to measure the performance of tools that are developed for highly specialized purposes for highly specialized domain-experts. But some tools have a wider target group of experts with knowledge in different domains. The utility of the insight-method for other expert user groups without specific domain knowledge has been addressed to a far lesser extent. In a case study we give an illustration of how and where insights from experts with and without domain knowledge differ, and how these findings might enrich the evaluation of visualization tools designed for usage across different domains.\",\"PeriodicalId\":235801,\"journal\":{\"name\":\"Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2110192.2110200\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2110192.2110200","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Is your user hunting or gathering insights?: identifying insight drivers across domains
In recent years, using the number of insights to benchmark visual analytics tools has become a prominent method in the Infovis community. The insight methodology has become a frequently used instrument to measure the performance of tools that are developed for highly specialized purposes for highly specialized domain-experts. But some tools have a wider target group of experts with knowledge in different domains. The utility of the insight-method for other expert user groups without specific domain knowledge has been addressed to a far lesser extent. In a case study we give an illustration of how and where insights from experts with and without domain knowledge differ, and how these findings might enrich the evaluation of visualization tools designed for usage across different domains.