{"title":"人在循环数据分析研讨会论文集","authors":"Carsten Binnig, A. Fekete, Arnab Nandi","doi":"10.1145/3209900","DOIUrl":null,"url":null,"abstract":"We are delighted to present the papers from the first HILDA Workshop on Human-in-the-Loop Data Analytics, which took place on 26 June, 2016 co-located with the ACM SIGMOD conference in San Francisco, California, USA. \n \nAn often overlooked component when designing a data management system is the set of users interacting with it { the human-in-the-loop. A major bottleneck in data analytics today is to efficiently leverage the human capabilities to formulate questions and understand answers of data analytics systems. In the database community the first vision papers towards that direction discussed topics such as interactive data exploration or querying data management systems with more intuitive user interfaces. Recent technology trends (such as touch screens, motion detection, and voice recognition) are widening the possibilities for users to interact with data, and data-driven industries are shifting to personalized processing to better target their services to the users' needs. \n \nWe created HILDA to broaden the scope of how data analytics can be done with the awareness of people. A major goal of HILDA was to bring together researchers and practitioners from the database community with various other communities such as the HCI community or the Information Visualization community. We sought papers that propose innovations to improve the way people can work with data management systems, and also work that studies how humans work with existing systems. We explicitly asked for submissions that present initial ideas and visions, just as much as reports on early results, or reflections on completed projects.","PeriodicalId":92279,"journal":{"name":"Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Workshop on Human-In-the-Loop Data Analytics (2nd : 2017 : Chicago, Ill.)","volume":"22 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Proceedings of the Workshop on Human-In-the-Loop Data Analytics\",\"authors\":\"Carsten Binnig, A. Fekete, Arnab Nandi\",\"doi\":\"10.1145/3209900\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We are delighted to present the papers from the first HILDA Workshop on Human-in-the-Loop Data Analytics, which took place on 26 June, 2016 co-located with the ACM SIGMOD conference in San Francisco, California, USA. \\n \\nAn often overlooked component when designing a data management system is the set of users interacting with it { the human-in-the-loop. A major bottleneck in data analytics today is to efficiently leverage the human capabilities to formulate questions and understand answers of data analytics systems. In the database community the first vision papers towards that direction discussed topics such as interactive data exploration or querying data management systems with more intuitive user interfaces. Recent technology trends (such as touch screens, motion detection, and voice recognition) are widening the possibilities for users to interact with data, and data-driven industries are shifting to personalized processing to better target their services to the users' needs. \\n \\nWe created HILDA to broaden the scope of how data analytics can be done with the awareness of people. A major goal of HILDA was to bring together researchers and practitioners from the database community with various other communities such as the HCI community or the Information Visualization community. We sought papers that propose innovations to improve the way people can work with data management systems, and also work that studies how humans work with existing systems. We explicitly asked for submissions that present initial ideas and visions, just as much as reports on early results, or reflections on completed projects.\",\"PeriodicalId\":92279,\"journal\":{\"name\":\"Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. Workshop on Human-In-the-Loop Data Analytics (2nd : 2017 : Chicago, Ill.)\",\"volume\":\"22 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. 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Proceedings of the Workshop on Human-In-the-Loop Data Analytics
We are delighted to present the papers from the first HILDA Workshop on Human-in-the-Loop Data Analytics, which took place on 26 June, 2016 co-located with the ACM SIGMOD conference in San Francisco, California, USA.
An often overlooked component when designing a data management system is the set of users interacting with it { the human-in-the-loop. A major bottleneck in data analytics today is to efficiently leverage the human capabilities to formulate questions and understand answers of data analytics systems. In the database community the first vision papers towards that direction discussed topics such as interactive data exploration or querying data management systems with more intuitive user interfaces. Recent technology trends (such as touch screens, motion detection, and voice recognition) are widening the possibilities for users to interact with data, and data-driven industries are shifting to personalized processing to better target their services to the users' needs.
We created HILDA to broaden the scope of how data analytics can be done with the awareness of people. A major goal of HILDA was to bring together researchers and practitioners from the database community with various other communities such as the HCI community or the Information Visualization community. We sought papers that propose innovations to improve the way people can work with data management systems, and also work that studies how humans work with existing systems. We explicitly asked for submissions that present initial ideas and visions, just as much as reports on early results, or reflections on completed projects.