{"title":"探讨地质勘探与信息勘探行为之间的联系","authors":"Dongho Choi, C. Shah, Vivek K. Singh","doi":"10.1145/2971648.2971694","DOIUrl":null,"url":null,"abstract":"As increasingly diverse facets of human life - including socializing, exercising, and information-seeking - are mediated by ubiquitous technology, they open the doors for the study of the hitherto under-explored interconnections between them. This work motivates and grounds the use of geo-exploration data to predict the information exploration behavior of users and to support their search. Based on a two-week field study involving 35 participants, we have identified multiple geo-exploration features that have significant associations with a user's information exploration behavior. We also found that the same geo-exploration features could be combined to build predictive models for various facets of an individual's information exploration behavior, and these models performed significantly better than comparable personality-based models.","PeriodicalId":303792,"journal":{"name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Probing the interconnections between geo-exploration and information exploration behavior\",\"authors\":\"Dongho Choi, C. Shah, Vivek K. Singh\",\"doi\":\"10.1145/2971648.2971694\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As increasingly diverse facets of human life - including socializing, exercising, and information-seeking - are mediated by ubiquitous technology, they open the doors for the study of the hitherto under-explored interconnections between them. This work motivates and grounds the use of geo-exploration data to predict the information exploration behavior of users and to support their search. Based on a two-week field study involving 35 participants, we have identified multiple geo-exploration features that have significant associations with a user's information exploration behavior. We also found that the same geo-exploration features could be combined to build predictive models for various facets of an individual's information exploration behavior, and these models performed significantly better than comparable personality-based models.\",\"PeriodicalId\":303792,\"journal\":{\"name\":\"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2971648.2971694\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2971648.2971694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Probing the interconnections between geo-exploration and information exploration behavior
As increasingly diverse facets of human life - including socializing, exercising, and information-seeking - are mediated by ubiquitous technology, they open the doors for the study of the hitherto under-explored interconnections between them. This work motivates and grounds the use of geo-exploration data to predict the information exploration behavior of users and to support their search. Based on a two-week field study involving 35 participants, we have identified multiple geo-exploration features that have significant associations with a user's information exploration behavior. We also found that the same geo-exploration features could be combined to build predictive models for various facets of an individual's information exploration behavior, and these models performed significantly better than comparable personality-based models.