{"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}
引用次数: 9
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.