{"title":"寻找基于位置的帖子的交流热点","authors":"Saija Lemmelä, Hannu Korhonen","doi":"10.1145/1240866.1241039","DOIUrl":null,"url":null,"abstract":"The growing amount of location-based public postings will challenge the current visualization and access methods of location-based information. The aim of our work is to provide a clear overview of location-based postings and to support easy access to information the user is interested in. We designed a prototype using a semi-transparent heat map over a map view to visualize posting density on the area of interest. Automatically extracted keywords and dynamic time selection support the search and filtering of location-based public postings. Based on our evaluation, users found the heat map as a familiar abstraction of the location based information. Clustering and displaying the salient words as keywords over the map view was considered to be especially useful.","PeriodicalId":294433,"journal":{"name":"CHI '07 Extended Abstracts on Human Factors in Computing Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Finding communication hot spots of location-based postings\",\"authors\":\"Saija Lemmelä, Hannu Korhonen\",\"doi\":\"10.1145/1240866.1241039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The growing amount of location-based public postings will challenge the current visualization and access methods of location-based information. The aim of our work is to provide a clear overview of location-based postings and to support easy access to information the user is interested in. We designed a prototype using a semi-transparent heat map over a map view to visualize posting density on the area of interest. Automatically extracted keywords and dynamic time selection support the search and filtering of location-based public postings. Based on our evaluation, users found the heat map as a familiar abstraction of the location based information. Clustering and displaying the salient words as keywords over the map view was considered to be especially useful.\",\"PeriodicalId\":294433,\"journal\":{\"name\":\"CHI '07 Extended Abstracts on Human Factors in Computing Systems\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CHI '07 Extended Abstracts on Human Factors in Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1240866.1241039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CHI '07 Extended Abstracts on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1240866.1241039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finding communication hot spots of location-based postings
The growing amount of location-based public postings will challenge the current visualization and access methods of location-based information. The aim of our work is to provide a clear overview of location-based postings and to support easy access to information the user is interested in. We designed a prototype using a semi-transparent heat map over a map view to visualize posting density on the area of interest. Automatically extracted keywords and dynamic time selection support the search and filtering of location-based public postings. Based on our evaluation, users found the heat map as a familiar abstraction of the location based information. Clustering and displaying the salient words as keywords over the map view was considered to be especially useful.