{"title":"VibeFones:社交意识手机","authors":"Anmol Madan, A. Pentland","doi":"10.1109/ISWC.2006.286352","DOIUrl":null,"url":null,"abstract":"Today's mobile phones are essentially off-the-shelf, mass-market wearable computers. In this paper, we describe mobile social software that uses tone of voice, location and proximity information to create a sophisticated understanding of people's social lives, by automatically mining their face-to-face and phone interactions. We describe several applications of our system-automatic characterization of social and workplace interactions, a courtesy reminder for phone conversations, and a personal trainer for dating encounters.","PeriodicalId":163300,"journal":{"name":"2006 10th IEEE International Symposium on Wearable Computers","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"50","resultStr":"{\"title\":\"VibeFones: Socially Aware Mobile Phones\",\"authors\":\"Anmol Madan, A. Pentland\",\"doi\":\"10.1109/ISWC.2006.286352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today's mobile phones are essentially off-the-shelf, mass-market wearable computers. In this paper, we describe mobile social software that uses tone of voice, location and proximity information to create a sophisticated understanding of people's social lives, by automatically mining their face-to-face and phone interactions. We describe several applications of our system-automatic characterization of social and workplace interactions, a courtesy reminder for phone conversations, and a personal trainer for dating encounters.\",\"PeriodicalId\":163300,\"journal\":{\"name\":\"2006 10th IEEE International Symposium on Wearable Computers\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"50\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 10th IEEE International Symposium on Wearable Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWC.2006.286352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 10th IEEE International Symposium on Wearable Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWC.2006.286352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Today's mobile phones are essentially off-the-shelf, mass-market wearable computers. In this paper, we describe mobile social software that uses tone of voice, location and proximity information to create a sophisticated understanding of people's social lives, by automatically mining their face-to-face and phone interactions. We describe several applications of our system-automatic characterization of social and workplace interactions, a courtesy reminder for phone conversations, and a personal trainer for dating encounters.