Predicting human location based on human personality
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, S.Y. | - |
dc.contributor.author | Song, H.Y. | - |
dc.date.accessioned | 2021-10-12T08:44:34Z | - |
dc.date.available | 2021-10-12T08:44:34Z | - |
dc.date.created | 2021-10-08 | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/16451 | - |
dc.description.abstract | It is generally believed that human personality affects human mobility patterns. Human personality factors, especially the Big Five factors, allow for the future location of a person to be probabilistically predicted in combination with personal mobility model. For this purpose, we collected the Big Five factors and positioning data for five volunteer participants. Human positioning data can be modeled under an individual human mobility model. With these personality factors and the human mobility model, a person's near future location can actually be predicted using a back propagation network. © 2014 Springer International Publishing. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer Verlag | - |
dc.subject | Artificial intelligence | - |
dc.subject | Computer science | - |
dc.subject | Computers | - |
dc.subject | Big five | - |
dc.subject | Human mobility | - |
dc.subject | Location prediction | - |
dc.subject | Personal mobility | - |
dc.subject | Personality Factors | - |
dc.subject | Space time analysis | - |
dc.subject | Internet of things | - |
dc.title | Predicting human location based on human personality | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Song, H.Y. | - |
dc.identifier.doi | 10.1007/978-3-319-10353-2_7 | - |
dc.identifier.scopusid | 2-s2.0-84905908697 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.8638 LNCS, pp.70 - 81 | - |
dc.relation.isPartOf | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.volume | 8638 LNCS | - |
dc.citation.startPage | 70 | - |
dc.citation.endPage | 81 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Artificial intelligence | - |
dc.subject.keywordPlus | Computer science | - |
dc.subject.keywordPlus | Computers | - |
dc.subject.keywordPlus | Big five | - |
dc.subject.keywordPlus | Human mobility | - |
dc.subject.keywordPlus | Location prediction | - |
dc.subject.keywordPlus | Personal mobility | - |
dc.subject.keywordPlus | Personality Factors | - |
dc.subject.keywordPlus | Space time analysis | - |
dc.subject.keywordPlus | Internet of things | - |
dc.subject.keywordAuthor | Big Five Factors | - |
dc.subject.keywordAuthor | Human Mobility Model | - |
dc.subject.keywordAuthor | Location Prediction | - |
dc.subject.keywordAuthor | Personal Mobility Model | - |
dc.subject.keywordAuthor | Personality Factors | - |
dc.subject.keywordAuthor | Space-Time Analysis | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.