{"title":"欺骗行为的三模态分析","authors":"M. Abouelenien, Rada Mihalcea, Mihai Burzo","doi":"10.1145/2823465.2823470","DOIUrl":null,"url":null,"abstract":"The need arises for developing a more reliable deception detection system to address the shortcomings of the traditional polygraph tests and the dependability on physiological indicators of deceit. This paper describes a new deception detection dataset, provides a novel comparison between three modalities to identify deception including the visual, thermal, and physiological domains, and analyzes whether certain facial areas are more capable of indicating deceit. Our experimental results show a promising performance especially with the thermal modality, and provide guidelines for our data collection process and future work.","PeriodicalId":343906,"journal":{"name":"Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Trimodal Analysis of Deceptive Behavior\",\"authors\":\"M. Abouelenien, Rada Mihalcea, Mihai Burzo\",\"doi\":\"10.1145/2823465.2823470\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The need arises for developing a more reliable deception detection system to address the shortcomings of the traditional polygraph tests and the dependability on physiological indicators of deceit. This paper describes a new deception detection dataset, provides a novel comparison between three modalities to identify deception including the visual, thermal, and physiological domains, and analyzes whether certain facial areas are more capable of indicating deceit. Our experimental results show a promising performance especially with the thermal modality, and provide guidelines for our data collection process and future work.\",\"PeriodicalId\":343906,\"journal\":{\"name\":\"Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2015 ACM on Workshop on Multimodal Deception Detection\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2823465.2823470\",\"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 2015 ACM on Workshop on Multimodal Deception Detection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2823465.2823470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The need arises for developing a more reliable deception detection system to address the shortcomings of the traditional polygraph tests and the dependability on physiological indicators of deceit. This paper describes a new deception detection dataset, provides a novel comparison between three modalities to identify deception including the visual, thermal, and physiological domains, and analyzes whether certain facial areas are more capable of indicating deceit. Our experimental results show a promising performance especially with the thermal modality, and provide guidelines for our data collection process and future work.