{"title":"Non-verbal communications in mobile text chat: emotion-enhanced mobile chat","authors":"Jackson Feijó Filho, T. Valle, Wilson Prata","doi":"10.1145/2628363.2633576","DOIUrl":null,"url":null,"abstract":"Great part of human communication is carried out non-verbally. All this information is lost in mobile text messaging. This work describes an attempt to augment text chatting in mobile phones by adding automatically detected facial expression reactions, to conversations. These expressions are detected using known image processing techniques. Known related work, concerning the investigation of non-verbal communication through text messaging are considered and distinguished from the present solution. The conception and implementation of a mobile phone application with the debated feature is described and user studies are narrated. Finally, context of application, conclusions and future work are also discussed.","PeriodicalId":74207,"journal":{"name":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","volume":"99 1","pages":"443-446"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MobileHCI : proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. MobileHCI (Conference)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2628363.2633576","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Great part of human communication is carried out non-verbally. All this information is lost in mobile text messaging. This work describes an attempt to augment text chatting in mobile phones by adding automatically detected facial expression reactions, to conversations. These expressions are detected using known image processing techniques. Known related work, concerning the investigation of non-verbal communication through text messaging are considered and distinguished from the present solution. The conception and implementation of a mobile phone application with the debated feature is described and user studies are narrated. Finally, context of application, conclusions and future work are also discussed.
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