欢迎来到天天文库
浏览记录
ID:32043978
大小:2.34 MB
页数:63页
时间:2019-01-30
《表情分析技术在可用性评估中的应用研究——以facereader软件为例》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、万方数据浙江理工大学硕士学位论文验结果,相对于改进后可用性水平较高的产品,可用性水平较差的改进前产品不但操作时间更长,正确率更低,负性表情成分更多,SUS评分更低,且在表情强度上,SUS评分与“悲伤”、“生气”、“惊奇”等负性情绪成分问存在显著负相关。而正性表情成分指标相对来说没有显著差异。关键词:表情识别;FaceReader;有效性;可用性万方数据浙江理工大学硕士学位论文AbstractFacialexpressionanalysismethodinusabilityevaluationreferstodirectmeasureandana
2、lysisoftheexpressionsgeneratedintheprocessofusingtheproduct.Withthedirectandreal-timeadvantage,facialexpressionanalysismakesupforthetraditionalusabilitymethods’indirect,hystereticdisadvantage.Hence,moreandmoreresearchersbegantOpayattentiontothevalueoftheexpressionanalysis.Th
3、isstudytookFaceReadersoftwareasanexample,firstly,thefacialexpressionrecognitioneffectivenessinChinesewasexaminedbymeansofstandardexpressionsdatabase,andthentheapplicationofexpressionindexinusabilityevaluationWasexploredusingFaceReaderasat001.Thisresearchprovidedascientificba
4、sisforusingexpressionanalysismethodinproductusabilityevaluation.ThispaperincludedtWOstudies.Thedetailswereasfollows:Studyl:InvestigateeffectivenessofFaceReaderexpressionanalysissoftwareonthefacialexpressionrecognitioninChina.ThispartofthestudyusedthreekindsofimagefromUSTC-NV
5、IEstandardexpressiondatabase:artificialfacialemotion,spontaneousfacialexpression,dynamicexpressiontriggeredbystandardemotionstimulation.BycomparingrecognitionrateandStrengthconsistencybetWeenFaceReaderexpressionanalysissoftwareandhumanevaluatorsofthreekindsofexpressionstimul
6、ation,thestudyinvestigatedeffectivenessofFaceReaderexpressionanalysissoftwareonthefacialexpressionrecognitioninChina.Firstly,forartificialfacialexpressionimagesandspontaneousfacialexpressionpictures,standardizedselectwasfirstlyconducted.Thentherecognitionrateandstrengthconsi
7、stencyfromFaceReaderandevaluatorswascomparedindifferentexpressiontypes.Secondly,forfacialexpressionvideos,standardizedemotionelicitingstimulusWasusedtocollectexpressionvideomaterial,thenrecognitionrateandintensityconsistencyWascomparedfromFaceReaderandsubjects’self-report,Fa
8、ceReaderandevaluatorsindifferentexpressiontypes.万方数据浙江理工大学硕士学位论文Study2:Appl
此文档下载收益归作者所有