{"title":"从注视推断自然主义行为的意图和行为:综述","authors":"Kristian Lukander, M. Toivanen, K. Puolamäki","doi":"10.4018/IJMHCI.2017100104","DOIUrl":null,"url":null,"abstract":"Weconstantlymoveourgazetogatheracutevisualinformationfromourenvironment.Conversely,as originallyshownbyYarbusinhisseminalwork,theelicitedgazepatternsholdinformationoverour changingattentionalfocuswhileperformingatask.Recently,theproliferationofmachinelearning algorithmshasallowedtheresearchcommunitytotesttheideaofinferring,orevenpredictingaction andintentfromgazebehaviour.Theon-goingminiaturizationofgazetrackingtechnologiestoward pervasivewearablesolutionsallowsstudyinginferencealsoineverydayactivitiesoutsideresearch laboratories.Thispaperscopestheemergingfieldandreviewsstudiesfocusingontheinferenceof intentandactioninnaturalisticbehaviour.Whilethetask-specificnatureofgazebehavior,andthe variabilityinnaturalisticsetupspresentchallenges,gaze-basedinferenceholdsaclearpromisefor machine-basedunderstandingofhumanintentandfutureinteractivesolutions. KeywoRdS Eye Movements, Gaze Tracking, Inference, Intent Modeling, Scoping Study, Task Modeling","PeriodicalId":43100,"journal":{"name":"International Journal of Mobile Human Computer Interaction","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Inferring Intent and Action from Gaze in Naturalistic Behavior: A Review\",\"authors\":\"Kristian Lukander, M. Toivanen, K. Puolamäki\",\"doi\":\"10.4018/IJMHCI.2017100104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Weconstantlymoveourgazetogatheracutevisualinformationfromourenvironment.Conversely,as originallyshownbyYarbusinhisseminalwork,theelicitedgazepatternsholdinformationoverour changingattentionalfocuswhileperformingatask.Recently,theproliferationofmachinelearning algorithmshasallowedtheresearchcommunitytotesttheideaofinferring,orevenpredictingaction andintentfromgazebehaviour.Theon-goingminiaturizationofgazetrackingtechnologiestoward pervasivewearablesolutionsallowsstudyinginferencealsoineverydayactivitiesoutsideresearch laboratories.Thispaperscopestheemergingfieldandreviewsstudiesfocusingontheinferenceof intentandactioninnaturalisticbehaviour.Whilethetask-specificnatureofgazebehavior,andthe variabilityinnaturalisticsetupspresentchallenges,gaze-basedinferenceholdsaclearpromisefor machine-basedunderstandingofhumanintentandfutureinteractivesolutions. KeywoRdS Eye Movements, Gaze Tracking, Inference, Intent Modeling, Scoping Study, Task Modeling\",\"PeriodicalId\":43100,\"journal\":{\"name\":\"International Journal of Mobile Human Computer Interaction\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mobile Human Computer Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJMHCI.2017100104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mobile Human Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJMHCI.2017100104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
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