Demet Yesiltepe, A. O. Torun, A. Coutrot, M. Hornberger, H. Spiers, R. Dalton
{"title":"计算机模型的显著性本身不能预测在观察导航过程中对地标的主观视觉注意","authors":"Demet Yesiltepe, A. O. Torun, A. Coutrot, M. Hornberger, H. Spiers, R. Dalton","doi":"10.1080/13875868.2020.1830993","DOIUrl":null,"url":null,"abstract":"ABSTRACT This study aimed to understand whether or not computer models of saliency could explain landmark saliency. An online survey was conducted and participants were asked to watch videos from a spatial navigation video game (Sea Hero Quest). Participants were asked to pay attention to the environments within which the boat was moving and to rate the perceived saliency of each landmark. In addition, state-of-the-art computer saliency models were used to objectively quantify landmark saliency. No significant relationship was found between objective and subjective saliency measures. This indicates that during passive observation of an environment while being navigated, current automated models of saliency fail to predict subjective reports of visual attention to landmarks.","PeriodicalId":46199,"journal":{"name":"Spatial Cognition and Computation","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Computer models of saliency alone fail to predict subjective visual attention to landmarks during observed navigation\",\"authors\":\"Demet Yesiltepe, A. O. Torun, A. Coutrot, M. Hornberger, H. Spiers, R. Dalton\",\"doi\":\"10.1080/13875868.2020.1830993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This study aimed to understand whether or not computer models of saliency could explain landmark saliency. An online survey was conducted and participants were asked to watch videos from a spatial navigation video game (Sea Hero Quest). Participants were asked to pay attention to the environments within which the boat was moving and to rate the perceived saliency of each landmark. In addition, state-of-the-art computer saliency models were used to objectively quantify landmark saliency. No significant relationship was found between objective and subjective saliency measures. This indicates that during passive observation of an environment while being navigated, current automated models of saliency fail to predict subjective reports of visual attention to landmarks.\",\"PeriodicalId\":46199,\"journal\":{\"name\":\"Spatial Cognition and Computation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2020-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spatial Cognition and Computation\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1080/13875868.2020.1830993\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PSYCHOLOGY, EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spatial Cognition and Computation","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1080/13875868.2020.1830993","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
Computer models of saliency alone fail to predict subjective visual attention to landmarks during observed navigation
ABSTRACT This study aimed to understand whether or not computer models of saliency could explain landmark saliency. An online survey was conducted and participants were asked to watch videos from a spatial navigation video game (Sea Hero Quest). Participants were asked to pay attention to the environments within which the boat was moving and to rate the perceived saliency of each landmark. In addition, state-of-the-art computer saliency models were used to objectively quantify landmark saliency. No significant relationship was found between objective and subjective saliency measures. This indicates that during passive observation of an environment while being navigated, current automated models of saliency fail to predict subjective reports of visual attention to landmarks.