{"title":"Control prediction based on cumulative gaze dwell time while browsing contents","authors":"S. Imamura, Jieun Lee, M. Itoh","doi":"10.1145/3588015.3589664","DOIUrl":null,"url":null,"abstract":"The utilization of gaze behavior for control has been studied as one of the hands-free control methods. With the recent spread of Head Mounted Display devices, it has become a vital issue to establish hands-free control methods. Previously proposed approaches using the eye gaze behavior have several problems to be solved for natural manipulation during content browsing. Therefore, in this study, considering the case where the gaze point leaves the decision area for a short period, we propose a method that enables accurate control prediction based on gaze behavior during content browsing by counting the cumulative gaze dwell time. Through experimentation, we confirmed that the proposed method would be effective for the accurate prediction of user intention. The limitation of our method and further issues to be addressed were also clarified.","PeriodicalId":263409,"journal":{"name":"Proceedings of the 2023 Symposium on Eye Tracking Research and Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 Symposium on Eye Tracking Research and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3588015.3589664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The utilization of gaze behavior for control has been studied as one of the hands-free control methods. With the recent spread of Head Mounted Display devices, it has become a vital issue to establish hands-free control methods. Previously proposed approaches using the eye gaze behavior have several problems to be solved for natural manipulation during content browsing. Therefore, in this study, considering the case where the gaze point leaves the decision area for a short period, we propose a method that enables accurate control prediction based on gaze behavior during content browsing by counting the cumulative gaze dwell time. Through experimentation, we confirmed that the proposed method would be effective for the accurate prediction of user intention. The limitation of our method and further issues to be addressed were also clarified.