Eye Tracking Research & Application最新文献_第8页

Task Classification using Eye Movements and Graph Neural Networks 利用眼动和图神经网络进行任务分类

Eye Tracking Research & Application Pub Date : 2024-06-04 DOI: 10.1145/3649902.3655097

Jarod P. Hartley

引用次数: 0

Characterizing Learners' Complex Attentional States During Online Multimedia Learning Using Eye-tracking, Egocentric Camera, Webcam, and Retrospective recalls 利用眼动跟踪、眼球中心摄像机、网络摄像头和回顾性回想描述学习者在在线多媒体学习过程中的复杂注意状态

Eye Tracking Research & Application Pub Date : 2024-06-04 DOI: 10.1145/3649902.3653939

Prasanth Chandran, Yifeng Huang, J. Munsell, Brian Howatt, Brayden Wallace, Lindsey Wilson, Sidney K. D’Mello, Minh Hoai, N. S. Rebello, Lester C. Loschky

引用次数: 0

Joint Attention on the Future: Pro-Ecological Attitudes Change In Collaboration 共同关注未来：在合作中改变支持生态的态度

Eye Tracking Research & Application Pub Date : 2024-06-04 DOI: 10.1145/3649902.3655100

Iga Szwoch

引用次数: 0

Impact of reward expectation on pupillary change during an adaptive two player card game 在适应性双人纸牌游戏中，奖励预期对瞳孔变化的影响

Eye Tracking Research & Application Pub Date : 2024-06-04 DOI: 10.1145/3649902.3655649

Ryo Yasuda, Minoru Nakayama

引用次数: 0

Attempts on detecting Alzheimer's disease by fine-tuning pre-trained model with Gaze Data 利用凝视数据微调预训练模型检测阿尔茨海默病的尝试

Eye Tracking Research & Application Pub Date : 2024-06-04 DOI: 10.1145/3649902.3656360

Junichi Nagasawa, Yuichi Nakata, Mamoru Hiroe, Yujia Zheng, Yutaka Kawaguchi, Yuji Maegawa, Naoki Hojo, Tetsuya Takiguchi, Minoru Nakayama, Maki Uchimura, Yuma Sonoda, Hisatomo Kowa, Takashi Nagamatsu

引用次数: 0

Analyzing and Interpreting Eye Movements in C++: Using Holistic Models of Image Perception 用 C++ 分析和解释眼球运动：使用图像感知整体模型

Eye Tracking Research & Application Pub Date : 2024-06-04 DOI: 10.1145/3649902.3655093

Florian Hauser, Lisa Grabinger, Timur Ezer, J. Mottok, Hans Gruber

引用次数: 0

The role of stress in silent reading 压力在默读中的作用

Eye Tracking Research & Application Pub Date : 2024-06-04 DOI: 10.1145/3649902.3656492

Kristina Cergol, M. Palmović

引用次数: 0

Visual feature extraction via eye tracking for saliency driven 2D/3D registration 通过眼动追踪提取视觉特征，用于显著性驱动的2D/3D配准

Eye Tracking Research & Application Pub Date : 2004-03-22 DOI: 10.1145/968363.968371

A. Chung, F. Deligianni, Xiao-Peng Hu, Guang-Zhong Yang

{"title":"Visual feature extraction via eye tracking for saliency driven 2D/3D registration","authors":"A. Chung, F. Deligianni, Xiao-Peng Hu, Guang-Zhong Yang","doi":"10.1145/968363.968371","DOIUrl":"https://doi.org/10.1145/968363.968371","url":null,"abstract":"This paper presents a new technique for extracting visual saliency from experimental eye tracking data. An eye-tracking system is employed to determine which features that a group of human observers considered to be salient when viewing a set of video images. With this information, a biologically inspired saliency map is derived by transforming each observed video image into a feature space representation. By using a feature normalisation process based on the relative abundance of visual features within the background image and those dwelled on eye tracking scan paths, features related to visual attention are determined. These features are then back projected to the image domain to determine spatial areas of interest for unseen video images. The strengths and weaknesses of the method are demonstrated with feature correspondence for 2D to 3D image registration of endoscopy videos with computed tomography data. The biologically derived saliency map is employed to provide an image similarity measure that forms the heart of the 2D/3D registration method. It is shown that by only processing selective regions of interest as determined by the saliency map, rendering overhead can be greatly reduced. Significant improvements in pose estimation efficiency can be achieved without apparent reduction in registration accuracy when compared to that of using a non-saliency based similarity measure.","PeriodicalId":127538,"journal":{"name":"Eye Tracking Research & Application","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123587953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Mental imagery in problem solving: an eye tracking study 解决问题的心理意象:一项眼动追踪研究

Eye Tracking Research & Application Pub Date : 2004-03-22 DOI: 10.1145/968363.968382

Daesub Yoon, N. Hari Narayanan

{"title":"Mental imagery in problem solving: an eye tracking study","authors":"Daesub Yoon, N. Hari Narayanan","doi":"10.1145/968363.968382","DOIUrl":"https://doi.org/10.1145/968363.968382","url":null,"abstract":"Cognitive models and empirical studies of problem solving in visuo-spatial and causal domains suggest that problem solving tasks in such domains invoke cognitive processes involving mental animation and imagery. If these internal processes are externally manifested in the form of eye movements, such tasks present situations in which the trajectory of a user's visual attention can provide clues regarding his or her information needs to an Attentive User Interface [Vertegaal 2002]. In this paper, we briefly review research related to problem solving that involves mental imagery, and describe an experiment that looked for evidence and effects of an imagery strategy in problem solving. We eye-tracked 90 subjects solving two causal reasoning problems, one in which a diagram of the problem appeared on the stimulus display, and a second related problem that was posed on a blank display. Results indicated that 42% of the subjects employed mental imagery and visually scanned the display in a correspondingly systematic fashion. This suggests that information displays that respond to a user's visual attention trajectory, a kind of Attentive User Interface, are more likely to benefit this class of users.","PeriodicalId":127538,"journal":{"name":"Eye Tracking Research & Application","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122648496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 50

Effects of feedback on eye typing with a short dwell time 反馈对短停留时间眼打字的影响

Eye Tracking Research & Application Pub Date : 2004-03-22 DOI: 10.1145/968363.968390

P. Majaranta, A. Aula, Kari-Jouko Räihä

引用次数: 77