Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications最新文献_第3页

Getting (more) real: bringing eye movement classification to HMD experiments with equirectangular stimuli 变得(更)真实:将眼动分类引入等方刺激的HMD实验

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3319829

I. Agtzidis, M. Dorr

{"title":"Getting (more) real: bringing eye movement classification to HMD experiments with equirectangular stimuli","authors":"I. Agtzidis, M. Dorr","doi":"10.1145/3314111.3319829","DOIUrl":"https://doi.org/10.1145/3314111.3319829","url":null,"abstract":"The classification of eye movements is a very important part of eye tracking research and has been studied since its early days. Over recent years, we have experienced an increasing shift towards more immersive experimental scenarios with the use of eye-tracking enabled glasses and head-mounted displays. In these new scenarios, however, most of the existing eye movement classification algorithms cannot be applied robustly anymore because they were developed with monitor-based experiments using regular 2D images and videos in mind. In this paper, we describe two approaches that reduce artifacts of eye movement classification for 360° videos shown in head-mounted displays. For the first approach, we discuss how decision criteria have to change in the space of 360° videos, and use these criteria to modify five popular algorithms from the literature. The modified algorithms are publicly available at https://web.gin.g-node.org/ioannis.agtzidis/360_em_algorithms. For cases where an existing algorithm cannot be modified, e.g. because it is closed-source, we present a second approach that maps the data instead of the algorithm to the 360° space. An empirical evaluation of both approaches shows that they significantly reduce the artifacts of the initial algorithm, especially in the areas further from the horizontal midline.","PeriodicalId":161901,"journal":{"name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121143879","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: 2

Exploring simple neural network architectures for eye movement classification 探索眼动分类的简单神经网络架构

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3319813

Jonas Goltz, M. Grossberg, Ronak Etemadpour

引用次数: 3

Characterizing joint attention behavior during real world interactions using automated object and gaze detection 使用自动对象和凝视检测来描述真实世界交互中的共同注意行为

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3319843

Pranav Venuprasad, Tushar Dobhal, Anurag Paul, Tu N. Nguyen, A. Gilman, P. Cosman, L. Chukoskie

{"title":"Characterizing joint attention behavior during real world interactions using automated object and gaze detection","authors":"Pranav Venuprasad, Tushar Dobhal, Anurag Paul, Tu N. Nguyen, A. Gilman, P. Cosman, L. Chukoskie","doi":"10.1145/3314111.3319843","DOIUrl":"https://doi.org/10.1145/3314111.3319843","url":null,"abstract":"Joint attention is an essential part of the development process of children, and impairments in joint attention are considered as one of the first symptoms of autism. In this paper, we develop a novel technique to characterize joint attention in real time, by studying the interaction of two human subjects with each other and with multiple objects present in the room. This is done by capturing the subjects' gaze through eye-tracking glasses and detecting their looks on predefined indicator objects. A deep learning network is trained and deployed to detect the objects in the field of vision of the subject by processing the video feed of the world view camera mounted on the eye-tracking glasses. The looking patterns of the subjects are determined and a real-time audio response is provided when a joint attention is detected, i.e., when their looks coincide. Our findings suggest a trade-off between the accuracy measure (Look Positive Predictive Value) and the latency of joint look detection for various system parameters. For more accurate joint look detection, the system has higher latency, and for faster detection, the detection accuracy goes down.","PeriodicalId":161901,"journal":{"name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131262401","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: 9

EyeMRTK: a toolkit for developing eye gaze interactive applications in virtual and augmented reality EyeMRTK:用于在虚拟和增强现实中开发眼睛注视交互应用程序的工具包

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3317956.3318155

D. Mardanbegi, Thies Pfeiffer

引用次数: 6

Looks can mean achieving: understanding eye gaze patterns of proficiency in code comprehension 外观可以意味着实现:理解眼睛注视模式，熟练理解代码

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3322876

Jonathan A. Saddler

引用次数: 1

Attentional orienting in virtual reality using endogenous and exogenous cues in auditory and visual modalities 在虚拟现实中使用听觉和视觉模式的内源性和外源性线索的注意定向

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3317959.3321490

Rébaï Soret, Pom Charras, C. Hurter, Vsevolod Peysakhovich

{"title":"Attentional orienting in virtual reality using endogenous and exogenous cues in auditory and visual modalities","authors":"Rébaï Soret, Pom Charras, C. Hurter, Vsevolod Peysakhovich","doi":"10.1145/3317959.3321490","DOIUrl":"https://doi.org/10.1145/3317959.3321490","url":null,"abstract":"The virtual reality (VR) has nowadays numerous applications in training, education, and rehabilitation. To efficiently present the immersive 3D stimuli, we need to understand how spatial attention is oriented in VR. The efficiency of different cues can be compared using the Posner paradigm. In this study, we designed an ecological environment where participants were presented with a modified version of the Posner cueing paradigm. Twenty subjects equipped with an eye-tracking system and VR HMD performed a sandwich preparation task. They were asked to assemble the ingredients which could be either endogenously and exogenously cued in both auditory and visual modalities. The results showed that all valid cues made participants react faster. While directional arrow (visual endogenous) and 3D sound (auditory exogenous) oriented attention globally to the entire cued hemifield, the vocal instruction (auditory endogenous) and object highlighting (visual exogenous) allowed more local orientation, in a specific region of space. No differences in gaze shift initiation nor time to fixate the target were found suggesting the covert orienting.","PeriodicalId":161901,"journal":{"name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114815407","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: 11

Screen corner detection using polarization camera for cross-ratio based gaze estimation 基于交叉比注视估计的偏振相机屏幕角检测

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3319814

M. Sasaki, Takashi Nagamatsu, K. Takemura

{"title":"Screen corner detection using polarization camera for cross-ratio based gaze estimation","authors":"M. Sasaki, Takashi Nagamatsu, K. Takemura","doi":"10.1145/3314111.3319814","DOIUrl":"https://doi.org/10.1145/3314111.3319814","url":null,"abstract":"Eye tracking, which measures line of sight, is expected to advance as an intuitive and rapid input method for user interfaces, and a cross-ratio based method that calculates the point-of-gaze using homography matrices has attracted attention because it does not require hardware calibration to determine the geometric relationship between an eye camera and a screen. However, this method requires near-infrared (NIR) light-emitting diodes (LEDs) attached to the display in order to detect screen corners. Consequently, LEDs must be installed around the display to estimate the point-of-gaze. Without these requirements, cross-ratio based gaze estimation can be distributed smoothly. Therefore, we propose the use of a polarization camera for detecting the screen area reflected on a corneal surface. The reflection area of display light is easily detected by the polarized image because the light radiated from the display is polarized linearly by the internal polarization filter. With the proposed method, the screen corners can be determined without using NIR LEDs, and the point-of-gaze can be estimated using the detected corners on the corneal surface. We investigated the accuracy of the estimated point-of-gaze based on a cross-ratio method under various illumination and display conditions. Cross-ratio based gaze estimation is expected to be utilized widely in commercial products because the proposed method does not require infrared light sources at display corners.","PeriodicalId":161901,"journal":{"name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124500759","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: 7

iLid

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3322503

Soha Rostaminia, A. Mayberry, Deepak Ganesan, Benjamin M Marlin, Jeremy Gummeson

引用次数: 4

A gaze model improves autonomous driving 凝视模型改善了自动驾驶

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3319846

Congcong Liu, Y. Chen, L. Tai, Haoyang Ye, Ming Liu, Bertram E. Shi

引用次数: 23

Quantitative visual attention prediction on webpage images using multiclass SVM 基于多类支持向量机的网页图像视觉注意力定量预测

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3317960.3321614

Sandeep Vidyapu, Vijaya Saradhi Vedula, S. Bhattacharya

引用次数: 9