Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications最新文献_第8页

Hand- and gaze-control of telepresence robots 远程呈现机器人的手和目光控制

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3317956.3318149

Guangtao Zhang, J. P. Hansen, Katsumi Minakata

引用次数: 22

POITrack

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3321491

F. Göbel, P. Kiefer

引用次数: 0

Iris 虹膜

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3318228

Sarah D'Angelo, Jeff Brewer, D. Gergle

引用次数: 0

Pointing by gaze, head, and foot in a head-mounted display 在头戴式显示器中通过凝视，头部和脚指向

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3317956.3318150

Katsumi Minakata, J. P. Hansen, I. Mackenzie, Per Baekgaard, Vijay Rajanna

引用次数: 28

Semantic gaze labeling for human-robot shared manipulation 人机共享操作的语义注视标记

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3319840

Reuben M. Aronson, H. Admoni

{"title":"Semantic gaze labeling for human-robot shared manipulation","authors":"Reuben M. Aronson, H. Admoni","doi":"10.1145/3314111.3319840","DOIUrl":"https://doi.org/10.1145/3314111.3319840","url":null,"abstract":"Human-robot collaboration systems benefit from recognizing people's intentions. This capability is especially useful for collaborative manipulation applications, in which users operate robot arms to manipulate objects. For collaborative manipulation, systems can determine users' intentions by tracking eye gaze and identifying gaze fixations on particular objects in the scene (i.e., semantic gaze labeling). Translating 2D fixation locations (from eye trackers) into 3D fixation locations (in the real world) is a technical challenge. One approach is to assign each fixation to the object closest to it. However, calibration drift, head motion, and the extra dimension required for real-world interactions make this position matching approach inaccurate. In this work, we introduce velocity features that compare the relative motion between subsequent gaze fixations and a finite set of known points and assign fixation position to one of those known points. We validate our approach on synthetic data to demonstrate that classifying using velocity features is more robust than a position matching approach. In addition, we show that a classifier using velocity features improves semantic labeling on a real-world dataset of human-robot assistive manipulation interactions.","PeriodicalId":161901,"journal":{"name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications","volume":"63 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":"126279801","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

Aiming for the quiet eye in biathlon 目标是在冬季两项比赛中保持安静

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3319850

D. Hansen, Amelie Heinrich, R. Cañal-Bruland

引用次数: 2

Motion tracking of iris features for eye tracking 运动追踪的虹膜特征用于眼动追踪

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3322872

A. Chaudhary

引用次数: 3

Using developer eye movements to externalize the mental model used in code summarization tasks 使用开发人员的眼球运动来具体化代码总结任务中使用的心智模型

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3319834

Nahla J. Abid, Jonathan I. Maletic, Bonita Sharif

{"title":"Using developer eye movements to externalize the mental model used in code summarization tasks","authors":"Nahla J. Abid, Jonathan I. Maletic, Bonita Sharif","doi":"10.1145/3314111.3319834","DOIUrl":"https://doi.org/10.1145/3314111.3319834","url":null,"abstract":"Eye movements of developers are used to speculate the mental cognition model (i.e., bottom-up or top-down) applied during program comprehension tasks. The cognition models examine how programmers understand source code by describing the temporary information structures in the programmer's short term memory. The two types of models that we are interested in are top-down and bottom-up. The top-down model is normally applied as-needed (i.e., the domain of the system is familiar). The bottom-up model is typically applied when a developer is not familiar with the domain or the source code. An eye-tracking study of 18 developers reading and summarizing Java methods is used as our dataset for analyzing the mental cognition model. The developers provide a written summary for methods assigned to them. In total, 63 methods are used from five different systems. The results indicate that on average, experts and novices read the methods more closely (using the bottom-up mental model) than bouncing around (using top-down). However, on average novices spend longer gaze time performing bottom-up (66s.) compared to experts (43s.)","PeriodicalId":161901,"journal":{"name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications","volume":"192 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":"121073001","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: 21

Assessing surgeons' skill level in laparoscopic cholecystectomy using eye metrics 用眼指标评估腹腔镜胆囊切除术外科医生的技术水平

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3319832

N. Gunawardena, Michael Matscheko, B. Anzengruber, A. Ferscha, Martin Schobesberger, A. Shamiyeh, B. Klugsberger, P. Solleder

{"title":"Assessing surgeons' skill level in laparoscopic cholecystectomy using eye metrics","authors":"N. Gunawardena, Michael Matscheko, B. Anzengruber, A. Ferscha, Martin Schobesberger, A. Shamiyeh, B. Klugsberger, P. Solleder","doi":"10.1145/3314111.3319832","DOIUrl":"https://doi.org/10.1145/3314111.3319832","url":null,"abstract":"Laparoscopic surgery has revolutionised state of the art in surgical health care. However, its complexity puts a significant burden on the surgeon's cognitive resources resulting in major biliary injuries. With the increasing number of laparoscopic surgeries, it is crucial to identify surgeons' cognitive loads (CL) and levels of focus in real time to give them unobtrusive feedback when detecting the suboptimal level of attention. Assuming that the experts appear to be more focused on attention, we investigate how the skill level of surgeons during live surgery is reflected through eye metrics. Forty-two laparoscopic surgeries have been conducted with four surgeons who have different expertise levels. Concerning eye metrics, we have used six metrics which belong to fixation and pupillary based metrics. With the use of mean, standard deviation and ANOVA test we have proven three reliable metrics which we can use to differentiate the skill level during live surgeries. In future studies, these three metrics will be used to classify the surgeons' cognitive load and level of focus during the live surgery using machine learning techniques.","PeriodicalId":161901,"journal":{"name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications","volume":"114 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":"117282565","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: 12

Improving real-time CNN-based pupil detection through domain-specific data augmentation 通过特定领域数据增强改进基于cnn的实时瞳孔检测

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications Pub Date : 2019-06-25 DOI: 10.1145/3314111.3319914

Shaharam Eivazi, Thiago Santini, Alireza Keshavarzi, Thomas C. Kübler, Andrea Mazzei

{"title":"Improving real-time CNN-based pupil detection through domain-specific data augmentation","authors":"Shaharam Eivazi, Thiago Santini, Alireza Keshavarzi, Thomas C. Kübler, Andrea Mazzei","doi":"10.1145/3314111.3319914","DOIUrl":"https://doi.org/10.1145/3314111.3319914","url":null,"abstract":"Deep learning is a promising technique for real-world pupil detection. However, the small amount of available accurately-annotated data poses a challenge when training such networks. Here, we utilize non-challenging eye videos where algorithmic approaches perform virtually without errors to automatically generate a foundational data set containing subpixel pupil annotations. Then, we propose multiple domain-specific data augmentation methods to create unique training sets containing controlled distributions of pupil-detection challenges. The feasibility, convenience, and advantage of this approach is demonstrated by training a CNN with these datasets. The resulting network outperformed current methods in multiple publicly-available, realistic, and challenging datasets, despite being trained solely with the augmented eye images. This network also exhibited better generalization w.r.t. the latest state-of-the-art CNN: Whereas on datasets similar to training data, the nets displayed similar performance, on datasets unseen to both networks, ours outperformed the state-of-the-art by ≈27% in terms of detection rate.","PeriodicalId":161901,"journal":{"name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications","volume":"30 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":"124115474","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: 29