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Photo collections and its applications today attempt to reflect user interactions in various forms. Moreover, photo collections aim to capture the users' intention with minimum effort through applications capturing user intentions. Human…

Computer Vision and Pattern Recognition · Computer Science 2016-01-13 Jinsoo Choi , Tae-Hyun Oh , In So Kweon

The visual analysis of graphs in 3D has become increasingly popular, accelerated by the rise of immersive technology, such as augmented and virtual reality. Unlike 2D drawings, 3D graph layouts are highly viewpoint-dependent, making…

Human-Computer Interaction · Computer Science 2025-11-10 Lucas Joos , Gavin J. Mooney , Maximilian T. Fischer , Daniel A. Keim , Falk Schreiber , Helen C. Purchase , Karsten Klein

This paper proposes a visual analytics framework that addresses the complex user interactions required through a command-line interface to run analyses in distributed data analysis systems. The visual analytics framework facilitates the…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-12 Abdullah-Al-Raihan Nayeem , Mohammed Elshambakey , Todd Dobbs , Huikyo Lee , Daniel Crichton , Yimin Zhu , Chanachok Chokwitthaya , William J. Tolone , Isaac Cho

In the field of information visualisation, Euler diagrams are an important tool used in various application areas such as engineering, medicine and social analysis. To effectively use Euler diagrams, some of the wellformedness properties…

Human-Computer Interaction · Computer Science 2016-11-22 Mithileysh Sathiyanarayanan , Tobias Mulling

Eye-tracking technology is being increasingly integrated into mixed reality devices. Although critical applications are being enabled, there are significant possibilities for violating user privacy expectations. We show that there is an…

Human-Computer Interaction · Computer Science 2021-03-23 Brendan David-John , Diane Hosfelt , Kevin Butler , Eakta Jain

Neural disorders refer to any condition affecting the nervous system and that influence how individuals perceive and interact with the world. Traditional neural diagnoses rely on cumbersome, time-consuming, or subjective methods, such as…

Human-Computer Interaction · Computer Science 2025-06-11 Mayar Elfares , Salma Younis , Pascal Reisert , Ralf Küsters , Tobias Renner , Andreas Bulling

While exploring visual scenes, humans' scanpaths are driven by their underlying attention processes. Understanding visual scanpaths is essential for various applications. Traditional scanpath models predict the where and when of gaze shifts…

Computer Vision and Pattern Recognition · Computer Science 2024-08-07 Xianyu Chen , Ming Jiang , Qi Zhao

Routine inspections for critical infrastructures such as bridges are required in most jurisdictions worldwide. Such routine inspections are largely visual in nature, which are qualitative, subjective, and not repeatable. Although robotic…

Robotics · Computer Science 2024-08-12 Sunwoong Choi , Zaid Abbas Al-Sabbag , Sriram Narasimhan , Chul Min Yeum

Visual object tracking is a significant computer vision task which can be applied to many domains such as visual surveillance, human computer interaction, and video compression. In the literature, researchers have proposed a variety of 2D…

Computer Vision and Pattern Recognition · Computer Science 2013-03-21 Xi Li , Weiming Hu , Chunhua Shen , Zhongfei Zhang , Anthony Dick , Anton van den Hengel

Gaze following aims to interpret human-scene interactions by predicting the person's focal point of gaze. Prevailing approaches often adopt a two-stage framework, whereby multi-modality information is extracted in the initial stage for gaze…

Computer Vision and Pattern Recognition · Computer Science 2024-11-15 Yuehao Song , Xinggang Wang , Jingfeng Yao , Wenyu Liu , Jinglin Zhang , Xiangmin Xu

We introduce EyeTheia, a lightweight and open deep learning pipeline for webcam-based gaze estimation, designed for browser-based experimental platforms and real-world cognitive and clinical research. EyeTheia enables real-time gaze…

Computer Vision and Pattern Recognition · Computer Science 2026-01-13 Stevenson Pather , Niels Martignène , Arnaud Bugnet , Fouad Boutaleb , Fabien D'Hondt , Deise Santana Maia

This study investigates how cinematographic techniques influence viewer perception and contribute to the objectification of women, utilizing eye-tracking data from 91 participants. They watched a sexualized music video (SV) known for…

Human-Computer Interaction · Computer Science 2025-04-15 Parth Maradia , Ayushi Agarwal , Srija Bhupathiraju , Kavita Vemuri

Successful learning depends on learners' ability to sustain attention, which is particularly challenging in online education due to limited teacher interaction. A potential indicator for attention is gaze synchrony, demonstrating predictive…

Human-Computer Interaction · Computer Science 2024-04-02 Babette Bühler , Efe Bozkir , Hannah Deininger , Peter Gerjets , Ulrich Trautwein , Enkelejda Kasneci

This paper addresses the challenging problem of estimating the general visual attention of people in images. Our proposed method is designed to work across multiple naturalistic social scenarios and provides a full picture of the subject's…

Computer Vision and Pattern Recognition · Computer Science 2018-07-30 Eunji Chong , Nataniel Ruiz , Yongxin Wang , Yun Zhang , Agata Rozga , James Rehg

This study focuses on the problem of user satisfaction classification and proposes a framework based on graph neural networks to address the limitations of traditional methods in handling complex interaction relationships and…

Human-Computer Interaction · Computer Science 2025-11-07 Rui Liu , Runsheng Zhang , Shixiao Wang

Quantification of human attention is key to several tasks in mobile human-computer interaction (HCI), such as predicting user interruptibility, estimating noticeability of user interface content, or measuring user engagement. Previous works…

Human-Computer Interaction · Computer Science 2019-07-26 Mihai Bâce , Sander Staal , Andreas Bulling

We present an algorithmic and visual grouping of participants and eye-tracking metrics derived from recorded eye-tracking data. Our method utilizes two well-established visualization concepts. First, parallel coordinates are used to provide…

Human-Computer Interaction · Computer Science 2020-07-24 Ayush Kumar , Rudolf Netzel , Michael Burch , Daniel Weiskopf , Klaus Mueller

Joint attention is a core, early-developing form of social interaction. It is based on our ability to discriminate the third party objects that other people are looking at. While it has been shown that people can accurately determine…

Artificial Intelligence · Computer Science 2014-12-09 Tao Gao , Daniel Harari , Joshua Tenenbaum , Shimon Ullman

Gaze is a valuable means of communication for impaired people with extremely limited motor capabilities. However, robust gaze-based intent recognition in multi-object environments is challenging due to gaze noise, micro-saccades, viewpoint…

Robotics · Computer Science 2026-03-09 Yuzhi Lai , Shenghai Yuan , Peizheng Li , Andreas Zell

Gaze tracking is a useful human-to-computer interface, which plays an increasingly important role in a range of mobile applications. Gaze calibration is an indispensable component of gaze tracking, which transforms the eye coordinates to…

Human-Computer Interaction · Computer Science 2022-10-03 Songzhou Yang , Meng Jin , Yuan He
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