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Further Results on Predicting Cognitive Abilities for Adaptive Visualizations

Cristina Conati, Sébastien Lallé, Md. Abed Rahman, Dereck Toker
2017 Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence  
Previous work has shown that some user cognitive abilities relevant for processing information visualizations can be predicted from eye tracking data.  ...  In this paper, we contribute to previous work by extending the type of visualizations considered and the set of cognitive abilities that can be predicted from gaze data, thus providing evidence on the  ...  In this paper, we investigate whether previous results on predicting cognitive abilities in real-time with eye tracking data can be reproduced on data collected with MQ, both for some abilities already  ... 
doi:10.24963/ijcai.2017/217 dblp:conf/ijcai/ConatiLRT17 fatcat:xela6ma43fdubei6gasqoc5wli

Towards facilitating user skill acquisition

Dereck Toker, Ben Steichen, Matthew Gingerich, Cristina Conati, Giuseppe Carenini
2014 Proceedings of the 19th international conference on Intelligent User Interfaces - IUI '14  
A key challenge for information visualization designers lies in developing systems that best support users in terms of their individual abilities, needs, and preferences.  ...  We present prediction models, trained on users' gaze data, that can identify if users are still in the skill acquisition phase or if they have gained the necessary abilities.  ...  Eye-tracking in User Modeling for Adaptive Systems Several studies have examined the value of using eye tracking data as an input source for real-time modeling of relevant user characteristics.  ... 
doi:10.1145/2557500.2557524 dblp:conf/iui/TokerSGCC14 fatcat:3s6gsisiuzd2pjfabhqoytvrpi

User-adaptive information visualization

Ben Steichen, Giuseppe Carenini, Cristina Conati
2013 Proceedings of the 2013 international conference on Intelligent user interfaces - IUI '13  
In particular, we discuss results on using information on user eye gaze patterns while interacting with a given visualization to predict the user's visualization tasks, as well as user cognitive abilities  ...  These findings are discussed in view of designing visualization systems that can adapt to each individual user in real-time.  ...  In terms of actually using raw eye tracking data for real-time prediction, most research has so far focused on identifying cognitive processes while performing nonvisualization activities, for example  ... 
doi:10.1145/2449396.2449439 dblp:conf/iui/SteichenCC13 fatcat:kxf6csmhtva7xakd3ibtawkjcu

Prediction of Users' Learning Curves for Adaptation while Using an Information Visualization

Sébastien Lallé, Dereck Toker, Cristina Conati, Giuseppe Carenini
2015 Proceedings of the 20th International Conference on Intelligent User Interfaces - IUI '15  
In this paper, we investigate the feasibility of predicting in real time a user's learning curve when working with ValueChart, an interactive visualization for decision making.  ...  These results are promising toward the design of user-adaptive visualizations that can dynamically support a user in acquiring the necessary skills to complete visual tasks.  ...  ACKNOWLEDGEMENTS This work was made possible thanks to funding from NSERC through the Grant: STPG381322-09.  ... 
doi:10.1145/2678025.2701376 dblp:conf/iui/LalleTCC15 fatcat:fxq6p6c2vva5bgx6c76jxtd6ee

When Eye-Tracking Meets Cognitive Modeling: Applications to Cyber Security Systems [chapter]

Haiyue Yuan, Shujun Li, Patrice Rusconi, Nouf Aljaffan
2017 Lecture Notes in Computer Science  
We used visual scan paths extracted from an eye-tracking user study to facilitate the design of cognitive modeling tasks.  ...  The comparison between human cognitive models with and without eye-tracking data suggests that eye-tracking data can provide useful information to facilitate the process of human cognitive modeling as  ...  This work was supported by the UK part of a joint Singapore-UK research project "COMMANDO-HUMANS: COMputational Modelling and Automatic Non-intrusive Detection Of HUMan behAviour based iNSecurity", funded  ... 
doi:10.1007/978-3-319-58460-7_17 fatcat:4o5pyc6lgbbe7ppswms52jd6ui

HMD-Based VR Tool for Traffic Psychological Examination: Conceptualization and Design Proposition

Vojtěch Juřík, Václav Linkov, Petr Děcký, Sára Klečková, Edita Chvojková
2021 Applied Sciences  
The combination of wearable head-mounted displays for VR with an interactive and cost-effective haptic driving interface is emphasized as a valid and viable platform for a driving skills psychological  ...  Special focus is dedicated to situation awareness as a crucial, but currently hardly measurable construct, where VR in combination with embedded eye-tracking (ET) technology represents a promising solution  ...  The funders had no role in the design of the paper; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/app11198832 fatcat:rowjqlxg7vb4raefkkq2qbetdi

A review of eye-tracking applications as tools for training

Jonathan L. Rosch, Jennifer J. Vogel-Walcutt
2012 Cognition, Technology & Work  
Substantial literature exists regarding how eyetracking systems can be used to measure cognitive load and how these measurements can be useful for adapting training in real time.  ...  Much of the published literature discusses the applications and limitations of the research and typically provides recommendations for improvement.  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the ONR or the US Government  ... 
doi:10.1007/s10111-012-0234-7 fatcat:42lrfuumrvbfdd63dakjbdmtqu

Cognitive Style and Information Visualization—Modeling Users Through Eye Gaze Data

Ben Steichen, Bo Fu
2020 Frontiers in Computer Science  
In particular, this paper presents a series of experiments that utilize features calculated from user eye gaze data in order to infer a user's cognitive style.  ...  However, traditional information visualization systems have been designed in a manner that does not consider individual user differences, even though human cognitive abilities and styles have been shown  ...  AUTHOR CONTRIBUTIONS All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.  ... 
doi:10.3389/fcomp.2020.562290 fatcat:hvufy45laben3aex2xlwur2fwy

Ubiquitous Gaze Sensing and Interaction (Dagstuhl Seminar 18252)

Lewis Chuang, Andrew Duchowski, Pernilla Qvarfordt, Daniel Weiskopf, Michael Wagner
2019 Dagstuhl Reports  
This report documents the program and outcomes of the three day Dagstuhl Seminar 18252 "Ubiquitous Gaze Sensing and Interaction".  ...  Therefore, this Dagstuhl Seminar brought together experts in computer graphics, signal processing, visualization, human-computer interaction, data analytics, pattern analysis and classification along with  ...  In addition, mapping of gaze data for a pervasive use in real-world and real-time systems requires to map the data to known landscapes, for example, using GPS information in combination with the eye tracking  ... 
doi:10.4230/dagrep.8.6.77 dblp:journals/dagstuhl-reports/ChuangDQW18 fatcat:7nfkzimerrb3hpcb25bwy7sf5e


Novie Susanto
2015 J@ti Undip: Jurnal Teknik Industri  
An analysis using heat map data based on the recorded videos from the eye-tracking system is taken into account to examine and investigate the gaze behavior of human.  ...  This study aims at investigating the human behavior in detail using an eye-tracking system during assembly task using LEGO brick and an actual manufactured product, a carburetor.  ...  The video data recorded by the cams in the head unit are transmitted to the electronic unit in real time. The video data captures the area of interest of the subject during the study.  ... 
doi:10.12777/jati.10.2.63-70 fatcat:4vdzwyxikracnnj5ue5euppryu

Towards Collaborative and Intelligent Learning Environments Based on Eye Tracking Data and Learning Analytics: A Survey

Yuehua Wang, Shulan Lu, Derek Harter
2021 IEEE Access  
This type of real-time prediction of the user level on task-based eye-tracking or other gathered sensor data is obviously a very powerful tool.  ...  PREDICTING COGNITIVE ABILITIES Another useful measure is to try and use eye-tracking data to directly predict the level of cognitive ability, or the expertise level of the student or user of the learning  ... 
doi:10.1109/access.2021.3117780 fatcat:lz6ngjaarrholjiscknw6ch63i

Predicting Spatial Visualization Problems' Difficulty Level from Eye-Tracking Data

Xiang Li, Rabih Younes, Diana Bairaktarova, Qi Guo
2020 Sensors  
In this paper, we build models to predict the difficulty level of spatial visualization problems from eye-tracking data collected from multiple-choice questions.  ...  However, although most e-learning exercises use the form of filling in blanks and choosing questions, in previous works, research focused on building cognitive models from eye-tracking data collected from  ...  Acknowledgments: We thank all the students who participated in our studies and Hsiang-Wen Hsing, from Virginia Tech, for supporting us throughout this work.  ... 
doi:10.3390/s20071949 pmid:32244360 fatcat:2rj5hryv75gj3ns4e5be6oevxy

Measuring Cognitive Load using Eye Tracking Technology in Visual Computing

Johannes Zagermann, Ulrike Pfeil, Harald Reiterer
2016 Proceedings of the Beyond Time and Errors on Novel Evaluation Methods for Visualization - BELIV '16  
Then, we discuss how specific characteristics of human-computer interaction (HCI) interfere with the model and impede the application of eye tracking data to measure cognitive load in visual computing.  ...  In this position paper we encourage the use of eye tracking measurements to investigate users' cognitive load while interacting with a system.  ...  ACKNOWLEDGMENTS We thank the German Research Foundation (DFG) for financial support within project C01 of SFB/Transregio 161.  ... 
doi:10.1145/2993901.2993908 dblp:conf/beliv/ZagermannPR16 fatcat:gtwd6x6rpfbnvflx6yy67nxbfm

A Data Model and Task Space for Data of Interest (DOI) Eye-Tracking Analyses

Radu Jianu, Sayeed Safayet Alam
2018 IEEE Transactions on Visualization and Computer Graphics  
of DOI enabled tasks; by describing three concrete examples of DOI experimentation in three different domains; and by discussing immediate research challenges in creating a framework of visual support  ...  for DOI experimentation and analysis.  ...  We showed that DOI data can reveal to an analyst, even in real-time, details about the tasks users are pursuing in an interactive visualization [2] , [47] .  ... 
doi:10.1109/tvcg.2017.2665498 pmid:28186899 fatcat:fkoiljgfy5c7pfvmt2nrwqesbq

Software Architecture for Automating Cognitive Science Eye-Tracking Data Analysis and Object Annotation

Karen Panetta, Qianwen Wan, Aleksandra Kaszowska, Holly A. Taylor, Sos Agaian
2019 IEEE Transactions on Human-Machine Systems  
GoC has game-changing potential for increasing the ecological validity of using eye-tracking technology in cognitive research.  ...  a user is focusing on and calculates the gaze duration time.  ...  user (as indicated by the eye-tracking data).  ... 
doi:10.1109/thms.2019.2892919 fatcat:ypl3mfpexbervpefpmufo4gnbm
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