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Harnessing Quantitative Eye Tracking Data to Create Art: Interdisciplinary Collaboration and Data Visualization

Christian Riegel, Katherine M. Robinson, Ashley Herman
2017 Body, Space & Technology Journal  
Eye tracking technology permits volumes and types of data that were hitherto unimaginable in cognitive science-based methodologies, and the software tools of an eye tracker such as ours allow for interesting  ...  How can eye-tracking data serve both objectively-based aims and artistic ones?  ...  1 The work of our lab is supported by research grants from the Canadian Foundation for Innovation (CFI), the Social Sciences and Humanities Research Council of Canada (SSHRC), and the University of Regina  ... 
doi:10.16995/bst.5 fatcat:i23be47om5hanmnjzlgu5tlnni

Eye tracking support for visual analytics systems

Nelson Silva, Tanja Blascheck, Radu Jianu, Nils Rodrigues, Daniel Weiskopf, Martin Raubal, Tobias Schreck
2019 Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications - ETRA '19  
Visual analytics (VA) research provides helpful solutions for interactive visual data analysis when exploring large and complex datasets.  ...  In a call for action, we map the road for future research to broaden the use of eye tracking and advance visual analytics.  ...  ACKNOWLEDGMENTS We thank Gennady Andrienko, for providing the V-Analytics image, and all authors of Situated Analytics, FiberClay and Mobile Law Enforcement systems for kindly providing their own images  ... 
doi:10.1145/3314111.3319919 dblp:conf/etra/SilvaBJRWRS19 fatcat:vpwrpqgr4rf2ngsax22ctbbeh4

Image-Based Information Visualization Tutorial [article]

Christophe Hurter
2018 Eurographics State of the Art Reports  
These algorithms, processed in parallel by the graphic card, are fast and scalable enough to support interactive big data exploration requirements.  ...  This tutorial will report actual use-cases where the user interactively explores datasets and extracts relevant information.  ...  This is particularly important for movement data, such as traffic data on roads or in airspace, because of their intrinsic time-dependent nature.  ... 
doi:10.2312/egt.20181026 fatcat:vvg5ygnpqnb7djj3fkfy6bwyi4

Ubiquitous Gaze Sensing and Interaction (Dagstuhl Seminar 18252)

Lewis Chuang, Andrew Duchowski, Pernilla Qvarfordt, Daniel Weiskopf, Michael Wagner
2019 Dagstuhl Reports  
Therefore, this Dagstuhl Seminar brought together experts in computer graphics, signal processing, visualization, human-computer interaction, data analytics, pattern analysis and classification along with  ...  This fostered a dialog and allowed: (1) computing scientists to understand the problems that are faced in recording and interpreting gaze data; (2) gaze researchers to consider how modern computing techniques  ...  This requires (near) real-time gaze modeling, which constitutes one of the big data challenges for eye movement analytics [2] .  ... 
doi:10.4230/dagrep.8.6.77 dblp:journals/dagstuhl-reports/ChuangDQW18 fatcat:7nfkzimerrb3hpcb25bwy7sf5e

Big Data and Data Science: Opportunities and Challenges of iSchools

Il-Yeol Song, Yongjun Zhu
2017 Journal of Data and Information Science  
With many rapidly emerging digital challenges ahead of us, this article discusses perspectives on iSchools' opportunities and suggestions in data science education.  ...  This framework will help our students think about data science problems from the big picture perspective and foster appropriate problem-solving skills in conjunction with broad perspectives of data science  ...  , and big data analytics.  ... 
doi:10.1515/jdis-2017-0011 fatcat:ueoytujc5vgwphbm3q7e34ehoq

Major Big Data Challenges in Most Industries and Innovative Solutions

Because of the massive growth of data and its different formats, organizations are having multiple challenges in capturing, storing, mining, analyzing, and visualizing the Big data.  ...  The term "Big data" refers to "the high volume of data sets that are relatively complex in nature and having challenges in processing and analyzing the data using conventional database management tools  ...  Handling the data movement and analytics tasks, in Database itself will improve the speed (or) rapidity in mining the insights.  ... 
doi:10.35940/ijitee.b1143.1292s219 fatcat:v563ukqnbne4jamitibzwgqwka

Visualizing Big Data with augmented and virtual reality: challenges and research agenda

Ekaterina Olshannikova, Aleksandr Ometov, Yevgeni Koucheryavy, Thomas Olsson
2015 Journal of Big Data  
Also it indicates the main challenges and issues in Big Data analysis.  ...  Additionally, there exists a research area focusing on the human eye movement patterns during the perception of scenes and objects.  ...  EK introduced this topic to other authors and coordinate the work process to complete the manuscript. EO, AO and TO worked together to develop the article's framework and focus.  ... 
doi:10.1186/s40537-015-0031-2 fatcat:nbpeobicbjfrxdyei3dtbc63bu

Vis4Vis: Visualization for (Empirical) Visualization Research [article]

Daniel Weiskopf
2019 arXiv   pre-print
This challenge can be addressed by establishing the subfield of visualization for visualization (Vis4Vis): visualization as a means of analyzing and communicating data from empirical studies to advance  ...  However, with the growing availability of large, complex, time-dependent, heterogeneous, and unstructured observational data, we are facing the new challenge of how we can analyze such data.  ...  Special thanks to Kuno Kurzhals for the many discussions on eye tracking and visualization. The screenshot in Figure 2 was taken from his ISeeCube implementation [51] .  ... 
arXiv:1908.00611v1 fatcat:trkiivbmcrhlfg5lv32csjbpn4

SportsXR – Immersive Analytics in Sports [article]

Tica Lin, Yalong Yang, Johanna Beyer, Hanspeter Pfister
2020 arXiv   pre-print
In this paper, we identify key challenges in SportsXR, including data collection, in-game decision making, situated sport-specific visualization design, and collaborating with domain experts.  ...  We present our initial investigation of key challenges and potentials of immersive analytics (IA) in sports, which we call SportsXR.  ...  This research is supported in part by King Abdullah University of Science and Technology (KAUST) and the KAUST Office of Sponsored Research (OSR) award OSR-2015-CCF-2533-01.  ... 
arXiv:2004.08010v1 fatcat:sna3nf5jvrajzpelzc473yp234

Big Data Landscapes in Virtual Reality using Glyph-Based Visualizations

Rainer Groh, Tobias Günther, Thomas Gründer
2018 International Working Conference on Advanced Visual Interfaces  
In this work, we present the meaning of metaphor-driven design, the essence of the concept "landscape" and discuss ways to interact with such a data environment.  ...  In this position paper, we create an outlook over the landscape metaphor as a tool help in data analyst tasks.  ...  In today's world of Big Data and the challenges it poses, visual analysis and visual data mining in complex 3D visualizations of multidimensional data is one field where metaphors are helpful.  ... 
dblp:conf/avi/GrohGG18 fatcat:hkvedb43dnejffaq3ikmphwl4a

Big Data and Strategy: Theoretical Foundations and New Opportunities [chapter]

Mattew J. Mazzei, David Noble
2019 Strategy and Behaviors in the Digital Economy [Working Title]  
Reaching far beyond information technology's traditional role in business strategy, the implications of this big data phenomenon are considered through an exploration into what big data is, how it is currently  ...  As different organizational approaches have developed toward big data, we use resource-based theory and organizational learning as anchoring perspectives to link this phenomenon with traditional strategic  ...  Interpretation is simplified through data visualization tools common in firms with a mature understanding and application of big data analytics.  ... 
doi:10.5772/intechopen.84819 fatcat:sfwfh6dkinbp5c6d6gd3jnkc54

Identifying Similar Eye Movement Patterns with t-SNE

Michael Burch
2018 International Symposium on Vision, Modeling, and Visualization  
The lower-dimensional data is then represented as scatterplots reflecting the local structure of the high-dimensional eye movement data and hence, providing a strategy to identify similar eye movement  ...  In this paper we describe an approach based on the t-distributed stochastic neighbor embedding (t-SNE) focusing on projecting high-dimensional eye movement data to two dimensions.  ...  In the following subsections we demonstrate insights from concrete eye movement data examples and how particular configurations and parameters can be applied to manipulate the visual output and perspectives  ... 
doi:10.2312/vmv.20181260 dblp:conf/vmv/Burch18 fatcat:xrt2ftonuraqflxlnx26ftl7gq

Facilitating Multiple Intelligences Through Multimodal Learning Analytics

2018 The Turkish Online Journal of Distance Education  
This is how learning analytics can help design an adaptive instructional design based on a quick analysis of the data gathered.  ...  Her educational interests include adapting established educational theories for open and distance learning or creating new ones in view of the existing challenges.  ...  head sensors, eye movement to be captured through eye sensors Kinesthetic body movements visual analytics of postures & gestures movements / may need a class coverage/writing through digital  ... 
doi:10.17718/tojde.382655 fatcat:sctr7om4p5enhezdvuj2d7xhiu

Big data, bigger dilemmas: A critical review

Hamid Ekbia, Michael Mattioli, Inna Kouper, G. Arave, Ali Ghazinejad, Timothy Bowman, Venkata Ratandeep Suri, Andrew Tsou, Scott Weingart, Cassidy R. Sugimoto
2014 Journal of the Association for Information Science and Technology  
By contextualizing the phenomenon of Big Data within larger socio-economic developments, we also seek to provide a broader understanding of its drivers, barriers, and challenges.  ...  The recent interest in Big Data has generated a broad range of new academic, corporate, and policy practices along with an evolving debate amongst its proponents, detractors, and skeptics.  ...  eye-catching visualization techniques.  ... 
doi:10.1002/asi.23294 fatcat:rjpdmywn35g2razmclw5pd3lja

Fly with the flock: immersive solutions for animal movement visualization and analytics

Karsten Klein, Björn Sommer, Hieu T. Nim, Andrea Flack, Kamran Safi, Máté Nagy, Stefan P. Feyer, Ying Zhang, Kim Rehberg, Alexej Gluschkow, Michael Quetting, Wolfgang Fiedler (+2 others)
2019 Journal of the Royal Society Interface  
We investigate the requirements and benefits of a wide range of immersive environments for explorative visualization and analytics of 3D movement data, in particular regarding design considerations for  ...  Tailored to biologists studying bird movement data, the immersive solutions enable geo-locational time-series data to be investigated interactively, thus enabling experts to visually explore interesting  ...  We thank the participants in the bird trajectory visualization studies for helpful suggestions and feedback. Endnote  ... 
doi:10.1098/rsif.2018.0794 pmid:30940026 pmcid:PMC6505562 fatcat:7dieshmrtndljb6axobzphvwae
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