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Visual Analytics of Work Behavior Data - Insights on Individual Differences [article]

Saskia Koldijk, Jürgen Bernard, Tobias Ruppert, Jörn Kohlhammer, Mark Neerincx, Wessel Kraaij
2015 Eurographics Conference on Visualization  
Our most important insight is that people differ a lot in their (stress related) work behavior, which has to be taken into account in the analyses and visualizations.  ...  In this paper, we describe how we applied visual analytics to a work behavior dataset, containing information on facial expressions, postures, computer interactions, physiology and subjective experience  ...  In this paper we describe how we applied visual analytics to a work behavior dataset. We alternated between data analysis to find structures in the data and visualizations to gain insights.  ... 
doi:10.2312/eurovisshort.20151129 dblp:conf/vissym/KoldijkBRKNK15 fatcat:pstasmrdffg2hp7cypjtqrx5hy

Characterizing Users' Visual Analytic Activity for Insight Provenance

David Gotz, Michelle X. Zhou
2009 Information Visualization  
We present a catalog of common actions identified through observations of several different visual analytic systems.  ...  Moreover, we identify a critical level of abstraction, Actions, that can be used to represent visual analytic activity with a set of general but semantically meaningful behavior types.  ...  We identified a set of common actions based on a review of several different visual analytic systems.  ... 
doi:10.1057/ivs.2008.31 fatcat:oxcjx67shbftnhqmssb3hbzdhe

Using visual analytics to provide situation awareness for movement and communication data

Juri Buchmuller, Fabian Fischer, Dirk Streeb, Daniel A. Keim
2015 2015 IEEE Conference on Visual Analytics Science and Technology (VAST)  
Analyzing and correlating movement and communication data is challenging. To gather insights and gain knowledge out of such datasets, we propose a visual analytics system.  ...  We apply automated clustering techniques and propose a combination of various visualizations to provide overviews.  ...  ACKNOWLEDGEMENTS We would like to thank the additional students who were working hard and motivated on individual contributions for the specific mini challenges, namely Carmela Acevedo, Eren Cakmak, Alexander  ... 
doi:10.1109/vast.2015.7347640 dblp:conf/ieeevast/BuchmullerFSK15 fatcat:kwhjmuo755benm6v75wecfh3gu

HARVEST

David Gotz, Zhen When, Jie Lu, Peter Kissa, Nan Cao, Wei Hong Qian, Shi Xia Liu, Michelle X. Zhou
2010 Proceedings of the first international workshop on Intelligent visual interfaces for text analysis - IVITA '10  
It combines three key technologies to support a complex, exploratory visual analytic process for non-experts: (1) a set of smart visual analytic widgets, (2) a visualization recommendation engine, and  ...  We present an intelligent visual analytic system called HARVEST.  ...  One of HARVEST's key goals is to capture the semantics of insight provenance, which can be used to help share and re-purpose a user's visual analytic processes.  ... 
doi:10.1145/2002353.2002355 fatcat:dxqwuudxonax5chxgge7rthbiq

Moving beyond sequential design: Reflections on a rich multi-channel approach to data visualization

Jo Wood, Roger Beecham, Jason Dykes
2014 IEEE Transactions on Visualization and Computer Graphics  
Using chauffeured interaction with a flexible visual analytics system we demonstrate how insight was gained by policy makers into gendered spatio-temporal cycle behaviors, how this led to further insight  ...  In each case, we identify the different design decisions that were required to support each of these channels and the role played by the visualization process.  ...  We would also like to thank Hilary Young and the Museum of London for supporting the work.  ... 
doi:10.1109/tvcg.2014.2346323 pmid:26356931 fatcat:2soihbijmfh7ffglw6ke4hx32y

Modeling and evaluating user behavior in exploratory visual analysis

Khairi Reda, Andrew E. Johnson, Michael E. Papka, Jason Leigh
2016 Information Visualization  
Empirical evaluation methods for visualizations have traditionally focused on assessing the outcome of the visual analytic process as opposed to characterizing how that process unfolds.  ...  This paper presents a methodology for modeling and evaluating the behavior of users in exploratory visual analysis.  ...  This article originally appeared as part of the 5th BE-LIV workshop on novel evaluation methods for visualizations.  ... 
doi:10.1177/1473871616638546 fatcat:u47a3oqe6rgovkofxsz4hyz2i4

Evaluation of Cyber Defense Exercises Using Visual Analytics Process

Radek Oslejsek, Jan Vykopal, Karolina Burska, Vit Rusnak
2018 2018 IEEE Frontiers in Education Conference (FIE)  
In this paper, we present an application of a well-structured visual analytics process to the organization of cyber exercises.  ...  We illustrate that the classification derived from the adoption of the visual analytics process helps to clarify and formalize analytical tasks of educators and enables their systematic support in cyber  ...  Access to the CERIT-SC computing and storage facilities provided under the programme Center CERIT Scientific Cloud, part of the Operational Program Research and Development for Innovations, reg. no.  ... 
doi:10.1109/fie.2018.8659299 dblp:conf/fie/OslejsekVBR18 fatcat:epgoyzfxgfe4veyogrwbgqe5ny

Conceptual Model of Visual Analytics for Hands-on Cybersecurity Training

Radek Oslejsek, Vit Rusnak, Karolina Burska, Valdemar Svabensky, Jan Vykopal, Jakub Cegan
2020 IEEE Transactions on Visualization and Computer Graphics  
In this paper, we discuss the application of visual analytics principles to the design, execution, and evaluation of training sessions.  ...  We propose a conceptual model employing visual analytics that supports the sensemaking activities of users involved in various phases of the training life cycle.  ...  The top-level categories of Visual Situational Awareness and Visual Data Analytics in Fig. 4 represent distinct concepts using different data in different phases of the life cycle.  ... 
doi:10.1109/tvcg.2020.2977336 pmid:32142443 fatcat:xjh4s4tsszcere62v2cc5u35ja

Geo-social visual analytics

Wei Luo, Alan M MacEachren
2014 Journal of Spatial Information Science  
interaction or their impact on outcomes of interest, such as population health behaviors, information dissemination, or human behavior in a crisis.  ...  At the methodological level, the integration of geography and social network contexts are framed within a new interdisciplinary field: visual analytics, in which three major application-oriented subfields  ...  Acknowledgements This material is based, in part, upon work supported by the U.S. Department of Homeland Security under Award #: 2009-ST-061-CI0001.  ... 
doi:10.5311/josis.2014.8.139 fatcat:ialbfelabzcqjjlxv7krefowru

Audience monitor

Ivan Elhart, Mateusz Mikusz, Cristian Gomez Mora, Marc Langheinrich, Nigel Davies
2017 Proceedings of the 6th ACM International Symposium on Pervasive Displays - PerDis '17  
Understanding an audience's behavior is an important aspect of evaluating display installations.  ...  We believe that our approach can help display researchers evaluate their public display deployments and improve the level of quantitative data underpinning our field.  ...  We are thus currently working on integrating the touch interaction data with the audience monitoring tool and visualizing aggregated information using web analytics and Pheme [17] , which we will describe  ... 
doi:10.1145/3078810.3078823 dblp:conf/perdis/ElhartMMLD17 fatcat:ffjyhiddlfg4tplo3f3j7ubvjy

Behavior analysis through collaborative visual exploration on trajectory data

Tangzhi Ye, Youfeng Hao, Zhenhuang Wang, Chufan Lai, Siming Chen, Zongru Li, Jie Liang, Xiaoru Yuan
2015 2015 IEEE Conference on Visual Analytics Science and Technology (VAST)  
overall picture of their insights.  ...  In VAST Challenge 2015, we proposed a collaborative visual exploration system for behavior analysis over trajectory records.  ...  This work is also supported by PKU-Qihoo Joint Data Visual Analytics Research Center.  ... 
doi:10.1109/vast.2015.7347645 dblp:conf/ieeevast/YeHWLCLLY15 fatcat:yxyg7m3wavbytl6csmoefbucpe

The Personal Equation of Complex Individual Cognition during Visual Interface Interaction [chapter]

Tera Marie Green, Brian Fisher
2011 Lecture Notes in Computer Science  
Further, this chapter explores the impact of individual differences, and in particular, inherent differences such as personality factors, on complex cognition.  ...  research in the behavioral sciences, and finds that there are no operational models or useful precedent to effectively guide the design of visually enabled interfaces.  ...  Human behavioral research has demonstrated the impact of individual differences on learning and analysis in traditional environments.  ... 
doi:10.1007/978-3-642-19641-6_4 fatcat:v25g7lo3t5bivmhg2eb53nvkee

Creating Unified Design Thinking Through Experience Mapping

Han Han, Adisorn Supawatanakul
2020 Zenodo  
While ethnography has become a powerful observational and data collection tool, designers and researchers often find it challenging to transform instances into behavioral patterns and analytical frameworks  ...  unified front among team members in their understanding of human behaviors and design aspirations.  ...  Below, we discuss the best use of a visual-behavioral analytical framework -experience mapping -to enhance creative design thinking through shared intelligence and collaboration.  ... 
doi:10.5281/zenodo.4058930 fatcat:bahplpzl4jdg5ik5cgesxbtigm

Survey on Visual Analysis of Event Sequence Data [article]

Yi Guo, Shunan Guo, Zhuochen Jin, Smiti Kaul, David Gotz, Nan Cao
2020 arXiv   pre-print
In this paper, we review the state-of-the-art visual analytics approaches, characterize them with our proposed design space, and categorize them based on analytical tasks and applications.  ...  This high complexity of event sequence data makes it difficult for analysts to manually explore and find patterns, resulting in ever-increasing needs for computational and perceptual aids from visual analytics  ...  [99] generalized visual analytics techniques by different data types, among which the review of visual analytics approaches for temporal data is most relevant to our work.  ... 
arXiv:2006.14291v1 fatcat:zmlsmiabzbec5cbtoltk3yc3oe

Audio and Visual Analytics in Marketing and Artificial Empathy

Shasha Lu, Hye-Jin Kim, Yinghui Zhou, Li Xiao, Min Ding
2022 Foundations and Trends® in Marketing  
As a result, businesses are missing out on the opportunities to use this information to gain better customer insights, understand customer preference, improve customer experience, discover unmet needs  ...  With the ever-cheaper digital equipment and the prevalent digital platforms such as Facebook and YouTube, more and more human behaviors and activities are digitalized in the form of images, videos, and  ...  This monograph aims to address these questions by (1) developing a framework for understanding the internal states of individuals based on audio/visual signals and incorporating works in the domain of  ... 
doi:10.1561/1700000067 fatcat:xi5bf2zsnnfd3lxqlkj62wxgaa
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