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The human is the loop: new directions for visual analytics

Alex Endert, M. Shahriar Hossain, Naren Ramakrishnan, Chris North, Patrick Fiaux, Christopher Andrews
2014 Journal of Intelligent Information Systems  
We argue for a shift from a 'human in the loop' philosophy for visual analytics to a 'human is the loop' viewpoint, where the focus is on recognizing analysts' work processes, and seamlessly fitting analytics  ...  Visual analytics is the science of marrying interactive visualizations and analytic algorithms to support exploratory knowledge discovery in large datasets.  ...  Acknowledgements This work is supported in part by the Institute for Critical Technology and Applied Science, Virginia Tech, and the US National Science Foundation through grant CCF-0937133.  ... 
doi:10.1007/s10844-014-0304-9 fatcat:mnq2g4zq6ve77cmuyq42mgb7zm

Information retrieval failure analysis: Visual analytics as a support for interactive "what-if" investigation

Marco Angelini, Nicola Ferro, Guido Granato, Guiseppe Santucci, Gianmaria Silvello
2012 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)  
This poster provides an analytical model for examining performances of IR systems, based on the discounted cumulative gain family of metrics, and visualization for interacting and exploring the performances  ...  Moreover, we propose machine learning approach to learn the ranking model of the examined system in order to be able to conduct a "what-if" analysis and visually explore what can happen if you adopt a  ...  The goal of this work is to exploit a visual analytics approach to design a methodology and a prototype tool which support IR researchers and developers in conducting experimental evaluation and improving  ... 
doi:10.1109/vast.2012.6400551 dblp:conf/ieeevast/AngeliniFGSS12 fatcat:t6gfvid36zdpxhn4et42oadnyq

UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization

Jaegul Choo, Changhyun Lee, Chandan K. Reddy, Haesun Park
2013 IEEE Transactions on Visualization and Computer Graphics  
To tackle this problem, we propose a reliable and flexible visual analytics system for topic modeling called UTOPIAN (User-driven Topic modeling based on Interactive Nonnegative Matrix Factorization).  ...  Given a scatter plot visualization generated by the modified t-SNE, UTOPIAN provides various interaction capabilities: (1) topic merging, (2) document-induced topic creation, (3) topic splitting, and (  ...  Finally, we would like to thank Juwon Drake and Jaewon Drake for their significant help in improving the manuscript and the video material.  ... 
doi:10.1109/tvcg.2013.212 pmid:24051765 fatcat:sm572tmocrf4zkplfyvnqrrspq

Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw

C. Gorg, Zhicheng Liu, Jaeyeon Kihm, Jaegul Choo, Haesun Park, J. Stasko
2013 IEEE Transactions on Visualization and Computer Graphics  
Taking a visual analytics approach, we integrate multiple text analysis algorithms with a suite of interactive visualizations in order to provide a flexible and powerful environment that allows analysts  ...  Finally, we provide lessons learned toward the design and implementation of visual analytics systems for document exploration and understanding.  ...  We take a different approach for the cluster summarization algorithm.  ... 
doi:10.1109/tvcg.2012.324 pmid:23267206 fatcat:hjhelczb2bektfft4q4azva6b4

A Multi-scale Visual Analytics Approach for Exploring Biomedical Knowledge [article]

Fahd Husain, Rosa Romero-Gomez, Emily Kuang, Dario Segura, Adamo Carolli, Lai Chung Liu, Manfred Cheung, Yohann Paris
2021 arXiv   pre-print
This paper describes an ongoing multi-scale visual analytics approach for exploring and analyzing biomedical knowledge at scale.We utilize global and local views, hierarchical and flow-based graph layouts  ...  Early interactions with domain experts support our approach for use cases with graphs with over 40,000 nodes and 350,000 edges.  ...  While the skeleton and core components of our approach are in place, we continue to refine the visualization, interaction, and analytic design for both spaces with domain experts.  ... 
arXiv:2109.06828v2 fatcat:b6ej4vtx3fgzhpujpks56j5mwe

Graph Analytics-Lessons Learned and Challenges Ahead

Pak Chung Wong, Chaomei Chen, C. Gorg, B. Shneiderman, J. Stasko, J. Thomas
2011 IEEE Computer Graphics and Applications  
The four applications use graph analytics differently and use nonstandard layout paradigms or adjust existing layout approaches to a specific domain.  ...  grand challenges for future research.  ...  Visual analytics has been called "the science of analytical reasoning facilitated by interactive visual interfaces." 6 Graph analytics is a transdisciplinary R&D area, involving information retrieval  ... 
doi:10.1109/mcg.2011.72 pmid:24808188 fatcat:d5juwfjrwjchroo57r5n5efd6a

Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering

Alex Endert
2016 Synthesis Lectures on Visualization  
User interaction in visual analytic systems is critical to enabling visual data exploration.  ...  Through interacting with visualizations, users engage in sensemaking, a process of developing and understanding relationships within datasets through foraging and synthesis.  ...  Chapter 7 Conclusion Semantic interaction provides visual analytics with a new approach for user interaction in visual analytic applications.  ... 
doi:10.2200/s00730ed1v01y201608vis007 fatcat:agf3nmicbveftgdixq6vjblj6e

Observation-level interaction with statistical models for visual analytics

Alex Endert, Chao Han, Dipayan Maiti, Leanna House, Scotland Leman, Chris North
2011 2011 IEEE Conference on Visual Analytics Science and Technology (VAST)  
Further, we present use cases for GTM, MDS, and PPCA, illustrating how observation level interaction can be incorporated into visual analytic tools.  ...  In visual analytics, sensemaking is facilitated through interactive visual exploration of data.  ...  INTRODUCTION Visual analytics is "the science of analytical reasoning facilitated by interactive visual interfaces" [1] .  ... 
doi:10.1109/vast.2011.6102449 dblp:conf/ieeevast/EndertHMHLN11 fatcat:655p7k7m75epzb7zfnv5cwoaky

Scalable Visual Analytics of Massive Textual Datasets

M. Krishnan, S. Bohn, W. Cowley, V. Crow, J. Nieplocha
2007 2007 IEEE International Parallel and Distributed Processing Symposium  
This approach enables interactive analysis of large datasets beyond capabilities of existing state-of-the art visual analytics tools.  ...  By developing a parallel implementation of the text processing engine, we enabled visual analytics tools to exploit cluster architectures and handle massive datasets.  ...  Other research activities in visual analytics have attempted to address the issue of scale from a visual interaction approach, using a simple or predetermined method or taxonomy for data classification  ... 
doi:10.1109/ipdps.2007.370232 dblp:conf/ipps/KrishnanBCCN07 fatcat:tkcnjcravza5fm4r2awbn3wcqi

Visual Analysis and Knowledge Discovery for Text [chapter]

Christin Seifert, Vedran Sabol, Wolfgang Kienreich, Elisabeth Lex, Michael Granitzer
2013 Large-Scale Data Analytics  
Providing means for effectively accessing and exploring large textual data sets is a problem attracting the attention of text mining and information visualization experts alike.  ...  This chapter provides an overview of data visualization methods for gaining insight into large, heterogeneous, dynamic textual data sets.  ...  Especially for large text repositories, Visual Analytics is a promising approach.  ... 
doi:10.1007/978-1-4614-9242-9_7 fatcat:5ti6ubvuj5d5dhfjg6eyiyld6m

The Scalable Reasoning System: Lightweight visualization for distributed analytics

William A. Pike, Joe Bruce, Bob Baddeley, Daniel Best, Lyndsey Franklin, Richard May, Douglas M. Rice, Rick Riensche, Katarina Younkin
2008 2008 IEEE Symposium on Visual Analytics Science and Technology  
SRS represents a 'lightweight' approach to visual analytics whereby thin client analytic applications can be rapidly deployed in a platform-agnostic fashion.  ...  The service-oriented analytic framework that underlies SRS provides a platform for deploying pervasive visual analytic environments across an enterprise.  ...  Acknowledgements This work was supported by the National Visualization and Analytics Center (NVAC), a US Department of Homeland Security program operated by the Pacific Northwest National Laboratory.  ... 
doi:10.1109/vast.2008.4677366 dblp:conf/ieeevast/PikeBBBFMRRY08 fatcat:y2luznfq3jgy7ofpglu66eftri

Scalable visual reasoning: Supporting collaboration through distributed analysis

William A. Pike, Richard May, Bob Baddeley, Roderick Riensche, Joe Bruce, Katarina Younkin
2007 2007 International Symposium on Collaborative Technologies and Systems  
We present a visualization environment called the Scalable Reasoning System (SRS) that provides a suite of tools for the collection, analysis, and dissemination of reasoning products.  ...  Reasoning structures composed of these artifacts can be shared across platforms while maintaining references to the analytic activity (such as interactive visualization) that produced them.  ...  In a cluster visualization, a user might drill-down to identify a collection of key documents, and then use those documents as evidence to underlie a developing hypothesis.  ... 
doi:10.1109/cts.2007.4621734 dblp:conf/cts/PikeMBRBY07 fatcat:eolt4vtwsves5dnf7ixsyr75vi

Interaction Taxonomy for Tracking of User Actions in Visual Analytics Applications [chapter]

Tatiana von Landesberger, Sebastian Fiebig, Sebastian Bremm, Arjan Kuijper, Dieter W. Fellner
2013 Handbook of Human Centric Visualization  
At present, however, only separate taxonomies for interaction techniques exist in these three fields. Each taxonomy covers only a part of the actions undertaken in Visual Analytics.  ...  This analysis is often supported by interactive Visual Analytics tools that combine automatic analysis with interactive visualization.  ...  Acknowledgements The authors would like to thank DFG for the financial support within SPP Scalable Visual Analytics Programme (SPP 1335).  ... 
doi:10.1007/978-1-4614-7485-2_26 fatcat:l53ubtdsirhj5js4zz7ckepy3a

The Scalable Reasoning System: Lightweight Visualization for Distributed Analytics

William Pike, Joe Bruce, Bob Baddeley, Daniel Best, Lyndsey Franklin, Richard May, Douglas Rice, Rick Riensche, Katarina Younkin
2009 Information Visualization  
SRS represents a 'lightweight' approach to visual analytics whereby thin client analytic applications can be rapidly deployed in a platform-agnostic fashion.  ...  The service-oriented analytic framework that underlies SRS provides a platform for deploying pervasive visual analytic environments across an enterprise.  ...  Acknowledgements This work was supported by the National Visualization and Analytics Center (NVAC), a US Department of Homeland Security program operated by the Pacific Northwest National Laboratory.  ... 
doi:10.1057/ivs.2008.33 fatcat:ioll4hejvjcrtbghcdatumac64

A visual analytics approach to model learning

Supriya Garg, I. V. Ramakrishnan, Klaus Mueller
2010 2010 IEEE Symposium on Visual Analytics Science and Technology  
Users may then tune the weights of the feature vector components to improve the segmentation, which is visualized as a better separation of the clusters.  ...  It so allows users to visually analyze data at a higher, more abstract level, improving scalability.  ...  We also thank all reviewers for their useful suggestions.  ... 
doi:10.1109/vast.2010.5652484 dblp:conf/ieeevast/GargRM10 fatcat:mib6nxejjrb6nonubyifpyccga
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