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Does the User Have A Theory of the Recommender? A Grounded Theory Study

Mohammed Muheeb Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri Saremi, Bamshad Mobasher
2022 User Modeling, Adaptation, and Personalization  
In this paper, we explore the users' perception and understanding of the recommender system in an empirical study using a grounded theory methodology.  ...  Our findings, based on individual in-depth interviews, suggest that users possess a sophisticated understanding of the recommender system's behavior.  ...  The insights obtained from this study are grounded purely in observations of the participants' knowledge and personal experiences.  ... 
doi:10.1145/3511047.3537680 dblp:conf/um/GhoriDGSM22 fatcat:zrmvtqburbdx5jix7dx45kirra

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.  ...  , unifying the sensemaking loop.  ... 
doi:10.2200/s00730ed1v01y201608vis007 fatcat:agf3nmicbveftgdixq6vjblj6e

Requirements for Big Data Analytics Supporting Decision Making: A Sensemaking Perspective [chapter]

Lydia Lau, Fan Yang-Turner, Nikos Karacapilidis
2014 Studies in Big Data  
Very often, people with diverse expert knowledge need to work together towards a meaningful interpretation of the associated results for new insight.  ...  Two contrasting real-world use case studies were undertaken to test the applicability of the proposed architecture for the development of a supporting platform for big data analysis.  ...  Such tasks consist of information gathering, representation of the information in a schema that aids analysis, the development of insight through the manipulation of this representation, and the creation  ... 
doi:10.1007/978-3-319-02612-1_3 fatcat:h5o73bxaxnfn5ghtzwv6rvdmcm

Grand Challenges in Immersive Analytics

Barrett Ens, Benjamin Bach, Maxime Cordeil, Ulrich Engelke, Marcos Serrano, Wesley Willett, Arnaud Prouzeau, Christoph Anthes, Wolfgang Büschel, Cody Dunne, Tim Dwyer, Jens Grubert (+12 others)
2021 Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems  
Given the rapid advancement of interaction technologies and novel application domains, this paper aims toward a broader research agenda to enable widespread adoption.  ...  This research has thrived over the past years with multiple workshops, seminars, and a growing body of publications, spanning several conferences.  ...  ACKNOWLEDGEMENTS The authors in this paper are partially supported by the following grants: ANR JCJC PERFIN grant (ANR-  ... 
doi:10.1145/3411764.3446866 fatcat:byvz63jylzdvhn7tlbfj7v23hy

Semantic interaction for visual text analytics

Alex Endert, Patrick Fiaux, Chris North
2012 Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems - CHI '12  
Further, we demonstrate how semantic interactions can be implemented using machine learning techniques in a visual analytic tool, called ForceSPIRE, for interactive analysis of textual data within a spatial  ...  In this paper, we present the opportunity for a new design space for visual analytic interaction, called semantic interaction, which seeks to enable analysts to spatially interact with such models directly  ...  ACKNOWLEDGEMENTS This research was funded by the NSF grant CCF-0937071 and the DHS center of excellence.  ... 
doi:10.1145/2207676.2207741 dblp:conf/chi/EndertFN12 fatcat:ezy4yam2grbnppcia7ee4qrgku

The Role of Uncertainty, Awareness, and Trust in Visual Analytics

Dominik Sacha, Hansi Senaratne, Bum Chul Kwon, Geoffrey Ellis, Daniel A. Keim
2016 IEEE Transactions on Visualization and Computer Graphics  
In the process, a myriad of analytical and visualisation techniques are employed to generate a visual representation of the data.  ...  Furthermore, guidelines for the design of uncertainty-aware systems are presented that can aid the user in better decision making.  ...  What is missing is a unified framework that bridges the concepts of uncertainties on the machine side and the trust building process on the human side.  ... 
doi:10.1109/tvcg.2015.2467591 pmid:26529704 fatcat:ggxkbbx4b5ftfp2o55ao66nloy

Beyond Tasks: An Activity Typology for Visual Analytics

Darren Edge, Nathalie Henry Riche, Jonathan Larson, Christopher White
2018 IEEE Transactions on Visualization and Computer Graphics  
In preparation for the remainder of the paper, we establish the activity system model as a framework for unifying disparate concepts arising from a broad spectrum of taxonomies, theories, systems, and  ...  In this paper, we interpret VA research through the lens of Activity Theory (AT)-a framework for modelling human activities that has been influential in the field of Human-Computer Interaction.  ...  ACKNOWLEDGEMENTS We thank James Landay and Sergio Paolantonio for their contributions to the activity-centered design process used in this work.  ... 
doi:10.1109/tvcg.2017.2745180 pmid:28866577 fatcat:erxuw2bntndivovicejib3s6pi

Building and Applying a Human Cognition Model for Visual Analytics

Tera Marie Green, William Ribarsky, Brian Fisher
2009 Information Visualization  
We then assess these visual analytics guidelines through the evaluation of several visualization examples. Lastly, we discuss steps that can be taken towards a predictive human cognition model.  ...  Success of the visual analytics approach will require us to develop new visualization models that predict how computational processes might facilitate human insight and guide the flow of human reasoning  ...  Department of Homeland Security Program, under the auspices of the SouthEast Regional Visualization and Analytics Center. Special thanks to Benjamin F. Green for helpful insights.  ... 
doi:10.1057/ivs.2008.28 fatcat:btrlvcwxajbqnfl4y3uy3haaty

VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection [article]

Liang Gou, Lincan Zou, Nanxiang Li, Michael Hofmann, Arvind Kumar Shekar, Axel Wendt, Liu Ren
2020 arXiv   pre-print
In this work, we propose a visual analytics system, VATLD, equipped with a disentangled representation learning and semantic adversarial learning, to assess, understand, and improve the accuracy and robustness  ...  We also demonstrate the effectiveness of various performance improvement strategies derived from actionable insights with our visual analytics system, VATLD, and illustrate some practical implications  ...  In this work, we strive for a unified visual analytic approach to alleviate these issues.  ... 
arXiv:2009.12975v1 fatcat:35gtds7y6rcjxm7tvnk2orxgaa

Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field

Michael Behrisch, Dirk Streeb, Florian Stoffel, Daniel Seebacher, Brian Matejek, Stefan Hagen Weber, Sebastian Mittelstaedt, Hanspeter Pfister, Daniel Keim
2018 IEEE Transactions on Visualization and Computer Graphics  
Five years after the first state-of-the-art report on Commercial Visual Analytics Systems we present a reevaluation of the Big Data Analytics field.  ...  Furthermore, we introduce novel measures, like suitability for specific user groups and the ability to handle complex data types, and undertake a new case study to highlight innovative features.  ...  Case Study Evaluation: To derive an understanding of which user groups benefit most from the systems' analytical, visualization and user-guidance features, we conduct an informal case study in which we  ... 
doi:10.1109/tvcg.2018.2859973 pmid:30059307 fatcat:w22e7ha7i5cxvokajils6mmbzq

Discovering Medical Knowledge Using Visual Analytics [article]

Werner Sturm, Tobias Schreck, Andreas Holzinger, Torsten Ullrich
2015 Eurographics Workshop on Visual Computing for Biomedicine  
This article gives a state-of-the-art overview on visual analytics reseach with a focus on the biomedical domain, systems biology and *omics data.  ...  To analyze and communicate such a vast amount of information to the user, advanced techniques such as knowledge discovery and information visualization are necessary.  ...  User-centered design and the tailoring of information representations to the specificity of human information processing is crucial.  ... 
doi:10.2312/vcbm.20151210 dblp:conf/vcbm/SturmSHU15 fatcat:fjkpoap425ezbjj5c3cm7dhuay

Competence analytics

Vivekanandan Kumar, David Boulanger, Jeremie Seanosky, Kinshuk, Karthikeyan Panneerselvam, Thamarai Selvi Somasundaram
2014 Journal of Computers in Education  
The current SCALE system has been used in a study to track the habits, performances, and competences of novice programmers.  ...  The article describes the analytics-based approach pursued in the study and highlights key findings.  ...  Another early development toward a smart learning environment is a selfadapting algorithm for context-aware systems, where ''the algorithm is characterized by a closed feedback loop with four phases: monitoring  ... 
doi:10.1007/s40692-014-0018-6 fatcat:qk6sbc2sebg5badbpdhxgnpbsu

Learning analytics for learning design: A systematic literature review of analytics-driven design to enhance learning

Katerina Mangaroska, Michail N. Giannakos
2018 IEEE Transactions on Learning Technologies  
This paper intends to summarize the main outcomes of a systematic literature review of empirical evidence on learning analytics for learning design.  ...  As the fields of learning analytics and learning design mature, the convergence and synergies between these two fields became an important area for research.  ...  In addition, the authors are extremely grateful to the associate editor and the reviewers for their constructive comments and useful insights, which significantly improved the paper.  ... 
doi:10.1109/tlt.2018.2868673 fatcat:o6eg4oo6jjbgjftfpdvmg7rjue

Interaction for Immersive Analytics [chapter]

Wolfgang Büschel, Jian Chen, Raimund Dachselt, Steven Drucker, Tim Dwyer, Carsten Görg, Tobias Isenberg, Andreas Kerren, Chris North, Wolfgang Stuerzlinger
2018 Lecture Notes in Computer Science  
In this chapter, we briefly review the development of natural user interfaces and discuss their role in providing human-computer interaction that is immersive in various ways.  ...  Specifically, we review and suggest some interaction design guidelines for immersive analytics. We also review some hardware setups for data visualization that are already archetypal.  ...  Acknowledgements Büschel acknowledges funding by the German Federal Ministry of Education and Research, grant no. 03ZZ0514C and Dwyer acknowledges support by the Australian Research Council Discovery Scheme  ... 
doi:10.1007/978-3-030-01388-2_4 fatcat:cvizg5wigvgxnjwjdx2vrc7nu4

Designing a Process Model for Health Analytic Projects

Supunmali Ahangama, Danny Chiang Choon Poo
2015 Pacific Asia Conference on Information Systems  
While a well-documented process model will avoid overdependence on the experience of an analyst it will also assist novice users in learning the best practices to analytics very easily.  ...  The health analytic (HA) process model presented in this paper is developed to conduct HA projects in an orderly manner instead of approaching them in an ad-hoc manner.  ...  INTRODUCTION Usage of a unified methodology will improve the process and output of health analytics (HA) .  ... 
dblp:conf/pacis/AhangamaP15 fatcat:luuh7va235fsbi4yewhkvzer6q
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