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Does the User Have A Theory of the Recommender? A Grounded Theory Study
2022
User Modeling, Adaptation, and Personalization
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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
2016
Synthesis Lectures on Visualization
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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]
2014
Studies in Big Data
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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
2021
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
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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
2012
Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems - CHI '12
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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
2016
IEEE Transactions on Visualization and Computer Graphics
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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
2018
IEEE Transactions on Visualization and Computer Graphics
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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
2009
Information Visualization
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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]
2020
arXiv
pre-print
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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
2018
IEEE Transactions on Visualization and Computer Graphics
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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]
2015
Eurographics Workshop on Visual Computing for Biomedicine
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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
2014
Journal of Computers in Education
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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
2018
IEEE Transactions on Learning Technologies
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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]
2018
Lecture Notes in Computer Science
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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
2015
Pacific Asia Conference on Information Systems
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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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