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Bridging the gap between user intention and model parameters for human-in-the-loop data analytics

Jessica Zeitz Self, Radha Krishnan Vinayagam, J. T. Fry, Chris North
2016 Proceedings of the Workshop on Human-In-the-Loop Data Analytics - HILDA '16  
In particular, we bridge the gaps between a user's intention and the parameters of a WMDS model during HMI communication.  ...  "Human in the loop" means users can interact with the parameters to explore alternative structures. This exploration allows for discovery.  ...  This research was supported in part by NSF grants IIS-1447416, IIS-1218346, and DUE-1141096.  ... 
doi:10.1145/2939502.2939505 dblp:conf/sigmod/SelfVFN16 fatcat:mgert2jowjfq3mil74xi6cmtz4

I2BN: Intelligent Intent Based Networks

Péter Szilágyi
2021 Journal of ICT Standardization  
This principle removes the ambiguity and compatibility gap between human intent definition and machine intent fulfillment, while retaining the flexibility and extendibility of the intents offered by any  ...  The human-network intent interface for expressing intents is proposed to be based on the aggregation of the deployed network and service automation capabilities, rather than a formalism decoupled from  ...  Acknowledgement This work was supported by the National Research, Development and Innovation Fund of Hungary in the frame of FIEK 16-1-2016-0007 (Higher Education and Industrial Cooperation Center) project  ... 
doi:10.13052/jicts2245-800x.926 fatcat:tjuloesvhbe6vjwcntlue4h5qu

DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning [article]

Yali Bian, John Wenskovitch, Chris North
2020 arXiv   pre-print
To bridge the gap between cognition and computation in visual analytics, we propose DeepVA (Deep Visual Analytics), which uses high-level deep learning representations for semantic interaction instead  ...  DeepVA effectively hastened interactive convergence between cognitive understanding and computational modeling of the data, especially in high abstraction tasks.  ...  Furthermore, DeepVA offers new insight into effectively bridging the gap between human cognition and computational models.  ... 
arXiv:2007.15800v1 fatcat:b3apfyoa7neq7a4zalsn2mzhka

What you see is what you can change: Human-centered machine learning by interactive visualization

Dominik Sacha, Michael Sedlmair, Leishi Zhang, John A. Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim
2017 Neurocomputing  
We propose a conceptual framework that models human interactions with ML components in the VA process, and that puts the central relationship between automated algorithms and interactive visualizations  ...  Visual analytics (VA) systems help data analysts solve complex problems interactively, by integrating automated data analysis and mining, such as machine learning (ML) based methods, with interactive visualizations  ...  Human-centered user interface design attempts to bridge these gaps. User interface features need to be visible and offer Affordances to the end user.  ... 
doi:10.1016/j.neucom.2017.01.105 fatcat:nv7dh4uhprd43npfhhy7objowm

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  
Action Hypothesis Finding K Insight Knowledge Uncertainty Handling and Reduction Awareness Trust Building Fig. 1: Knowledge generation model for visual analytics including uncertainty propagation and human  ...  The knowledge generation model for visual analytics is used to provide a terminology and framework to discuss the consequences of these aspects in knowledge construction and though examples, machine uncertainty  ...  For example, with visual analytics tools we often observe users having problems with model steering interactions such as parameter setting [64] .  ... 
doi:10.1109/tvcg.2015.2467591 pmid:26529704 fatcat:ggxkbbx4b5ftfp2o55ao66nloy

PRESENCE: A Human-Inspired Architecture for Speech-Based Human-Machine Interaction

Roger Moore
2007 IEEE transactions on computers  
Cooperative and communicative behavior emerges as a by-product of an architecture that is founded on a model of interaction in which the system has in mind the needs and intentions of a user, and a user  ...  has in mind the needs and intentions of the system.  ...  The principle of defining a model, estimating its parameters from example data, and then deploying that model as a mechanism for generalizing in novel situations is above reproach, and the use of statistical  ... 
doi:10.1109/tc.2007.1080 fatcat:jvtvfgpxabf3no4zahothjtscu

Spoken language processing: Piecing together the puzzle

Roger K. Moore
2007 Speech Communication  
them into a new model: PRESENCE (PREdictive SENsorimotor Control and Emulation).  ...  Despite tremendous achievements over the past fifty or so years, there is still a long way to go before we reach a comprehensive explanation of human spoken language behaviour and can create a technology  ...  Acknowledgement The author would like to thank the reviewers for their knowledgeable and constructive comments.  ... 
doi:10.1016/j.specom.2007.01.011 fatcat:qwt4hltalndnvpp5ii4tuajrza

User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics [article]

Anamaria Crisan, Michael Correll
2021 arXiv   pre-print
These models remain challenging to optimize and often require a "human-in-the-loop" approach where domain experts use their knowledge to steer and adjust.  ...  We find that user interactions have impacts that differ in magnitude but often negatively affect the quality of the resulting modelling in a way that can be difficult for the user to evaluate.  ...  We also thank the reviewers for their feedback.  ... 
arXiv:2101.02244v1 fatcat:dge3niwcpncjdbo2q3estntdj4

Visual Analytics for Automated Model Discovery [article]

Dylan Cashman , Kendall Park , Abigail Mosca , Remco Chang University of Wisconsin - Madison,
2018 arXiv   pre-print
Visual analytics can be helpful in giving a user of autoML insight into their data, and a more complete understanding of the models discovered by autoML, including differences between multiple models.  ...  Then we describe a prototype system Snowcat, developed according to the presented framework and architecture, that aids users in generating models for a diverse set of data and modeling tasks.  ...  ACKNOWLEDGMENTS This material is partially based on research sponsored by the Air Force Research Laboratory and DARPA under agreement number FA8750-17-2-0107  ... 
arXiv:1809.10782v2 fatcat:bmpxyqwoabajdkq6o3snmt3dhq

The State of the Art in Integrating Machine Learning into Visual Analytics

A. Endert, W. Ribarsky, C. Turkay, B.L. William Wong, I. Nabney, I. Díaz Blanco, F. Rossi
2017 Computer graphics forum (Print)  
Further, it presents opportunities and challenges to enhance the synergy between machine learning and visual analytics for impactful future research directions.  ...  Visual analytics systems combine machine learning or other analytic techniques with interactive data visualization to promote sensemaking and analytical reasoning.  ...  Their model (Figure 2 ) depicts an exchange of information between the human and the data in terms of frames.  ... 
doi:10.1111/cgf.13092 fatcat:twl3cmkb5re2pmihg6dquwe7by

Gaps in content-based image retrieval

Thomas M. Deserno, Sameer Antani, Rodney Long, Steven C. Horii, Katherine P. Andriole
2007 Medical Imaging 2007: PACS and Imaging Informatics  
The cause is often attributed without sufficient analytical reasoning to the inability of these applications in overcoming the "semantic gap".  ...  The semantic gap divides the high-level scene analysis of humans from the low-level pixel analysis of computers.  ...  of human vision and image understanding; and (ii) Smeulders et al. have defined a sensory gap between the object in the world and the information in a (computational) description derived from a recording  ... 
doi:10.1117/12.709912 fatcat:2iibwq2rnvgfjnuqwvpcyo7rmy

Provenance and Logging for Sense Making (Dagstuhl Seminar 18462)

Jean-Daniel Fekete, T. J. Jankun-Kelly, Melanie Tory, Kai Xi, Michael Wagner
2019 Dagstuhl Reports  
For example, the Human-Computer Interaction community relies on the analysis of logging to understand user behaviors and intentions; the WWW and database community has been working on data lineage to understand  ...  As a result, sense making is often performed manually and the limited human cognition capability becomes the bottleneck of sense making in data analysis and decision making.  ...  North, Bridging the gap between user intention and model parameters for human-in-the-loop data analytics, in: Proceedings of the Provenance and machine learning can be mutually beneficial in two distinct  ... 
doi:10.4230/dagrep.8.11.35 dblp:journals/dagstuhl-reports/FeketeJT018 fatcat:7v3qdjoz7farjf7qwo2srdstkm

Transfer of Technology and The Dynamics Involved in Adoption of Innovation

Jaisridhar. P Jaisridhar. P, S. Sangeetha S. Sangeetha
2012 International Journal of Scientific Research  
Data analytics will facilitate in developing a more promising and data rich System Dynamics model.  ...  This research explores the above problems and others discussed by varies researchers in technology transfer and particularly those in Technology-Organization-Environment (TOE) framework using Data analytics  ...  to bridge this gap.  ... 
doi:10.15373/22778179/feb2013/133 fatcat:zw67d5c7gfhgbl6ykebt5yue4m

Actionable Knowledge Discovery and Delivery [chapter]

Longbing Cao
2015 Advanced Information and Knowledge Processing  
Thorough and innovative retrospection and thinking are timely in bridging the gaps and promoting data mining toward next-generation research and development: namely, the paradigm shift from knowledge discovery  ...  This shows the poor relationship and significant gap between data mining research and practice, and between knowledge, power, and action, and forms an increasing imbalance between research outcomes and  ...  Human involvement is embodied through the cooperation between humans (including users and business analysts, mainly domain experts) and a data mining system.  ... 
doi:10.1007/978-1-4471-6551-4_14 fatcat:6scvl5ruefd73pqgx6svsjn6ri

Actionable knowledge discovery and delivery

Longbing Cao
2012 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery  
Thorough and innovative retrospection and thinking are timely in bridging the gaps and promoting data mining toward next-generation research and development: namely, the paradigm shift from knowledge discovery  ...  This shows the poor relationship and significant gap between data mining research and practice, and between knowledge, power, and action, and forms an increasing imbalance between research outcomes and  ...  Human involvement is embodied through the cooperation between humans (including users and business analysts, mainly domain experts) and a data mining system.  ... 
doi:10.1002/widm.1044 fatcat:dhne3fm7sjcndfe5mis2vm6xza
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