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

Authors:

Jessica Zeitz Self,

Radha Krishnan Vinayagam,

J. T. Fry,

Chris NorthAuthors Info & Claims

HILDA '16: Proceedings of the Workshop on Human-In-the-Loop Data Analytics

Article No.: 3, Pages 1 - 6

https://doi.org/10.1145/2939502.2939505

Published: 26 June 2016 Publication History

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Abstract

Exploratory data analysis is challenging given the complexity of data. Models find structure in the data lessening the complexity for users. These models have parameters that can be adjusted to explore the data from many different angles providing more ways to learn about the data. "Human in the loop" means users can interact with the parameters to explore alternative structures. This exploration allows for discovery. This paper examines usability issues of Human-Model Interaction (HMI) for data analytics. In particular, we bridge the gaps between a user's intention and the parameters of a WMDS model during HMI communication.

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Cited By

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Zhang YLiu JLai CZhou YChen S(2024)Interpreting High-Dimensional Projections With CapacityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332485130:9(6038-6055)Online publication date: Sep-2024
https://doi.org/10.1109/TVCG.2023.3324851
Dennig FMiller MKeim DEl-Assady M(2024)FS/DS: A Theoretical Framework for the Dual Analysis of Feature Space and Data SpaceIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.328835630:8(5165-5182)Online publication date: Aug-2024
https://doi.org/10.1109/TVCG.2023.3288356
Wenskovitch JDowling MNorth C(2023)Towards Addressing Ambiguous Interactions and Inferring User Intent with Dimension Reduction and Clustering Combinations in Visual AnalyticsACM Transactions on Interactive Intelligent Systems10.1145/3588565Online publication date: 17-Apr-2023
https://dl.acm.org/doi/10.1145/3588565
Show More Cited By

Index Terms

Bridging the gap between user intention and model parameters for human-in-the-loop data analytics
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies

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Information

Published In

HILDA '16: Proceedings of the Workshop on Human-In-the-Loop Data Analytics

June 2016

93 pages

ISBN:9781450342070

DOI:10.1145/2939502

Conference Chairs:
Carsten Binnig,
Alan Fekete,
Arnab Nandi

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2016

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Research-article

Funding Sources

National Science Foundation

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SIGMOD/PODS'16

Sponsor:

Paxata
tableau
Trifacta
IBM

SIGMOD/PODS'16: International Conference on Management of Data

June 26 - July 1, 2016

California, San Francisco

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HILDA '16 Paper Acceptance Rate 16 of 32 submissions, 50%;

Overall Acceptance Rate 28 of 56 submissions, 50%

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Cited By

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Zhang YLiu JLai CZhou YChen S(2024)Interpreting High-Dimensional Projections With CapacityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332485130:9(6038-6055)Online publication date: Sep-2024
https://doi.org/10.1109/TVCG.2023.3324851
Dennig FMiller MKeim DEl-Assady M(2024)FS/DS: A Theoretical Framework for the Dual Analysis of Feature Space and Data SpaceIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.328835630:8(5165-5182)Online publication date: Aug-2024
https://doi.org/10.1109/TVCG.2023.3288356
Wenskovitch JDowling MNorth C(2023)Towards Addressing Ambiguous Interactions and Inferring User Intent with Dimension Reduction and Clustering Combinations in Visual AnalyticsACM Transactions on Interactive Intelligent Systems10.1145/3588565Online publication date: 17-Apr-2023
https://dl.acm.org/doi/10.1145/3588565
Cheng KSi YZhou HTahir RMagalhães Jdel Bimbo ASatoh SSebe NAlameda-Pineda XJin QOria VToni L(2022)MMDV: Interpreting DNNs via Building Evaluation Metrics, Manual Manipulation and Decision VisualizationProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3548260(6627-6635)Online publication date: 10-Oct-2022
https://dl.acm.org/doi/10.1145/3503161.3548260
Fujiwara TWei XZhao JMa K(2022)Interactive Dimensionality Reduction for Comparative AnalysisIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311480728:1(758-768)Online publication date: Jan-2022
https://doi.org/10.1109/TVCG.2021.3114807
Wu XXiao LSun YZhang JMa THe L(2022)A survey of human-in-the-loop for machine learningFuture Generation Computer Systems10.1016/j.future.2022.05.014135(364-381)Online publication date: Oct-2022
https://doi.org/10.1016/j.future.2022.05.014
Ye CMalin BFabbri D(2021)Leveraging medical context to recommend semantically similar terms for chart reviewsBMC Medical Informatics and Decision Making10.1186/s12911-021-01724-221:1Online publication date: 18-Dec-2021
https://doi.org/10.1186/s12911-021-01724-2
Bian YNorth CHammond TVerbert KParra DKnijnenburg BO'Donovan JTeale P(2021)DeepSI: Interactive Deep Learning for Semantic InteractionProceedings of the 26th International Conference on Intelligent User Interfaces10.1145/3397481.3450670(197-207)Online publication date: 14-Apr-2021
https://dl.acm.org/doi/10.1145/3397481.3450670
Wang MWenskovitch JHouse LPolys NNorth C(2021)Bridging cognitive gaps between user and model in interactive dimension reductionVisual Informatics10.1016/j.visinf.2021.03.002Online publication date: Apr-2021
https://doi.org/10.1016/j.visinf.2021.03.002
Li ZZhang CZhang YZhang J(2021)SemanticAxis: exploring multi-attribute data by semantic construction and ranking analysisJournal of Visualization10.1007/s12650-020-00733-z24:5(1065-1081)Online publication date: 10-Mar-2021
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