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Chronodes: Interactive Multifocus Exploration of Event Sequences

Authors:

Peter J. Polack Jr.,

Shang-Tse Chen,

Kaya De Barbaro,

Moushumi Sharmin,

Duen Horng ChauAuthors Info & Claims

ACM Transactions on Interactive Intelligent Systems (TiiS), Volume 8, Issue 1

Article No.: 2, Pages 1 - 21

https://doi.org/10.1145/3152888

Published: 06 February 2018 Publication History

Abstract

The advent of mobile health (mHealth) technologies challenges the capabilities of current visualizations, interactive tools, and algorithms. We present Chronodes, an interactive system that unifies data mining and human-centric visualization techniques to support explorative analysis of longitudinal mHealth data. Chronodes extracts and visualizes frequent event sequences that reveal chronological patterns across multiple participant timelines of mHealth data. It then combines novel interaction and visualization techniques to enable multifocus event sequence analysis, which allows health researchers to interactively define, explore, and compare groups of participant behaviors using event sequence combinations. Through summarizing insights gained from a pilot study with 20 behavioral and biomedical health experts, we discuss Chronodes’s efficacy and potential impact in the mHealth domain. Ultimately, we outline important open challenges in mHealth, and offer recommendations and design guidelines for future research.

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Cited By

Wong KWang XWang YHe JZhang RQu H(2024)Anchorage: Visual Analysis of Satisfaction in Customer Service Videos Via Anchor EventsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.324560930:7(4008-4022)Online publication date: Jul-2024
https://doi.org/10.1109/TVCG.2023.3245609
Chan GNwagu COdenigbo IAlslaity AOrji R(2024)The Shape of Mobile Health: A Systematic Review of Health Visualization on Mobile DevicesInternational Journal of Human–Computer Interaction10.1080/10447318.2024.231328241:2(1154-1172)Online publication date: 20-Feb-2024
https://doi.org/10.1080/10447318.2024.2313282
Tan XSuo XLi WBi LYao F(2024)Data visualization in healthcare and medicine: a surveyThe Visual Computer10.1007/s00371-024-03586-xOnline publication date: 7-Aug-2024
https://doi.org/10.1007/s00371-024-03586-x
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Index Terms

Chronodes: Interactive Multifocus Exploration of Event Sequences
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems
2. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Visual analytics

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Published In

cover image ACM Transactions on Interactive Intelligent Systems

ACM Transactions on Interactive Intelligent Systems Volume 8, Issue 1

Special Issue on Interactive Visual Analysis of Human Crowd Behaviors and Regular Paper

March 2018

132 pages

ISSN:2160-6455

EISSN:2160-6463

DOI:10.1145/3185338

Editor:
Michelle Zhou
Juji, Inc., USA

Issue’s Table of Contents

Copyright © 2018 ACM.

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 ACM 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: 06 February 2018

Accepted: 01 October 2017

Revised: 01 July 2017

Received: 01 January 2017

Published in TIIS Volume 8, Issue 1

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Cited By

Wong KWang XWang YHe JZhang RQu H(2024)Anchorage: Visual Analysis of Satisfaction in Customer Service Videos Via Anchor EventsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.324560930:7(4008-4022)Online publication date: Jul-2024
https://doi.org/10.1109/TVCG.2023.3245609
Chan GNwagu COdenigbo IAlslaity AOrji R(2024)The Shape of Mobile Health: A Systematic Review of Health Visualization on Mobile DevicesInternational Journal of Human–Computer Interaction10.1080/10447318.2024.231328241:2(1154-1172)Online publication date: 20-Feb-2024
https://doi.org/10.1080/10447318.2024.2313282
Tan XSuo XLi WBi LYao F(2024)Data visualization in healthcare and medicine: a surveyThe Visual Computer10.1007/s00371-024-03586-xOnline publication date: 7-Aug-2024
https://doi.org/10.1007/s00371-024-03586-x
Choi SSajib MManzano JChlebek C(2023)mHealth Technology Experiences of Middle-Aged and Older Individuals With Visual Impairments: Cross-Sectional Interview StudyJMIR Formative Research10.2196/524107(e52410)Online publication date: 25-Dec-2023
https://doi.org/10.2196/52410
Dritsa DHouben S(2023)Dimension Hopper: A Tool for Exploring Multidimensional Data in Design ResearchProceedings of the 2nd International Conference of the ACM Greek SIGCHI Chapter10.1145/3609987.3609995(1-5)Online publication date: 27-Sep-2023
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Lee UJung GMa EKim JKim HAlikhanov JNoh YKim H(2023)Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research DirectionsIEEE/CAA Journal of Automatica Sinica10.1109/JAS.2023.12301510:1(42-66)Online publication date: Jan-2023
https://doi.org/10.1109/JAS.2023.123015
Mansoor HGerych WAlajaji ABuquicchio LChandrasekaran KAgu ERundensteiner ERodriguez A(2023)INPHOVIS: Interactive visual analytics for smartphone-based digital phenotypingVisual Informatics10.1016/j.visinf.2023.01.0027:2(13-29)Online publication date: Jun-2023
https://doi.org/10.1016/j.visinf.2023.01.002
Scheer JVolkert ABrich NWeinert LSanthanam NKrone MGanslandt TBoeker MNagel T(2022)Visualization Techniques of Time-Oriented Data for the Comparison of Single Patients With Multiple Patients or Cohorts: Scoping ReviewJournal of Medical Internet Research10.2196/3804124:10(e38041)Online publication date: 24-Oct-2022
https://doi.org/10.2196/38041
Guo YGuo SJin ZKaul SGotz DCao N(2022)Survey on Visual Analysis of Event Sequence DataIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310041328:12(5091-5112)Online publication date: 1-Dec-2022
https://doi.org/10.1109/TVCG.2021.3100413
Kwon BAnand VSeverson KGhosh SSun ZFrohnert BLundgren MNg K(2021)DPVis: Visual Analytics With Hidden Markov Models for Disease Progression PathwaysIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.298568927:9(3685-3700)Online publication date: 1-Sep-2021
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