abstract

Mobile situated analytics of ego-centric network data

Authors:

Huamin QuAuthors Info & Claims

SA '17: SIGGRAPH Asia 2017 Symposium on Visualization

Article No.: 14, Pages 1 - 8

https://doi.org/10.1145/3139295.3139309

Published: 27 November 2017 Publication History

Abstract

Situated Analytics has become popular and important with the resurge of Augmented Reality techniques and the prevalence of mobile platforms. However, existing Situated Analytics could only assist in simple visual analytical tasks such as data retrieval, and most visualization systems capable of aiding complex Visual Analytics are only designed for desktops. Thus, there remain lots of open questions about how to adapt desktop visualization systems to mobile platforms. In this paper, we conduct a study to discuss challenges and trade-offs during the process of adapting an existing desktop system to a mobile platform. With a specific example of interest, egoSlider [Wu et al. 2016], a four-view dynamic ego-centric network visualization system is tailored to adapt the iPhone platform. We study how different view management techniques and interactions influence the effectiveness of presenting multi-scale visualizations including Scatterplot and Storyline visualizations. Simultaneously, a novel Main view+Thumbnails interface layout is devised to support smooth linking between multiple views on mobile platforms. We assess the effectiveness of our system through expert interviews with four experts in data visualization.

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Cited By

Verdelho Trindade NLeitão PGonçalves DOliveira SFerreira A(2024)The Role of Situatedness in Immersive Dam Visualization: Comparing Proxied with Immediate ApproachesComputers10.3390/computers1302003513:2(35)Online publication date: 27-Jan-2024
https://doi.org/10.3390/computers13020035
Friedl‐Knirsch JPointecker FPfistermüller SStach CAnthes CRoth D(2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15111
Shin SBatch AButcher PRitsos PElmqvist N(2024)The Reality of the Situation: A Survey of Situated AnalyticsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.328554630:8(5147-5164)Online publication date: Aug-2024
https://doi.org/10.1109/TVCG.2023.3285546
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Index Terms

Mobile situated analytics of ego-centric network data
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Information visualization

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Information & Contributors

Information

Published In

cover image ACM Conferences

SA '17: SIGGRAPH Asia 2017 Symposium on Visualization

November 2017

154 pages

ISBN:9781450354110

DOI:10.1145/3139295

Conference Chairs:
Koji Koyamada
Kyoto University, Japan
,
Puripant Ruchikachorn
Chulalongkorn University, Thailand

Copyright © 2017 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 November 2017

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Author Tag

mobile and ubiquitous visualization

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SA '17

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SIGGRAPH

SA '17: SIGGRAPH Asia 2017

November 27 - 30, 2017

Bangkok, Thailand

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Overall Acceptance Rate 178 of 869 submissions, 20%

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Cited By

Verdelho Trindade NLeitão PGonçalves DOliveira SFerreira A(2024)The Role of Situatedness in Immersive Dam Visualization: Comparing Proxied with Immediate ApproachesComputers10.3390/computers1302003513:2(35)Online publication date: 27-Jan-2024
https://doi.org/10.3390/computers13020035
Friedl‐Knirsch JPointecker FPfistermüller SStach CAnthes CRoth D(2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15111
Shin SBatch AButcher PRitsos PElmqvist N(2024)The Reality of the Situation: A Survey of Situated AnalyticsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.328554630:8(5147-5164)Online publication date: Aug-2024
https://doi.org/10.1109/TVCG.2023.3285546
Chen JLi CSong SWang C(2023)iARVis: Mobile AR Based Declarative Information Visualization Authoring, Exploring and Sharing2023 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR55154.2023.00017(11-21)Online publication date: Mar-2023
https://doi.org/10.1109/VR55154.2023.00017
Fleck PCalepso AHubenschmid SSedlmair MSchmalstieg D(2023)RagRug: A Toolkit for Situated AnalyticsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.315705829:7(3281-3297)Online publication date: 1-Jul-2023
https://doi.org/10.1109/TVCG.2022.3157058
LYi SJo JSeo J(2021)Comparative Layouts Revisited: Design Space, Guidelines, and Future DirectionsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.303041927:2(1525-1535)Online publication date: Feb-2021
https://doi.org/10.1109/TVCG.2020.3030419
Chen ZTong WWang QBach BQu HBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Augmenting Static Visualizations with PapARVis DesignerProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376436(1-12)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376436
Chen ZSu YWang YWang QQu HWu Y(2020)MARVisT: Authoring Glyph-Based Visualization in Mobile Augmented RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2019.289241526:8(2645-2658)Online publication date: 1-Aug-2020
https://doi.org/10.1109/TVCG.2019.2892415

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