DatAR: An Immersive Literature Exploration Environment for Neuroscientists

被引：1
作者：
Troost, Ivar [1 ]
Tanhaei, Ghazaleh [2 ]
Hardman, Lynda [3 ,4 ]
Hurst, Wolfgang [2 ]
机构：
[1] Univ Utrecht, Freudenthal Inst, Utrecht, Netherlands
[2] Univ Utrecht, Informat & Comp Sci, Utrecht, Netherlands
[3] Ctr Wiskunde & Informat, Amsterdam, Netherlands
[4] Univ Utrecht, Utrecht, Netherlands
来源：
2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY (AIVR 2020) | 2020年
关键词：
Immersive analytics; augmented reality; linked data; literature exploration; neuroscience;
D O I：
10.1109/AIVR50618.2020.00020
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Maintaining an overview of publications in the neuroscientific field is challenging, especially with an eye to finding relations at scale; for example, between brain regions and diseases. This is true for well-studied as well as nascent relationships. To support neuroscientists in this challenge, we developed an Immersive Analytics (IA) prototype for the analysis of relationships in large collections of scientific papers. In our video demonstration we showcase the system's design and capabilities using a walkthrough and mock user scenario. This companion paper relates our prototype to previous IA work and offers implementation details.
引用
收藏
页码：55 / 56
页数：2
相关论文
共 11 条
  • [1] ImAxes: Immersive Axes as Embodied Affordances for Interactive Multivariate Data Visualisation
    Cordeil, Maxime
    Cunningham, Andrew
    Dwyer, Tim
    Thomas, Bruce H.
    Marriott, Kim
    [J]. UIST'17: PROCEEDINGS OF THE 30TH ANNUAL ACM SYMPOSIUM ON USER INTERFACE SOFTWARE AND TECHNOLOGY, 2017, : 71 - 83
  • [2] Immersive Collaborative Analysis of Network Connectivity: CAVE-style or Head-Mounted Display?
    Cordeil, Maxime
    Dwyer, Tim
    Klein, Karsten
    Laha, Bireswar
    Marriott, Kim
    Thomas, Bruce H.
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2017, 23 (01) : 441 - 450
  • [3] A Survey on Visual Approaches for Analyzing Scientific Literature and Patents
    Federico, Paolo
    Heimerl, Florian
    Koch, Steffen
    Miksch, Silvia
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2017, 23 (09) : 2179 - 2198
  • [4] Fonnet A., 2019, IEEE T VIS COMPUT GR
  • [5] Görg C, 2010, LECT NOTES ARTIF INT, V6279, P420, DOI 10.1007/978-3-642-15384-6_45
  • [6] A survey on literature based discovery approaches in biomedical domain
    Gopalakrishnan, Vishrawas
    Jha, Kishlay
    Jin, Wei
    Zhang, Aidong
    [J]. JOURNAL OF BIOMEDICAL INFORMATICS, 2019, 93
  • [7] New insights into the suitability of the third dimension for visualizing multivariate/multidimensional data: A study based on loss of quality quantification
    Gracia, Antonio
    Gonzalez, Santiago
    Robles, Victor
    Menasalvas, Ernestina
    von Landesberger, Tatiana
    [J]. INFORMATION VISUALIZATION, 2016, 15 (01) : 3 - 30
  • [8] 2. Immersive Analytics: Time to Reconsider the Value of 3D for Information Visualisation
    Marriott, Kim
    Chen, Jian
    Hlawatsch, Marcel
    Itoh, Takayuki
    Nacenta, Miguel A.
    Reina, Guido
    Stuerzlinger, Wolfgang
    [J]. IMMERSIVE ANALYTICS, 2018, 11190 : 25 - 55
  • [9] DXR: A Toolkit for Building Immersive Data Visualizations
    Sicat, Ronell
    Li, Jiabao
    Choi, JunYoung
    Cordeil, Maxime
    Jeong, Won-Ki
    Bach, Benjamin
    Pfister, Hanspeter
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2019, 25 (01) : 715 - 725
  • [10] DatAR: Your brain, your data, on your desk - A research proposal
    Tanhaei, Ghazaleh
    Hardman, Lynda
    Huerst, Wolfgang
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY (AIVR), 2019, : 138 - 143
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