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Human-centered Algorithm Engineering:
Graph and Map Visualization (Research Project)

Funding Organisation: The Austrian Science Fund, FWF
Project Number: FWF P 31119
Duration: 11/2018 - 04/2022

Project Team

Sujoy Bhore (Postdoc until 03/2020)
Guangping Li (Doctoral Student)
Anaïs Villedieu (Doctoral Student)
Martin Nöllenburg (Professor, Principal Investigator)

Topic

Human-centered algorithm engineering is an unconventional new paradigm in algorithmics that puts, for the first time, human factors into the focus of algorithm engineering, a methodology that is based on a cycle of design, analysis, implementation, and experimental evaluation of algorithms. Unlike other fields in computer science that investigate the interplay of humans and computers, our focus is on the symbiosis of human expert users and computers on the fundamental level of algorithms. We combine the mathematical accuracy and computational power of formal algorithmics with the creative power of the human mind in order to provide more effective and efficient algorithms for currently insufficiently solved and ill-defined algorithmic problems. Human-centered algorithms aim to produce solutions of better quality with faster overall performance, and higher user satisfaction. The project has two main goals: (i) establishing theoretical foundations, models of computation, and suitable evaluation methods and (ii) showing the practicality and benefits of the new paradigm for several prime examples of human-centered algorithmic problems that lack satisfying traditional algorithmic solutions in graph drawing and computational cartography.

Publications

14 results
2020
[14]A Survey on Transit Map Layout – from Design, Machine, and Human Perspectives
Hsiang-Yun Wu, Benjamin Niedermann, Shigeo Takahashi, Maxwell J. Roberts, Martin Nöllenburg
Computer Graphics Forum, volume 39, number 3, pages 619–646, 2020.
[bibtex] [pdf] [doi]
[13]Route Schematization with Landmarks
Marcelo Galvão, Jakub Krukar, Martin Nöllenburg, Angela Schwering
J. Spatial Information Science, volume 21, 2020.
[bibtex] [pdf] [doi]
[12]Mixed Labeling: Integrating Internal and External Labels
Ladislav Čmolík, Václav Pavlovec, Hsiang-Yun Wu, Martin Nöllenburg
IEEE Trans. Visualization and Computer Graphics, 2020.
[bibtex] [pdf] [doi]
[11]Parameterized Algorithms for Book Embedding Problems
Sujoy Bhore, Robert Ganian, Fabrizio Montecchiani, Martin Nöllenburg
J. Graph Algorithms Appl., volume 24, number 4, pages 603–620, 2020.
[bibtex] [doi]
[10]The Turing Test for Graph Drawing Algorithms
Helen C. Purchase, Daniel Archambault, Stephen Kobourov, Martin Nöllenburg, Sergey Pupyrev, Hsiang-Yun Wu
Graph Drawing and Network Visualization (GD'20) (David Auber, Pavel Valtr, eds.), 2020, Springer.
[bibtex] [pdf]
[9]Towards Data-Driven Multilinear Metro Maps
Soeren Nickel, Martin Nöllenburg
Diagrammatic Representation and Inference (DIAGRAMS'20) (Ahti-Veikko Pietarinen, Peter Chapman, Leonie Bosveld de Smet, Valeria Giardino, James Corter, Sven Linker, eds.), volume 12169 of LNAI, pages 153–161, 2020, Springer.
[bibtex] [pdf] [doi]
[8]An Algorithmic Study of Fully Dynamic Independent Sets for Map Labeling
Sujoy Bhore, Guangping Li, Martin Nöllenburg
Algorithms (ESA'20) (Fabrizio Grandoni, Peter Sanders, Grzegorz Herman, eds.), volume 173 of LIPIcs, pages 19:1–19:24, 2020, Schloss Dagstuhl – Leibniz-Zentrum für Informatik.
[bibtex] [pdf] [doi]
[7]Parameterized Algorithms for Queue Layouts
Sujoy Bhore, Robert Ganian, Fabrizio Montecchiani, Martin Nöllenburg
Graph Drawing and Network Visualization (GD'20) (David Auber, Pavel Valtr, eds.), 2020, Springer.
[bibtex] [pdf]
2019
[6]Metabopolis: scalable network layout for biological pathway diagrams in urban map style
Hsiang-Yun Wu, Martin Nöllenburg, Filipa L. Sousa, Ivan Viola
BMC Bioinformatics, volume 20, pages 187, 2019.
[bibtex] [doi]
[5]Guidelines for Experimental Algorithmics: A Case Study in Network Analysis
Eugenio Angriman, Alexander van der Grinten, Moritz von Looz, Henning Meyerhenke, Martin Nöllenburg, Maria Predari, Charilaos Tzovas
Algorithms, volume 12, number 7, pages 127:1–127:37, 2019.
[bibtex] [pdf] [doi]
[4]Computing Stable Demers Cartograms
Soeren Nickel, Max Sondag, Wouter Meulemans, Markus Chimani, Stephen Kobourov, Jaakko Peltonen, Martin Nöllenburg
Graph Drawing and Network Visualization (GD'19) (Daniel Archambault, Csaba D. Tóth, eds.), volume 11904 of LNCS, pages 46–60, 2019, Springer.
[bibtex] [pdf] [doi]
[3]Exploring Semi-Automatic Map Labeling
Fabian Klute, Guangping Li, Raphael Löffler, Martin Nöllenburg, Manuela Schmidt
Advances in Geographic Information Systems (SIGSPATIAL'19), pages 13–22, 2019, ACM.
[bibtex] [pdf] [doi]
[2]Parameterized Algorithms for Book Embedding Problems
Sujoy Bhore, Robert Ganian, Fabrizio Montecchiani, Martin Nöllenburg
Graph Drawing and Network Visualization (GD'19) (Daniel Archambault, Csaba D. Tóth, eds.), volume 11904 of LNCS, pages 365–378, 2019, Springer.
[bibtex] [pdf] [doi]
2018
[1]A Visual Comparison of Hand-Drawn and Machine-Generated Human Metabolic Pathways
Hsiang-Yun Wu, Martin Nöllenburg, Ivan Viola
Eurographics Conference on Visualization (EuroVis'18) – Posters (Anna Puig, Renata Raidou, eds.), pages 57–59, 2018.
[bibtex] [doi]

News

  • Martin Nöllenburg: promotion to Full Professor

    Martin Nöllenburg: promotion to Full Professor

    2020-12-17
    By December 1st, 2020, our colleague Martin Nöllenburg has been promoted to Full Professor for Graph and Geometric Algorithms.  Martin has …Read More »
  • Martin Kronegger wins the Best Teaching Award 2020

    Martin Kronegger wins the Best Teaching Award 2020

    2020-10-23
    Congratulations to Martin Kronegger who received a Best Teaching Award 2020 from TU Wien. The Algorithms and Complexity group is …Read More »
  • Welcome to our Feodor Lynen Fellow Dr. Manuel Sorge

    Welcome to our Feodor Lynen Fellow Dr. Manuel Sorge

    2020-10-12
    On October 1, 2020, Dr. Manuel Sorge has joined the Algorithms and Complexity group with a prestigious Feodor Lynen postdoc …Read More »
  • TU Wien students excel at the 2020 Graph Drawing Contest

    TU Wien students excel at the 2020 Graph Drawing Contest

    2020-10-01
    The 27th annual Graph Drawing Contest, held (virtually) in conjunction with the 28th International Symposium on Graph Drawing and Network …Read More »
  • Best Paper Award at CP’2020

    Best Paper Award at CP’2020

    2020-09-11
    Tomáš Peitl and Stefan Szeider won the Best Paper Award at the main track of CP'2020, the 26th International Conference on Principles …Read More »

News archive

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