Masterclass on Information Visualization for Games Research

Günter Wallner; Simone Kriglstein

doi:10.1145/3383668.3419849

Masterclass on Information Visualization for Games Research

Günter Wallner, Simone Kriglstein

Systemic Change

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

This CHI PLAY 2020 masterclass offers an introduction into information visualization and how it can assist in the analysis and communication of the wide variety of data gathered in games-related research. The goal is to provide an overview of easy-to-apply visualizations for both quantitative and qualitative data frequently used within the CHI PLAY community, including survey, textual, relational, and spatial data. It is intended for everyone interested in how to represent and communicate data in an easily-understandable way.

Original language	English
Title of host publication	CHI PLAY 2020 - Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play
Publisher	Association for Computing Machinery, Inc
Pages	3-4
Number of pages	2
ISBN (Electronic)	9781450375870
DOIs	https://doi.org/10.1145/3383668.3419849
Publication status	Published - 2 Nov 2020
Event	7th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2020 - Virtual, Online, Canada Duration: 2 Nov 2020 → 4 Nov 2020 https://chiplay.acm.org/2020/

Conference

Conference	7th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2020
Country/Territory	Canada
City	Virtual, Online
Period	2/11/20 → 4/11/20
Other	Virtual event
Internet address	https://chiplay.acm.org/2020/

Keywords

Data analytics
Games research
Information visualization

Access to Document

10.1145/3383668.3419849

Cite this

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title = "Masterclass on Information Visualization for Games Research",

abstract = "This CHI PLAY 2020 masterclass offers an introduction into information visualization and how it can assist in the analysis and communication of the wide variety of data gathered in games-related research. The goal is to provide an overview of easy-to-apply visualizations for both quantitative and qualitative data frequently used within the CHI PLAY community, including survey, textual, relational, and spatial data. It is intended for everyone interested in how to represent and communicate data in an easily-understandable way. ",

keywords = "Data analytics, Games research, Information visualization",

author = "G{\"u}nter Wallner and Simone Kriglstein",

year = "2020",

month = nov,

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doi = "10.1145/3383668.3419849",

language = "English",

pages = "3--4",

booktitle = "CHI PLAY 2020 - Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play",

publisher = "Association for Computing Machinery, Inc",

address = "United States",

note = "7th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2020 ; Conference date: 02-11-2020 Through 04-11-2020",

url = "https://chiplay.acm.org/2020/",

}

Wallner, G & Kriglstein, S 2020, Masterclass on Information Visualization for Games Research. in CHI PLAY 2020 - Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play. Association for Computing Machinery, Inc, pp. 3-4, 7th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2020, Virtual, Online, Canada, 2/11/20. https://doi.org/10.1145/3383668.3419849

Masterclass on Information Visualization for Games Research. / Wallner, Günter; Kriglstein, Simone.

CHI PLAY 2020 - Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play. Association for Computing Machinery, Inc, 2020. p. 3-4.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Y2 - 2 November 2020 through 4 November 2020

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Masterclass on Information Visualization for Games Research

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Conference

Keywords

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