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 (Autor:in, eingeladen)
, Simone Kriglstein (Autor:in, eingeladen)

Eindhoven University of Technology

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

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.

Originalsprache	Englisch
Titel	Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play (CHI PLAY ´20 EA)
Seitenumfang	2
DOIs	https://doi.org/10.1145/3383668.3419849
Publikationsstatus	Veröffentlicht - 2020
Veranstaltung	Annual Symposium on Computer-Human Interaction in Play (CHI PLAY' 20) - Dauer: 2 Nov. 2020 → 4 Nov. 2020

Konferenz

Konferenz	Annual Symposium on Computer-Human Interaction in Play (CHI PLAY' 20)
Zeitraum	2/11/20 → 4/11/20

Research Field

Former Research Field - Experience Business Transformation

Schlagwörter

games research
information visualization
data analytics

Zugriff auf Dokument

10.1145/3383668.3419849Lizenz: Nicht angegeben

Diese Publikation zitieren

@inproceedings{89802bdb54414a76bc4983b3c234a577,

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 = "games research, information visualization, data analytics, games research, information visualization, data analytics",

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

year = "2020",

doi = "10.1145/3383668.3419849",

language = "English",

isbn = "978-1-4503-7587-0",

booktitle = "Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play (CHI PLAY ´20 EA)",

note = "Annual Symposium on Computer-Human Interaction in Play (CHI PLAY' 20) ; Conference date: 02-11-2020 Through 04-11-2020",

}

TY - GEN

T1 - Masterclass on Information Visualization for Games Research

A2 - Wallner, Günter

A2 - Kriglstein, Simone

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - games research

KW - information visualization

KW - data analytics

KW - games research

KW - information visualization

KW - data analytics

U2 - 10.1145/3383668.3419849

DO - 10.1145/3383668.3419849

M3 - Conference Proceedings with Oral Presentation

SN - 978-1-4503-7587-0

BT - Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play (CHI PLAY ´20 EA)

T2 - Annual Symposium on Computer-Human Interaction in Play (CHI PLAY' 20)

Y2 - 2 November 2020 through 4 November 2020

ER -

Masterclass on Information Visualization for Games Research

Abstract

Konferenz

Research Field

Schlagwörter

Zugriff auf Dokument

Fingerprint

Diese Publikation zitieren