A spatiotemporal visualization approach for the analysis of gameplay data

Günter Wallner; Simone Kriglstein

doi:10.1145/2207676.2208558

A spatiotemporal visualization approach for the analysis of gameplay data

Günter Wallner^*
, Simone Kriglstein

^*Corresponding author for this work

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

Original language	English
Title of host publication	Conference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012
Pages	1115-1124
Number of pages	10
DOIs	https://doi.org/10.1145/2207676.2208558
Publication status	Published - 2012
Externally published	Yes
Event	30th ACM Conference on Human Factors in Computing Systems, CHI 2012 - Austin, TX, United States Duration: 05 May 2012 → 10 May 2012

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	30th ACM Conference on Human Factors in Computing Systems, CHI 2012
Country/Territory	United States
City	Austin, TX
Period	05.05.2012 → 10.05.2012

Fields of science

102037 Visualisation
102013 Human-computer interaction

Access to Document

10.1145/2207676.2208558

Cite this

@inproceedings{eaaf10cebae047beab23c2b04df38cce,

title = "A spatiotemporal visualization approach for the analysis of gameplay data",

keywords = "Clustering, Gameplay visualization, Player behavior, Playtesting, Time-dependent visualization",

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

year = "2012",

doi = "10.1145/2207676.2208558",

language = "English",

isbn = "9781450310154",

series = "Conference on Human Factors in Computing Systems - Proceedings",

pages = "1115--1124",

booktitle = "Conference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012",

note = "30th ACM Conference on Human Factors in Computing Systems, CHI 2012 ; Conference date: 05-05-2012 Through 10-05-2012",

}

Wallner, G & Kriglstein, S 2012, A spatiotemporal visualization approach for the analysis of gameplay data. in Conference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012. Conference on Human Factors in Computing Systems - Proceedings, pp. 1115-1124, 30th ACM Conference on Human Factors in Computing Systems, CHI 2012, Austin, TX, United States, 05.05.2012. https://doi.org/10.1145/2207676.2208558

A spatiotemporal visualization approach for the analysis of gameplay data. / Wallner, Günter; Kriglstein, Simone.
Conference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012. 2012. p. 1115-1124 (Conference on Human Factors in Computing Systems - Proceedings).

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

TY - GEN

T1 - A spatiotemporal visualization approach for the analysis of gameplay data

AU - Wallner, Günter

AU - Kriglstein, Simone

PY - 2012

Y1 - 2012

KW - Clustering

KW - Gameplay visualization

KW - Player behavior

KW - Playtesting

KW - Time-dependent visualization

UR - https://www.scopus.com/pages/publications/84862095068

U2 - 10.1145/2207676.2208558

DO - 10.1145/2207676.2208558

M3 - Conference proceedings

AN - SCOPUS:84862095068

SN - 9781450310154

T3 - Conference on Human Factors in Computing Systems - Proceedings

SP - 1115

EP - 1124

BT - Conference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012

T2 - 30th ACM Conference on Human Factors in Computing Systems, CHI 2012

Y2 - 5 May 2012 through 10 May 2012

ER -

A spatiotemporal visualization approach for the analysis of gameplay data

Publication series

Conference

Fields of science

Access to Document

Other files and links

Cite this