Visualizations for retrospective analysis of battles in team-based combat games: a user study

Guenter Wallner; Simone Kriglstein

doi:10.1145/2967934.2968093

Visualizations for retrospective analysis of battles in team-based combat games: a user study

Guenter Wallner, Simone Kriglstein

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

31 Citations (Scopus)

1 Downloads (Pure)

Abstract

Team-based combat games rank among the most popular genres of online games. Their competitive and skill-based gameplay requires players to develop new and constantly refine existing skills in order to succeed and stay ahead of the game. Players of such games are thus showing increased interest in training visualizations which allow them to review their own gameplay, to learn from others, and assist them in building their skills. This research contributes to the emerging area of player-centric visualization by evaluating three different types of visualizations geared toward retrospective analysis of team battles. For that purpose an online survey was developed and disseminated to the player community. Our results, based on 41 responses, provide insights into how the assessed training visualizations score in terms of informational content and design, player preference, how correctly the visualizations can be interpreted, and how suitable they are for different analysis purposes.

Original language	English
Title of host publication	CHI PLAY 2016 - Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc
Pages	22-32
Number of pages	11
ISBN (Electronic)	978-1-4503-4456-2
DOIs	https://doi.org/10.1145/2967934.2968093
Publication status	Published - 16 Oct 2016
Externally published	Yes
Event	3rd ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2016 - Austin, United States Duration: 16 Oct 2016 → 19 Oct 2016 Conference number: 3 https://chiplay.acm.org/2016

Conference

Conference	3rd ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2016
Abbreviated title	CHI PLAY 2016
Country/Territory	United States
City	Austin
Period	16/10/16 → 19/10/16
Internet address	https://chiplay.acm.org/2016

Keywords

Gameplay analysis
Information visualization
Player-centric visualization
Team-based games
User study

Access to Document

10.1145/2967934.2968093

Cite this

@inproceedings{c8702e821f0e40b4bc39e8941d634419,

title = "Visualizations for retrospective analysis of battles in team-based combat games: a user study",

abstract = "Team-based combat games rank among the most popular genres of online games. Their competitive and skill-based gameplay requires players to develop new and constantly refine existing skills in order to succeed and stay ahead of the game. Players of such games are thus showing increased interest in training visualizations which allow them to review their own gameplay, to learn from others, and assist them in building their skills. This research contributes to the emerging area of player-centric visualization by evaluating three different types of visualizations geared toward retrospective analysis of team battles. For that purpose an online survey was developed and disseminated to the player community. Our results, based on 41 responses, provide insights into how the assessed training visualizations score in terms of informational content and design, player preference, how correctly the visualizations can be interpreted, and how suitable they are for different analysis purposes.",

keywords = "Gameplay analysis, Information visualization, Player-centric visualization, Team-based games, User study",

author = "Guenter Wallner and Simone Kriglstein",

year = "2016",

month = oct,

day = "16",

doi = "10.1145/2967934.2968093",

language = "English",

pages = "22--32",

booktitle = "CHI PLAY 2016 - Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play",

publisher = "Association for Computing Machinery, Inc",

address = "United States",

note = "3rd ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2016, CHI PLAY 2016 ; Conference date: 16-10-2016 Through 19-10-2016",

url = "https://chiplay.acm.org/2016",

}

Wallner, G & Kriglstein, S 2016, Visualizations for retrospective analysis of battles in team-based combat games: a user study. in CHI PLAY 2016 - Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play. Association for Computing Machinery, Inc, New York, pp. 22-32, 3rd ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2016, Austin, Texas, United States, 16/10/16. https://doi.org/10.1145/2967934.2968093

Visualizations for retrospective analysis of battles in team-based combat games: a user study. / Wallner, Guenter; Kriglstein, Simone.
CHI PLAY 2016 - Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play. New York: Association for Computing Machinery, Inc, 2016. p. 22-32.

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

TY - GEN

T1 - Visualizations for retrospective analysis of battles in team-based combat games

T2 - 3rd ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI PLAY 2016

AU - Wallner, Guenter

AU - Kriglstein, Simone

N1 - Conference code: 3

PY - 2016/10/16

Y1 - 2016/10/16

N2 - Team-based combat games rank among the most popular genres of online games. Their competitive and skill-based gameplay requires players to develop new and constantly refine existing skills in order to succeed and stay ahead of the game. Players of such games are thus showing increased interest in training visualizations which allow them to review their own gameplay, to learn from others, and assist them in building their skills. This research contributes to the emerging area of player-centric visualization by evaluating three different types of visualizations geared toward retrospective analysis of team battles. For that purpose an online survey was developed and disseminated to the player community. Our results, based on 41 responses, provide insights into how the assessed training visualizations score in terms of informational content and design, player preference, how correctly the visualizations can be interpreted, and how suitable they are for different analysis purposes.

AB - Team-based combat games rank among the most popular genres of online games. Their competitive and skill-based gameplay requires players to develop new and constantly refine existing skills in order to succeed and stay ahead of the game. Players of such games are thus showing increased interest in training visualizations which allow them to review their own gameplay, to learn from others, and assist them in building their skills. This research contributes to the emerging area of player-centric visualization by evaluating three different types of visualizations geared toward retrospective analysis of team battles. For that purpose an online survey was developed and disseminated to the player community. Our results, based on 41 responses, provide insights into how the assessed training visualizations score in terms of informational content and design, player preference, how correctly the visualizations can be interpreted, and how suitable they are for different analysis purposes.

KW - Gameplay analysis

KW - Information visualization

KW - Player-centric visualization

KW - Team-based games

KW - User study

UR - http://www.scopus.com/inward/record.url?scp=84995480465&partnerID=8YFLogxK

U2 - 10.1145/2967934.2968093

DO - 10.1145/2967934.2968093

M3 - Conference contribution

AN - SCOPUS:84995480465

SP - 22

EP - 32

BT - CHI PLAY 2016 - Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play

PB - Association for Computing Machinery, Inc

CY - New York

Y2 - 16 October 2016 through 19 October 2016

ER -

Visualizations for retrospective analysis of battles in team-based combat games: a user study

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this