What Players Want: Information Needs of Players on Post-Game Visualizations

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F21%3A00121619" target="_blank" >RIV/00216224:14330/21:00121619 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1145/3411764.3445174" target="_blank" >http://dx.doi.org/10.1145/3411764.3445174</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3411764.3445174" target="_blank" >10.1145/3411764.3445174</a>

Result language

angličtina

Original language name

What Players Want: Information Needs of Players on Post-Game Visualizations

Original language description

With the rise of competitive online gaming and esports, players’ ability to review, reflect upon, and improve their in-game performance has become important. Post-play visualizations are key for such improvements. Despite the increased interest in visualizations of gameplay, research specifically informing the design of player-centric visualizations is currently limited. As with all visualizations, their design should, however, be guided by a thorough understanding of the goals to be achieved and which information is important and why. This paper reports on a mixed-methods study exploring the information demands posed by players on post-play visualizations and the goals they pursue with such visualizations. We focused on three genres that enjoy great popularity within the competitive gaming scene. Our results provide useful guideposts on which data to focus on by offering an overview of the relevance of different in-game metrics across genres. Lastly, we outline high-level implications for the design of post-play visualizations.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

CHI Conference on Human Factors in Computing Systems (CHI '21)

ISBN

9781450380966

ISSN

—

e-ISSN

—

Number of pages

13

Pages from-to

1-13

Publisher name

Association for Computing Machinery

Place of publication

New York

Event location

New York

Event date

Jan 1, 2021

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

000758168002002