Aggregated visualization of playtesting data

Günter Wallner, Nour Halabi, Pejman Mirza-Babaei

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

41 Citaten (Scopus)
1 Downloads (Pure)

Samenvatting

Playtesting is a key component in the game development process aimed at improving the quality of games through the collection of gameplay data and identification of design issues. Visualization techniques are currently being employed to help integrate quantitative and qualitative data. Despite that, two existing challenges are to determine the level of detail to be presented to developers based on their needs and to effectively communicate the collected data so that informed design changes can be reached. In this paper, we first propose an aggregated visualization technique that makes use of clustering, territory tessellation, and trajectory aggregation to simultaneously display mixed playtesting data. Secondly, to assess the usefulness of our technique we evaluate it through interviews with professional game developers and compare it to a non-aggregated visualization. The results of this study also provide an important contribution towards identifying areas of improvement in the portrayal of gameplay data.

Originele taal-2Engels
TitelCHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Plaats van productieNew York
UitgeverijAssociation for Computing Machinery, Inc
Aantal pagina's12
ISBN van geprinte versie978-1-4503-5970-2
DOI's
StatusGepubliceerd - 2 mei 2019
EvenementAnnual ACM Conference on Human Factors in Computing Systems (CHI '19) - Scottish Event Campus, Glasgow, Verenigd Koninkrijk
Duur: 4 mei 20199 mei 2019
Congresnummer: 37
https://chi2019.acm.org

Congres

CongresAnnual ACM Conference on Human Factors in Computing Systems (CHI '19)
Verkorte titelCHI 2019
Land/RegioVerenigd Koninkrijk
StadGlasgow
Periode4/05/199/05/19
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