Investigating Trading Mechanisms as a Driver for User Experience in Racing Games

Georg Arbesser-Rastburg*, Thomas Olip, Johanna Pirker

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

The exchange of digital goods has become a significant aspect of the global economy, with digital products offering inexpensive reproduction and distribution. In-game objects, a type of digital currency, have emerged as tradable commodities within gaming ecosystems. Despite extensive research on various aspects of digital goods, little attention has been given to the impact of in-game trading mechanisms on user experience. This paper presents a study aimed at evaluating the influence of trading systems on user experience in a racing game context. We developed a simple racing game featuring an in-game market for buying and selling car variants and conducted an A/B study comparing user experiences between groups utilizing the trading system and those unlocking cars through race completion. Our findings suggest that while the trading system did not significantly alter the overall user experience, further exploration of diverse trading approaches may offer insights into their impact on user engagement.

Original languageEnglish
Title of host publicationProceedings of the 2024 IEEE Conference on Games, CoG 2024
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9798350350678
DOIs
Publication statusPublished - 28 Aug 2024
Event6th Annual IEEE Conference on Games, CoG 2024 - Milan, Italy
Duration: 5 Aug 20248 Aug 2024

Publication series

NameIEEE Conference on Computatonal Intelligence and Games, CIG
ISSN (Print)2325-4270
ISSN (Electronic)2325-4289

Conference

Conference6th Annual IEEE Conference on Games, CoG 2024
Abbreviated titleCoG 2024
Country/TerritoryItaly
CityMilan
Period5/08/248/08/24

Keywords

  • racing game
  • trading
  • user experience

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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