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

Georg Arbesser-Rastburg*, Thomas Olip, Johanna Pirker

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

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.

Originalspracheenglisch
TitelProceedings of the 2024 IEEE Conference on Games, CoG 2024
Herausgeber (Verlag)IEEE Computer Society
Seitenumfang4
ISBN (elektronisch)9798350350678
DOIs
PublikationsstatusVeröffentlicht - 28 Aug. 2024
Veranstaltung6th Annual IEEE Conference on Games, CoG 2024 - Milan, Italien
Dauer: 5 Aug. 20248 Aug. 2024

Publikationsreihe

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

Konferenz

Konferenz6th Annual IEEE Conference on Games, CoG 2024
KurztitelCoG 2024
Land/GebietItalien
OrtMilan
Zeitraum5/08/248/08/24

ASJC Scopus subject areas

  • Artificial intelligence
  • Computergrafik und computergestütztes Design
  • Maschinelles Sehen und Mustererkennung
  • Human-computer interaction
  • Software

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