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CHI2023顶会

Replication and Extension of Video Game Demand Scale with a Turkish-Speaking Gamer Population

Mehmet Kosa, Nicholas David Bowman

2023年份
6被引次数
1顶会引用

摘要

The current study is designed to replicate and validate the video game demand scale (VGDS) as a metric for understanding player experiences in video games, while also expanding the application space of that scale to an underrepresented population. Using available materials from prior VGDS research, we created the Video Game Demand Scale-Turkish (VGDS-T). The translated metric was administered online to a volunteer sample of self-identifed Turkishspeaking gamers (N = 184), where participants answered questions about perceived cognitive, emotional, exertional, controller, and social demands of their most recent game, as well as other game evaluations (as validation checks). Confrmatory factor analysis showed that the translated fve-factor scale was a strong ft to the original 26-item scale (VGDS-English) with nominally stronger ft for a 22-item scale (VGDS-Mandarin). Therefore, we both validated the fve-factor VGDS on a novel population and provided a translated the metric for researcher and industry use with Turkishspeaking gamers.

• Human-centered computing → Human computer interaction (HCI); Empirical studies in HCI.

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