TY - GEN
T1 - Replication and Extension of Video Game Demand Scale with a Turkish-Speaking Gamer Population
AU - Kosa, Mehmet
AU - Bowman, Nicholas David
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/4/19
Y1 - 2023/4/19
N2 - 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-identified Turkish-speaking 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). Confirmatory factor analysis showed that the translated five-factor scale was a strong fit to the original 26-item scale (VGDS-English) with nominally stronger fit for a 22-item scale (VGDS-Mandarin). Therefore, we both validated the five-factor VGDS on a novel population and provided a translated the metric for researcher and industry use with Turkish-speaking gamers.
AB - 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-identified Turkish-speaking 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). Confirmatory factor analysis showed that the translated five-factor scale was a strong fit to the original 26-item scale (VGDS-English) with nominally stronger fit for a 22-item scale (VGDS-Mandarin). Therefore, we both validated the five-factor VGDS on a novel population and provided a translated the metric for researcher and industry use with Turkish-speaking gamers.
KW - demand
KW - interactivity
KW - scale development
KW - user experience
KW - video games
UR - http://www.scopus.com/inward/record.url?scp=85148314404&partnerID=8YFLogxK
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U2 - 10.1145/3544548.3580960
DO - 10.1145/3544548.3580960
M3 - Conference contribution
AN - SCOPUS:85148314404
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Y2 - 23 April 2023 through 28 April 2023
ER -