Learn to Play: From Knowledge to Repeated Gameplay

Gen Yih Liao, Tzu Ling Huang, Hsin Yi Huang, Alan R. Dennis, Yu Ting Huang, Ching I. Teng

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Online games are popular computer applications around the globe. Games are frequently designed to require extensive in-game knowledge to attain in-game goals, so it may be central to continued gameplay. Little is known about how players seek knowledge, internalize knowledge, and subsequently use it to attain in-game goals. We used theories of flow and learning to build a theoretical framework and examined it by using responses from more than four thousand players. We found that encouraging players to seek and internalize in-game knowledge is an effective strategy to increase gameplay. Interestingly, learning satisfaction was more important than knowledge internalization in predicting goal progress, showing a novel insight for game providers to nudge their players in their knowledge searching. We concluded that asking players to search and internalize in-game knowledge may be a more effective strategy than creating their focused immersion to encourage repeated gameplay.

原文???core.languages.en_GB???
主出版物標題Proceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024
編輯Tung X. Bui
發行者IEEE Computer Society
頁面4663-4672
頁數10
ISBN(電子)9780998133171
出版狀態已出版 - 2024
事件57th Annual Hawaii International Conference on System Sciences, HICSS 2024 - Honolulu, United States
持續時間: 3 1月 20246 1月 2024

出版系列

名字Proceedings of the Annual Hawaii International Conference on System Sciences
ISSN(列印)1530-1605

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???event.eventtypes.event.conference???57th Annual Hawaii International Conference on System Sciences, HICSS 2024
國家/地區United States
城市Honolulu
期間3/01/246/01/24

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