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游戏的萨尼-霍金斯成风险潜力 (SHARP-G) 尺度的发展:国际德尔菲研究
Nirav Saini1,2, Cam Adair3, Daniel L King4
11Addictive Behaviours Lab, Faculty of Arts, University of Calgary, Calgary, Alberta, Canada.
Journal of behavioral addictions
|June 3, 2024
概括
研究人员开发了赛尼-霍金斯游戏成风险潜力尺度 (SHARP-G) 来评估游戏成. 该工具确定了导致游戏障碍的25个结构特征,有助于评估游戏风险潜力.
科学领域:
- 心理学 心理学 心理学
- 游戏设计 游戏设计
- 数字健康数字健康
背景情况:
- 游戏行业的快速扩张需要了解导致游戏障碍 (GD) 的因素.
- 识别与个体游戏玩家特征相互作用的特定游戏特征对于解决GD至关重要.
- 这项研究旨在开发一种工具来测量电子游戏的成潜力.
研究的目的:
- 创建一个评估工具来衡量不同游戏的成潜力.
- 巩固国际专家和生活经验对游戏成的观点.
- 识别可能促进游戏障碍的游戏结构特征.
主要方法:
- 在一个由研究人员,临床医生和有实践经验的个人组成的国际小组中,采用了德尔菲方法.
- 为了在游戏特征上达成共识,进行了两轮调查.
- 专家小组成员就特定游戏结构的成风险提供了多方面的观点.
主要成果:
- 在25个结构特征上达成共识,这些特征有助于潜在的成游戏模式.
- 这些特征被提炼成一个23项评估工具,即赛尼-霍金斯游戏成风险潜力尺度 (SHARP-G).
- 该规模包括五个类别:社会,博类功能,个人投资,可访问性和世界设计.
结论:
- SHARP-G尺度提供了一个总得分,表明游戏的成风险水平.
- 一个案例研究表明,该尺度能够将得分与感知游戏风险相关联.
- 虽然需要进一步验证,但SHARP-G在评估游戏体验和产品方面显示出重大前景.
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