Abstract

The use of digital technologies in sports is increasing. The current paper deals with the technology acceptance of users of a mixed-reality sport technology called Zwift. The purpose of this study is to identify distinct profiles of Zwift users based on indicators of technology acceptance. Latent profile analysis (n = 877) identified three distinct latent profiles representing subgroups characterized by moderate, high and very high acceptance indicators. Results of the multinomial regression show that individuals with higher perceptions of the basic psychological need for autonomy and relatedness as well as individuals with high data privacy perceptions are more likely to be classified in the very high and high acceptance profiles than in the moderate acceptance profile. The results also show that older individuals are more likely to be classified in the moderate acceptance profile than in the very high acceptance profile even though odds ratio is rather low. The high and very high acceptance profiles also show higher behavioural intention to use Zwift in the future than the moderate acceptance profile.

中文翻译：

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探索混合现实运动技术 Zwift 用户的技术接受模式：技术接受的前因和后果

摘要

数字技术在体育运动中的使用正在增加。当前的论文讨论了名为 Zwift 的混合现实运动技术用户的技术接受程度。本研究的目的是根据技术接受度指标来识别 Zwift 用户的不同概况。潜在概况分析（n  = 877）确定了三个不同的潜在概况，代表以中等、高和极高接受度指标为特征的亚组。多项回归的结果表明，对自主性和关联性的基本心理需求认知较高的个体以及具有较高数据隐私认知的个体更有可能被分类为极高和高接受度概况，而不是中等接受度概况。结果还表明，尽管比值比相当低，但老年人更有可能被归类为中等接受度，而不是非常高接受度。高和非常高的接受度概况也显示出比中等接受度概况更高的未来使用 Zwift 的行为意图。