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Personal Cloud Storage Services Evaluation Model Based on User Experience

机译：基于用户体验的个人云存储服务评估模型

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With the wake of the growing demand for network storage of users, a large number of personal cloud storage service platforms have emerged. Only by optimizing the user experience to maintain user stickiness and attract potential users can PCSSs providers take advantage of market opportunities and gain a strong competitive edge. Focusing on a total of 16 hierarchical dimensions of user experience of personal cloud storage services including overall experience, its elements and sub-elements, this paper combines user experience quantification model and cloud storage service evaluation to construct four quantitative models, including compensatory models (simple linear model and prospect theory value model) and non- compensatory models (conjunctive models and dis junctive models). Baidu, one of the mainstream cloud storage service providers in China, was selected as a case study to verify each model. Results show that the prospect theory value model has a relatively higher performance in regard to fit of goodness. The results of the study are expected to provide a reference for service design, helping service providers to understand users more intuitively and to allocate resources scientifically and efficiently.
机译：随着用户网络存储需求的增长，涌现出大量的个人云存储服务平台。只有优化用户体验以保持用户粘性并吸引潜在用户，PCSS提供者才能利用市场机会并获得强大的竞争优势。本文针对个人云存储服务的用户体验的总共16个层次维度（包括整体体验，其元素和子元素），结合用户体验量化模型和云存储服务评估，构建了四个量化模型，包括补偿模型（简单模型）线性模型和前景理论价值模型）和非补偿模型（合取模型和析取模型）。百度是中国主流云存储服务提供商之一，被选为案例研究来验证每种模型。结果表明，前景理论价值模型在善良度方面具有相对较高的性能。研究结果有望为服务设计提供参考，帮助服务提供商更直观地了解用户并科学有效地分配资源。

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