基于扎根理论的未来智能产品情感设计模型

Chiju Chao, Yu Chen, Hongfei Wu, Wenxuan Wu, Zhijie Yi, Liang Xu, Zhiyong Fu
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引用次数: 0

摘要

最近,智能产品不仅展示了更多的功能和技术能力,而且还呈现出情感表达的趋势。情感设计在智能产品中起着至关重要的作用,它不仅影响用户对产品的感知和评价,而且促进用户与产品之间的协同沟通。在未来,智能产品的情感设计需要被视为一个重要的综合设计问题,而不是简单地针对一个特定的元素。它应该考虑诸如设计系统、价值、商业策略、技术能力、设计伦理和文化责任等因素。然而,目前还缺乏结合这些元素的设计模型。目前,针对智能产品的情感化设计有很多不同角度的实践。它们为我们提供了一个基于大量设计案例研究建立一个全面的设计模型的机会。因此,本研究采用标准化的扎根理论方法对80种智能产品进行调查,并对12位设计师进行访谈,逐步编码并生成设计模型。通过编码过程,本研究提取了547个节点,逐步形成10个类别,最终得到一个包含5个连续步骤的设计模型。该模型包括用户需求、概念定义、设计构思、设计实施和评估,适用于智能产品中大多数当前和未来的情感设计问题。
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An Emotional Design Model for Future Smart Product Based on Grounded Theory
Recently, smart products have not only demonstrated more functionality and technical capabilities but have also shown a trend towards emotional expression. Emotional design plays a crucial role in smart products as it not only influences users’ perception and evaluation of the product but also promotes collaborative communication between users and the product. In the future, emotional design of smart products needs to be regarded as an important comprehensive design issue, rather than simply targeting a specific element. It should consider factors such as design systems, values, business strategies, technical capabilities, design ethics, and cultural responsibilities. However, currently, there is a lack of a design model that combines these elements. Currently, there are numerous practices in emotional design for smart products from different perspectives. They provide us an opportunity to build a comprehensive design model based on a large number of design case studies. Therefore, this study employed a standardized grounded theory approach to investigate 80 smart products and conducted interviews with 12 designers to progressively code and generate a design model. Through the coding process, this research extracted 547 nodes and gradually formed 10 categories, ultimately resulting in a design model comprising 5 sequential steps. This model includes user requirements, concept definition, design ideation, design implementation, and evaluation, making it applicable to most current and future emotional design issues in smart products.
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