人机交互
个性化
阶梯
计算机科学
接口(物质)
用户界面
用户体验设计
具身认知
用户界面设计
用户需求
感性
感知
多媒体
人工智能
万维网
心理学
经济
神经科学
并行计算
气泡
财务
最大气泡压力法
操作系统
作者
Fu Guo,Xiao-Hui Tian,Mingcai Hu,Zeyu Zhang
标识
DOI:10.1080/10447318.2023.2179217
摘要
Identifying users' diversified needs and designing products that match those needs is important in the era of mass personalization. Smart TV navigation interfaces lack good affective design, and difficulties remain in responding to diversified affective needs. Therefore, an affective design approach that considers the diversity of user needs is presented to optimize the design of smart TV navigation interfaces. First, the laddering interview is conducted to capture the diversified affective needs and multi-layer interface design elements perceived by users. Kansei distance is introduced to characterize diversified needs. Then, single-user relationship models between user perceptions and interface attributes are constructed. Finally, the two-stage interface optimization is performed to obtain common and individual optimization attributes, which are further embodied as parameter-layer optimization solutions through user experiments. This method is capable of capturing the diversified affective needs for smart TV navigation interfaces and achieving differentiated product design.
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