摘要
目的探索智能手机语音系统任务的设计元素对智能语音交互体验的影响,研究全面性更高、通用性更强的智能语音系统设计评估体系。方法以用户调研和可用性测试为基础,使用因子分析的方法对智能手机语音系统每个任务的设计元素按贡献量进行分类,再通过聚类分析将各个任务的因子分析结果进行综合,得到智能手机语音系统全局的设计元素体系。结论因子分析能够定量的分析在单个语音交互任务中设计元素的贡献情况,并将大量的设计元素总结为少量的具有代表性的因子。聚类分析能够综合因子分析结果中元素类的亲疏关系,得到涵盖各个任务的设计元素之间的亲疏程度,从而获得智能手机语音系统全局的设计体系。研究智能手机语音系统的设计评估体系能够帮助设计人员在设计语音产品时更容易把握设计效果,也能够用于评估智能语音系统设计方案的可行性。
The work aims to explore the influence of design elements of the smart phone voice system task on the interactive experience of intelligent voice, and study the design evaluation system of intelligent voice system with higher comprehensiveness and stronger versatility. On the basis of user investigation and usability testing, the factor analysis was conducted to classify the design elements of each task in smart phone voice system according to its contribution, and then the results of factor analysis of each task were combined by cluster analysis to get the global design element system of the smart phone voice system. Factor analysis can quantitatively analyze the contribution of design elements in a single voice interaction task and sum up a large number of design elements as a small number of representative factors. The cluster analysis can synthesize the relationship between the elements in the results of the factor analysis, and get the degree of familiarity between the design elements that cover the various tasks, so as to obtain the global design system of the smart phone voice system. The study on the design evaluation system of smart phone voice system can help designers more easily grasp the design effect when they design voice products, and can also be used to evaluate the feasibility of design scheme of intelligent voice system.
作者
李豪
侯文军
陈筱琳
LI Hao;HOU Wen-jun;CHEN Xiao-lin(Beijing University of Posts and Telecommunications,Beijing 100876,China;Beijing Key Laboratory of Network Culture,Beijing University of Posts and Telecommunications,Beijing 100876,China)
出处
《包装工程》
CAS
北大核心
2018年第16期42-49,共8页
Packaging Engineering
关键词
语音交互
智能语音系统
设计元素
因子分析
聚类分析
voice interaction
intelligent voice system
design elements
factor analysis
cluster analysis
