文章摘要
赵颖,谭浩,朱敏,袁翔,李士岩.智能音箱主动交互行为的用户满意度研究[J].包装工程,2021,42(14):224-229.
智能音箱主动交互行为的用户满意度研究
User Satisfaction of Proactive Interaction Behavior of Intelligent Speakers
投稿时间:2021-03-09  
DOI:10.19554/j.cnki.1001-3563.2021.14.028
中文关键词: 主动交互  智能音箱  用户满意度  设计策略
英文关键词: proactive interaction  intelligent speakers  user satisfaction  design strategy
基金项目:百度人工智能交互设计院《智能音箱主动交互设计研究》
作者单位
赵颖 湖南大学 设计艺术学院长沙 410082 
谭浩 湖南大学 汽车车身先进设计制造国家重点实验室长沙 410082 
朱敏 湖南大学 设计艺术学院长沙 410082 
袁翔 湖南大学 设计艺术学院长沙 410082 
李士岩 百度智能云AI人机交互实验室北京 100085 
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中文摘要:
      目的 随着主动交互方式在家居环境下的广泛应用,进一步了解通过预测用户需求后智能产品发起主动交互服务的用户满意程度。方法 以家用智能音箱为例,通过对于主动行为的理论研究,了解主动交互在智能产品领域的研究现状,并提出包含了5个层级的主动交互模型。利用绿野仙踪实验法获取了60名用户在高、低紧急程度的家庭任务中主动交互模型的体验数据,分析了用户对交互模型的满意度差异并提出相关设计策略。结果 用户在高、低紧急环境下的不同程度主动交互行为的满意度上具有显著差异,L3(执行前请求同意)在高紧急和低紧急任务中都具有较好的满意度。结论 通过对参与实验的用户实验数据、行为观察和访谈进行总结,得出3个基本设计策略,从而提高用户交互体验。
英文摘要:
      With the wide application of proactive interaction in the home environment, it is necessary to understand the user satisfactory degrees of the proactive interaction service provided by intelligent products through predicting user needs. Taking home intelligent speaker as an example, we shouldunderstand the proactive interaction research status in the field of intelligent products through the study of the proactive behavior theory, and put forward the five kinds of intelligent products proactive interaction mode. The wizard of oz experiment method is used to collect the 60 users under the environment of high and low emergency experience data of proactive interaction model.We analyzed the user interaction model of satisfaction difference and put forward relevant design strategies. The usersatisfaction with different degrees of proactive interaction in high and low emergency environment is significantly different, and the Level 3 proactive model (request consent before execution) has a good satisfaction in both high and low emergency tasks environment.Three basic design strategies can be summarized based on experimental data, behavior observation and interview results of users participating in the experiment to improve user interaction experience.
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