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智能家居场景中会话智能体主动交互设计研究

  

  1. (1. 湖南大学设计与艺术学院,湖南 长沙 410000;
    2. 百度在线网络技术(北京)有限公司,北京 100089)
  • 出版日期:2020-08-31 发布日期:2020-08-22

Proactive interaction design of conversational agent for smart homes

  1. (1. School of Design, Hunan University, Changsha Hunan 410000, China;
    2. Baidu Online Network Technology (Beijing) Co. Ltd, Beijing 100089, China)
  • Online:2020-08-31 Published:2020-08-22

摘要: 针对智能家居场景中会话智能体的主动交互设计策略,从决策权与沟通方式出发
对主动性的特征进行讨论,并在此基础上构建4 种主动风格(直率的建议者、直率的决策者、委
婉的建议者、委婉的决策者)。通过“绿野仙踪”实验方法探究用户的性别、年龄、使用经验以及
居住状态对主动风格偏好的影响,得出以下结果:①经验用户认为“建议者”风格比“决策者”风
格更满意;家庭用户认为“建议者”风格比“决策者”风格更舒适;②“直率”的沟通方式在满意度
和舒适度方面均优于“委婉”的沟通方式。实验验证了:①用户智能家居产品的使用经验及其居
住状态会显著影响其对会话智能体主动风格的偏好;②智能家居场景下,会话智能体的沟通效
率比礼貌更重要。

关键词: 主动交互, 人机交互, 会话智能体, 智能家居, 用户属性

Abstract: Aimed at the proactive interaction design strategies of conversational agents (CAs) in the
smart home, the proactivity was discussed in this article based on decision right and communication
style. In this light, four proactive styles (straight forward decision-maker and adviser, euphemistic
decision-maker and adviser) were designed for smart home CAs. A Wizard-of-OZ experiment was
conducted to investigate the effects of users’ gender, age, experience and living status on their
preferences for proactive styles. The results reveal that: ① Users having had experience with smart
home products are more satisfied with the “adviser” style; family users feel more comfortable with
the “adviser” style. ② Users generally feel more satisfied and comfortable when the CA
communicates with them in an explicit manner. And the experiment verifies that: ① Users’ prior
experience with smart home products and their living states have an impact on users’ preferences for
proactive styles of smart home CAs. ② In the smart home scenario, it is found that the
communication efficiency of CAs is more important than politeness.

Key words: proactive interaction, human-computer interaction, conversational agents, smart homes;
user characteristics