摘要
目的FBS(即功能-行为-结构)认知计算设计模型对内容容器的设计缺乏对应的有效指导方法。本文提出针对内容功能关系需求的CMR认知计算设计模型,探讨家庭智能体交互设计的功能与内容设计的本体论框架。方法除了在家庭智能体的功能设计中引入FBS模型,本文还提出了针对智能体及人机交互内容设计的CMR(即内容-心智及交互模型-需求与关系)设计模型。其中,内容包括用户自身产生内容(UGC)、专业生产内容(PGC)、职业生产内容(OGC),以及本文提出的生态系统生成内容(EGC)。本文提出CMR+FBS方法模型,分析了功能任务与内容描述之间的转换关系,并将CMR+FBS模型应用于百度智能音箱项目的研究中,对其唤醒功能的设计进行了分析。结论FBS模型与CMR模型的结合能够支持高度灵活的智能体产品设计和数据服务的交互设计,CMR模型是提供高满意度用户体验的关键因素。寻求功能任务需求与构建用户生成内容的人机交互(HRI)关系是智能产品交互设计的新方法。
FBS (Function-Behavior-Structure) cognitive computing design model lacks corresponding effective guidance methods for content container design.The work aims to propose the CMR cognitive computing design model for content functional relationship requirements,and discuss the function of family agent interaction design and the ontology framework of content design.In addition to introducing FBS model into the functional design of family agent,CMR (Contents-Mental/Interaction Models-Relationship/Requirements) design model for agent and human-computer interaction content design was also proposed herein.Among them,the contents included user generated contents (UGC),professional generated contents (PGC),occupational generated contents (OGC),and ecosystem generated contents (EGC) proposed herein.The CMR+FBS ontology model was proposed herein,the conversion relationship between functional tasks and content descriptions was analyzed,the CMR+FBS model was applied to the research of Baidu Brand smart speakers, and the design of its wake-up function was analyzed.The combination of FBS model and CMR model can support highly flexible agent product design and interactive design of data services.CMR model is the key factor to provide high satisfaction user experience.The combination of FBS and CMR supports highly agile live intelligent agent product design and data service interaction design.CMR is the key factors for providing high satisfaction user experience.Finding function and task requirements and constructing HRI relationship with the user generated contents creation is the new interaction design method for the intelligent products.
作者
覃京燕
张文昊
周茉莉
陈智博
晋赞霞
郝泽宇
QIN Jing-yan;ZHANG Wen-hao;ZHOU Mo-li;CHEN Zhi-bo;JIN Zan-xia;HAO Ze-yu(University of Science and Technology Beijing,Beijing 100083,China;Baidu AI Interaction Design Lab,Beijing 100085,China)
出处
《包装工程》
CAS
北大核心
2019年第16期108-114,共7页
Packaging Engineering
基金
中央基本科研业务费项目(FRF-TP-18-010C1)
教育部“长江学者奖励计划”青年项目
