面向动态场景的智能产品交互认知负荷评估方法研究

doi:10.3901/JME.2023.11.106

机械工程学报 ›› 2023, Vol. 59 ›› Issue (11): 106-116.doi: 10.3901/JME.2023.11.106

• 特邀专栏:智能产品交互设计 • 上一篇下一篇

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面向动态场景的智能产品交互认知负荷评估方法研究

王伟伟¹, 魏婷¹, 余隋怀^1,2, 陈健¹

1. 陕西科技大学设计与艺术学院西安 710021;
2. 西北工业大学工业设计与人机工效工业和信息化部重点实验室西安 710072

收稿日期:2021-11-01 修回日期:2022-03-18 出版日期:2023-06-05 发布日期:2023-07-19
通讯作者: 余隋怀(通信作者),男,1962年出生,博士,教授,博士研究生导师。主要研究方向为智能产品交互设计、文创产品情感体验设计。E-mail:ysuihuai@vip.sina.com
作者简介:王伟伟,男,1983年出生,博士,教授,博士研究生导师。主要研究方向为智能产品交互设计与用户体验方法。E-mail:79266462@qq.com;魏婷,女,1992年出生,博士生。主要研究方向为智能产品交互设计、用户情感体验设计方法。E-mail:649684039@qq.com
基金资助:
陕西省创新能力支撑计划(2021PT-025)和陕西高校“青年杰出”人才支持计划(2020-50)资助项目

Research on the Evaluation Method of Interactive Cognitive Load of Intelligent Products for Dynamic Scenarios

WANG Weiwei¹, WEI Ting¹, YU Suihuai^1,2, CHEN Jian¹

1. College of Art and Design, Shaanxi University of Science and Technology, Xi'an 710021;
2. Key Laboratory of Industrial Design and Ergonomics, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi'an 710072

Received:2021-11-01 Revised:2022-03-18 Online:2023-06-05 Published:2023-07-19

摘要/Abstract

摘要： 提出为了减少在动态场景下由于认知负荷过载引起的人机交互效率低下、用户体验差的问题，构建一种面向多任务交互的智能产品用户认知负荷体验匹配模型，评估动态场景下认知负荷与交互任务、用户体验之间的关系。考虑场景变化对用户需求的动态影响，首先结合问卷分析了解用户高频率、高注意力、长时间交互的任务，结合出声思维方法梳理不同场景下的用户体验地图实现各场景下任务与体验、痛点的可视化映射，再通过主观负荷评估技术(Subjective workload assessment technique, SWAT)分析不同场景下各交互任务的认知负荷量化指标，将用户体验与认知负荷指标进行匹配，筛选出由于认知负荷过载引起的用户体验较差的任务与场景。运用认知负荷理论进行交互设计优化，并提出动态场景下的解决方案，运用模糊KANO模型展开动态场景下的功能需求满意度分析，确定功能需求优先度层级。以智能骑行产品为对象，设计产品功能造型及交互界面并进行满意度测试，验证以上方法的可用性与有效性，为展开动态场景的智能产品交互设计提供参考。

关键词: 交互设计, 认知负荷, 智能产品, 动态场景, 评估方法

Abstract: In order to reduce the problems of inefficient human-computer interaction and poor user experience caused by cognitive load overload in dynamic scenarios, a user cognitive load experience matching model for multi-task interaction of intelligent products is constructed to evaluate the relationship between cognitive load, interaction tasks and user experience in dynamic scenarios. Considering the dynamic impact of scene changes on user needs, the model first combines questionnaire analysis to understand the tasks that users interact with high frequency, high attention span and long time, and combines the out-of-sound thinking method to sort out the user experience map in different scenarios to realize the visual mapping of tasks to experience and pain points in each scenario, and then analyses the cognitive load quantification index of each interaction task in different scenarios through Subjective Workload Assessment Technique (SWAT) The user experience is then matched with the cognitive load indicators to filter out the tasks and scenarios where the user experience is poor due to cognitive load overload. The cognitive load theory is used to optimize the interaction design and propose solutions for dynamic scenarios. The fuzzy KANO model is used to analyze the satisfaction of functional requirements in dynamic scenarios and to determine the hierarchy of functional requirements priority. Using a smart cycling product as an object, the functional shape and interaction interface of the product are designed and tested to verify the usability and validity of the above method and provide a reference for the development of intelligent product interaction design in dynamic scenarios.

Key words: interaction design, cognitive load, intelligent products, dynamic scenarios, evaluation methods

中图分类号:

TB472

王伟伟, 魏婷, 余隋怀, 陈健. 面向动态场景的智能产品交互认知负荷评估方法研究[J]. 机械工程学报, 2023, 59(11): 106-116.

WANG Weiwei, WEI Ting, YU Suihuai, CHEN Jian. Research on the Evaluation Method of Interactive Cognitive Load of Intelligent Products for Dynamic Scenarios[J]. Journal of Mechanical Engineering, 2023, 59(11): 106-116.

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面向动态场景的智能产品交互认知负荷评估方法研究

Research on the Evaluation Method of Interactive Cognitive Load of Intelligent Products for Dynamic Scenarios

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