| 张丙辰,杨俞玲,韦懿洋,孙福旭,王瑞.基于ASD儿童需求分析的干预APP交互设计研究[J].包装工程,2022,43(18):122-135. |
| 基于ASD儿童需求分析的干预APP交互设计研究 |
| Interactive Design of Intervention APP Based on Needs Analysis of ASD Children |
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| DOI：10.19554/j.cnki.1001-3563.2022.18.016 |
| 中文关键词: 需求分析 Kano 熵权法 ASD儿童 干预APP |
| 英文关键词: demand analysis Kano entropy method ASD children intervention APP |
| 基金项目:教育部人文社会科学研究规划基金项目(18YJAZH123) |
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| 中文摘要: |
| 目的 目前我国自闭症谱系障碍儿童数量逐年上升，为提升ASD儿童干预APP的训练效果、提高界面设计中合理决策的效率，提出一种基于Kano-熵权法的ASD儿童需求分析方法。方法 首先，基于Kano模型收集ASD儿童干预APP的需求，并根据相对满意度系数将其分为基本型、期望型、兴奋型三类;其次，运用熵权法计算各项需求指标的客观权重值;然后，结合权重值大小与ASD儿童干预训练的相关性进行案例设计实践，并通过人机交互测试验证基于ASD儿童需求分析的干预APP是否有效地发挥了干预APP的效能。结论 融合Kano-熵权法的ASD儿童干预APP交互设计，将需求指标分为内容性、操作性和视觉性三个维度且内容性需求所占比重最大，在此基础上运用人机交互测试验证APP的干预效果，发现改进后的APP可以丰富界面内容、提升干预操作、增强视觉吸引力。基于ASD儿童需求分析的干预APP交互设计通过对内容、操作及视觉性需求的优化，能够增强指示性、延长训练时长，提升干预训练的有效性，为后续相关设计提供了参考和依据。 |
| 英文摘要: |
| At present, the number of children with autism spectrum disorders in China is increasing year by year. In order to improve the training effect of ASD children's intervention in APP and the efficiency of rational decision-making in interface design, a method of ASD children's needs analysis based on Kano-entropy weight method is proposed. First of all, based on the Kano model, the needs of ASD children's intervention in APP are collected and divided into three categories (basic type, expectant type and excitable type) according to relative satisfaction coefficient. Secondly, the objective weight value of each demand index is calculated by entropy method. Then, combined with the correlation between weight value and ASD child intervention training, case design practice is carried out, and human-computer interaction test is used to verify whether the intervention APP based on ASD needs analysis can effectively play the role of intervention in APP. The interactive design of ASD children's intervention APP integrating Kano-entropy weight method divides the demand indicators into three dimensions:content, operability and vision, and the content demand accounts for the largest proportion. On this basis, the human-computer interaction test is used to verify the intervention effect of APP. It is found that the improved APP can enrich the interface content, improve the intervention operation, and enhance the visual attraction. The intervention APP interaction design based on ASD child needs analysis can enhance indicative performance, extend training duration and enhance the effectiveness of intervention training by optimizing content, operation and visual needs, so as to provide reference and basis for subsequent related design. |
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