| 摘要: |
| 目的 为提升儿童用户对康复产品的交互体验，提出以用户感知为导向的儿童居家康复产品交互体验评价方法。方法 基于信息加工过程，引入人智学十二感官理论，建立用户感知体验模型;采用问卷调查与眼动追踪相结合的测量方法，获取儿童用户的心理评价与生理指标;应用层次分析法构建产品交互体验评价体系，结合熵权法为各项评价指标赋权并进行综合排序;基于BP神经网络建立康复产品特征要素与儿童用户感知体验偏好的映射关系模型。结果 以儿童家用康复脚踏器为例，验证了模型具有良好的预测效果。结论 通过主客观相结合的方法提高了儿童康复产品交互体验评价系统的科学性。该方法能够有效预测儿童用户的感知体验评价，为该类产品的交互体验设计与评价提供参考。 |
| 关键词: 感知体验 眼动追踪 熵权法 BP神经网络 儿童康复脚踏器 |
| DOI：10.19554/j.cnki.1001-3563.2022.22.017 |
| 分类号:TB472 |
| 基金项目:国家自然科学基金(51508151);天津艺术科学规划项目(C16064);河北省社会科学基金资助项目(HB16YS017) |
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| User Perception-oriented Interactive Experience of Children's Rehabilitation Products |
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YANG Dong-mei1, JIANG Rui1, ZHANG Jian-nan2, WANG Peng-fei1, WANG Ze-yuan1
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(1. School of Architecture and Art Design,Tianjin 300401, China; 2. School of Artificial Intelligence, Hebei University of Technology,Tianjin 300401, China)
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| Abstract: |
| The paper aims to improve the interactive experience of children on rehabilitation products, and propose a user perception-oriented interactive experience evaluation method for children's home rehabilitation products. Based on the information processing process, the twelve senses theory of anthroposophy is introduced, and a user perception experience model is established; the measurement method combining questionnaire survey and eye tracking is used to obtain the psychological evaluation and physiological indicators of child users; the analytic hierarchy process is used to construct the product interaction experience evaluation system, and the entropy weight method is combined to give weights to various evaluation indicators and conduct a comprehensive ranking; based on BP neural network, a mapping relationship model between the characteristic elements of rehabilitation products and children's perceived experience preferences is established. Taking children's home rehabilitation foot pedal as an example, it is verified that the model has a good prediction effect. The scientific nature of the interactive experience evaluation system of children's rehabilitation products is improved by the method of combining subjective and objective. This method can effectively predict the perceived experience evaluation of children, and provide a reference for the interactive experience design and evaluation of such products. |
| Key words: perceptual experience eye tracking entropy weight method BP neural network children's rehabilitation products |
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