Affective product design, which aims to satisfy customer feelings as an aspect of product quality, has attracted more and more research attention. However, conventional product design relies on surveys and user experiments to collect user evaluations, which leads to the issues that (i) consumers can only express their feelings on design attributes specified by assigners; (ii) abundant online consumer resources are neglected; and (iii) a lack of further prioritisation and re-construction of affective design properties. This study aims to develop a product affective properties identification approach. Crowdsourcing platforms have the advantage of obtaining large numbers of free consumer comments and have been utilised as data sources. Web mining and text mining are deployed to capture the crowdsourced product review resources. Then product design knowledge hierarchy is established to find design properties, while sentiment analysis was undertaken to identify affections. With the help of domain ontology to connect design properties and corresponding affections, product affective properties can be identified. Furthermore, the identified affective properties are prioritised, so as to assist in design improvement and support decision making. To illustrate the proposed approach, a pilot study on iPhone 7 was conducted, in which influential affective properties have been identified and ranked.

中文翻译：

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众包环境下基于网络挖掘的产品情感属性识别方法

将满足顾客感受作为产品质量的一个方面的情感产品设计越来越受到研究的关注。然而，传统的产品设计依赖于调查和用户实验来收集用户评价，导致以下问题：(i) 消费者只能对分配者指定的设计属性表达自己的感受；(ii) 忽视了丰富的在线消费资源；(iii) 缺乏对情感设计属性的进一步优先排序和重建。本研究旨在开发一种产品情感特性识别方法。众包平台具有获得大量免费消费者评论的优势，并已被用作数据来源。部署网络挖掘和文本挖掘来捕获众包产品评论资源。然后建立产品设计知识层次以寻找设计属性，同时进行情感分析以识别情感。借助领域本体连接设计属性和相应的情感，可以识别产品的情感属性。此外，确定的情感属性被优先考虑，以帮助设计改进和支持决策。为了说明所提出的方法，我们对 iPhone 7 进行了一项试点研究，其中已经确定并排名了有影响力的情感属性。确定的情感属性被优先考虑，以帮助设计改进和支持决策。为了说明所提出的方法，我们对 iPhone 7 进行了一项试点研究，其中已经确定并排名了有影响力的情感属性。确定的情感属性被优先考虑，以帮助设计改进和支持决策。为了说明所提出的方法，我们对 iPhone 7 进行了一项试点研究，其中已经确定并排名了有影响力的情感属性。