在线客户评论能帮助设计更可持续的产品吗？亚马逊气候承诺友好产品初探
Can Online Customer Reviews Help Design More Sustainable Products? A Preliminary Study on Amazon Climate Pledge Friendly Products
摘要：
在线产品评论是产品开发人员改进产品设计的宝贵资源。然而，客户反馈对改善产品可持续性表现的潜在价值仍有待开发。本文调查和分析亚马逊的产品评论带来了新的光对以下问题：“什么可持续设计的见解可以识别或解释从在线产品评论？''.为此，收集、手动注释、分析和解释三个产品类别（笔记本电脑、打印机、电缆）的前100个评论（按星级平均分布）。对于每一个产品类别，我们会比较和结合两个类似产品（一个有环保认证，一个标准版本）的评论，以提出可持续的设计解决方案。总的来说，对于所考虑的六种产品，12%至20%的评论直接或间接地提到了可以利用的方面或属性，以从可持续性的角度改进这些产品的设计。具体的例子，可持续发展的设计线索，可以从产品审查和讨论。因此，这一贡献为未来的工作提供了一个基线，愿意自动化这一过程，以获得进一步的见解，从在线产品评论。值得注意的是，机器学习工具的部署和使用自然语言处理技术来做到这一点进行了讨论，作为未来研究的有前途的路线。
英文摘要：
Online product reviews are a valuable resource for product developers to improve the design of their products. Yet, the potential value of customer feedback to improve the sustainability performance of products is still to be exploited. The present paper investigates and analyzes Amazon product reviews to bring new light on the following question: ``What sustainable design insights can be identified or interpreted from online product reviews?''. To do so, the top 100 reviews, evenly distributed by star ratings, for three product categories (laptop, printer, cable) are collected, manually annotated, analyzed and interpreted. For each product category, the reviews of two similar products (one with environmental certification and one standard version) are compared and combined to come up with sustainable design solutions. In all, for the six products considered, between 12% and 20% of the reviews mentioned directly or indirectly aspects or attributes that could be exploited to improve the design of these products from a sustainability perspective. Concrete examples of sustainable design leads that could be elicited from product reviews are given and discussed. As such, this contribution provides a baseline for future work willing to automate this process to gain further insights from online product reviews. Notably, the deployment of machine learning tools and the use of natural language processing techniques to do so are discussed as promising lines for future research.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
