The production of goods we buy on a daily basis accounts for a large portion of greenhouse gas emissions. Although consumers have the power to influence industries' behavior through their demand, making sustainable purchases is challenging. Current ICT systems supporting sustainable shopping decisions are not established in consumers' daily lifes. Shopping decisions are made on a complex set of criteria, thus classical persuasive approaches, like recommender-systems, might not be suitable. This work compiles the state of research on ICT supporting sustainable consumption, outlines unsolved challenges, and finally presents a novel concept: a system based on self-reflection instead of classical persuasive approaches, like recommender-systems. Self-reflection provokes revising individual behaviour and decisions, instead of presenting instructions. Combined with additional information on e.g., decision impact, people could learn how to make more sustainable decisions independently. We envision the deployment of such a system, fostering a change towards more sustainable industries to combat climate change.

翻译：我们日常购买商品的生产过程占据了温室气体排放的很大一部分。尽管消费者有能力通过其需求影响行业行为，但做出可持续购买决策仍具有挑战性。当前支持可持续购物决策的信息通信技术系统尚未融入消费者的日常生活。购物决策基于一系列复杂标准，因此传统的说服性方法（如推荐系统）可能并不适用。本文梳理了支持可持续消费的信息通信技术研究现状，概述了尚未解决的挑战，并最终提出一种新概念：基于自省而非传统说服性方法（如推荐系统）的系统。自省促使个体反思自身行为与决策，而非提供指令。结合诸如决策影响等附加信息，人们能够学会独立做出更可持续的决策。我们设想通过部署此类系统，推动行业向更可持续的方向转型，以应对气候变化。