Designing systems that account for sustainability concerns demands for a better understanding of the \textit{impact} that digital technology interventions can have on a certain socio-technical context. However, limited studies are available about the elicitation of impact-related information from stakeholders, and strategies are particularly needed to elicit possible long-term effects, including \textit{negative} ones, that go beyond the planned system goals. This paper reports a case study about the impact of digitalisation in remote mountain areas, in the context of a system for ordinary land management and hydro-geological risk control. The elicitation process was based on interviews and workshops. In the initial phase, past and present impacts were identified. In a second phase, future impacts were forecasted through the discussion of two alternative scenarios: a dystopic, technology-intensive one, and a technology-balanced one. The approach was particularly effective in identifying negative impacts. Among them, we highlight the higher stress due to the excess of connectivity, the partial reduction of decision-making abilities, and the risk of marginalisation for certain types of stakeholders. The study posits that before the elicitation of system goals, requirements engineers need to identify the socio-economic impacts of ICT technologies included in the system, as negative effects need to be properly mitigated. Our study contributes to the literature with: a set of impacts specific to the case, which can apply to similar contexts; an effective approach for impact elicitation; and a list of lessons learned from the experience.
翻译:设计兼顾可持续性的系统要求深入理解数字技术干预对特定社会技术环境可能产生的**影响**。然而,目前关于从利益相关者处获取影响相关信息的研究有限,尤其需要制定策略来揭示超越系统规划目标的潜在长期效应(包括**负面**效应)。本文报告了一项关于偏远山区数字化影响的案例研究,背景是普通土地管理与水文地质风险控制系统。影响获取过程基于访谈和研讨会进行:初始阶段识别了过去与当前的影响;第二阶段通过讨论两种备选情景(技术密集型的反乌托邦情景与技术均衡情景)对未来影响进行了预测。该方法在识别负面影响方面尤为有效,其中突出表现为:过度连接导致的高压状态、决策能力的部分削弱,以及特定类型利益相关者面临边缘化风险。研究表明,在系统目标获取之前,需求工程师必须识别系统中信息技术的社会经济影响,因为负面影响需要得到适当缓解。本研究对文献的贡献包括:一组特定于案例且适用于类似情境的影响要素;一种有效的影响获取方法;以及从实践中总结的经验教训清单。