AI 中文总结
本研究提出整合碳强度等指标的可持续性评分系统，集成于集群管理界面并结合游戏化设计，拟通过12周研究评估其对研究人员使用计算集群的可持续行为的激励效果。
AI 中文摘要
计算的环境成本持续增长，但行为改变仍有限。我们提出一种综合可持续性评分，将平均碳强度、资源利用率和隐含碳排放整合为单一0-100的指标，用于游戏化反馈。各组成部分分别奖励不同维度的可持续行为：感知碳的工作负载转移、高资源利用率，以及选择通常未充分利用的硬件。该评分系统被集成到现有集群管理界面中，并支撑三种仪表盘状态：原始指标、综合评分和游戏化树状可视化，我们计划开展为期12周的被试内研究，评估约35名研究人员。此外，我们就可持续性评分背景下定义计算工作“优劣”的挑战展开讨论。
英文摘要
The environmental cost of computing continues to grow, yet behaviour change remains limited. We present a composite sustainability score integrating average carbon intensity, resource utilisation, and embodied emissions into a single 0-100 metric designed for gamified feedback. Each component rewards a different dimension of sustainable behaviour: carbon-aware workload shifting, high resource utilisation, and selecting hardware that is commonly underutilised. This scoring system is built into an existing cluster management interface and underpins three dashboard conditions: raw metrics, composite score, and a gamified tree visualisation, which we are planning to evaluate in a 12-week within-subjects study with approximately 35 researchers. Furthermore, we open the discussion on the challenge of defining computational work `goodness' in the context of sustainability scores.
Comments5 pages, 1 figures. Accepted at the 2nd International Workshop on Low Carbon Computing (LOCO 2026), Lancaster University, United Kingdom, 10-11 September 2026. Part of the LOCO 2026 proceedings, arXiv:LOCO2026/P01
