Privacy Design Strategies for Home Energy Management Systems (HEMS)

Privacy Design Strategies for Home Energy Management Systems (HEMS)
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DOI:
10.1145/3491102.3517515
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发表时间:
2022-04
期刊:
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
K. Ramokapane;Caroline Bird;A. Rashid;R. Chitchyan
K. Ramokapane;Caroline Bird;A. Rashid;R. Chitchyan
中科院分区:
其他
文献类型:
--
作者:
K. Ramokapane;Caroline Bird;A. Rashid;R. Chitchyan

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家庭能源管理系统(HEMS)提供控制和管理能源的能力,生成和收集最详细的能源消耗数据。然而,这一级别的数据会带来各种隐私问题,例如,分析消费者行为和大规模监控。公用事业提供商如何在不侵犯消费者隐私的情况下从这些数据中获得价值的问题仍然没有得到充分的研究。我们通过访谈研究探讨了30 HEMS用户和非用户的亲共享态度和隐私感知,以解决这一差距。虽然参与者担心数据滥用和污名化,但我们的分析也表明,激励、利他主义、信任、安全和隐私、透明度和问责制鼓励数据共享。从这个分析中,我们得出的隐私设计策略HEMS,既可以提高隐私和产生通过。
Home energy management systems (HEMS) offer control and the ability to manage energy, generating and collecting energy consumption data at the most detailed level. However, data at this level poses various privacy concerns, including, for instance, profiling consumer behaviors and large-scale surveillance. The question of how utility providers can get value from such data without infringing consumers’ privacy has remained under-investigated. We address this gap by exploring the pro-sharing attitudes and privacy perceptions of 30 HEMS users and non-users through an interview study. While participants are concerned about data misuse and stigmatization, our analysis also reveals that incentives, altruism, trust, security and privacy, transparency and accountability encourage data sharing. From this analysis, we derive privacy design strategies for HEMS that can both improve privacy and engender adoption.