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題名 AI-Infused Technology Support for Environmental Sustainability Exploration and Actions
作者 簡士鎰
Sun, Qiming;Shiao, I-Han;Chien, Shih-Yi
貢獻者 資管系
關鍵詞 sustainability learning; behavioral analytics; eco-feedback technology; environmental impact; sustainability lifestyle; theory of change; personal informatics
日期 2026-07
上傳時間 2026-07-21
摘要 Despite increasing sustainability awareness, an “intention-action gap” prevents individuals from adopting pro-environmental behaviors in their daily lives. Generic and one-size-fits-all information campaigns often fail to account for an individual’s specific context, constraints, and motivations. This paper introduces a novel AI-powered system designed to bridge this gap by delivering personalized, context-aware sustainability recommendations. We present MyEcoPal, a multi-AI-agents to generate a dynamic repository of sustainable actions tailored to specific environments. The functional prototype is designed under the setting of a university campus and discuss a path toward deployment and evaluation in the real world. This work demonstrates the potential of personalized AI systems to foster a concrete and lasting pro-environmental behavior change.
關聯 International Conference on Human-Computer Interaction, HCI International
資料類型 conference
DOI https://doi.org/10.1007/978-3-032-30849-8_21
dc.contributor 資管系
dc.creator (作者) 簡士鎰
dc.creator (作者) Sun, Qiming;Shiao, I-Han;Chien, Shih-Yi
dc.date (日期) 2026-07
dc.date.accessioned 2026-07-21-
dc.date.available 2026-07-21-
dc.date.issued (上傳時間) 2026-07-21-
dc.identifier.uri (URI) https://ah.lib.nccu.edu.tw/item?item_id=183375-
dc.description.abstract (摘要) Despite increasing sustainability awareness, an “intention-action gap” prevents individuals from adopting pro-environmental behaviors in their daily lives. Generic and one-size-fits-all information campaigns often fail to account for an individual’s specific context, constraints, and motivations. This paper introduces a novel AI-powered system designed to bridge this gap by delivering personalized, context-aware sustainability recommendations. We present MyEcoPal, a multi-AI-agents to generate a dynamic repository of sustainable actions tailored to specific environments. The functional prototype is designed under the setting of a university campus and discuss a path toward deployment and evaluation in the real world. This work demonstrates the potential of personalized AI systems to foster a concrete and lasting pro-environmental behavior change.
dc.format.extent 108 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) International Conference on Human-Computer Interaction, HCI International
dc.subject (關鍵詞) sustainability learning; behavioral analytics; eco-feedback technology; environmental impact; sustainability lifestyle; theory of change; personal informatics
dc.title (題名) AI-Infused Technology Support for Environmental Sustainability Exploration and Actions
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.1007/978-3-032-30849-8_21
dc.doi.uri (DOI) https://doi.org/10.1007/978-3-032-30849-8_21