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Computer Science > Human-Computer Interaction

Title: LuminLab: An AI-Powered Building Retrofit and Energy Modelling Platform

Abstract: This paper describes the technical and conceptual development of the LuminLab platform, an online tool that integrates a purpose-fit human-centric AI chatbot and predictive energy model into a streamlined front-end that can rapidly produce and discuss building retrofit plans in natural language. The platform provides users with the ability to engage with a range of possible retrofit pathways tailored to their individual budget and building needs on-demand. Given the complicated and costly nature of building retrofit projects, which rely on a variety of stakeholder groups with differing goals and incentives, we feel that AI-powered tools such as this have the potential to pragmatically de-silo knowledge, improve communication, and empower individual homeowners to undertake incremental retrofit projects that might not happen otherwise.
Subjects: Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI)
Cite as: arXiv:2404.16057 [cs.HC]
  (or arXiv:2404.16057v1 [cs.HC] for this version)

Submission history

From: Qian Xiao [view email]
[v1] Sun, 14 Apr 2024 16:47:00 GMT (574kb)

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