Designing Home Automation Routines Using an LLM-Based Chatbot

Designs Pub Date : 2024-05-13 DOI:10.3390/designs8030043

Mathyas Giudici, Luca Padalino, Giovanni Paolino, Ilaria Paratici, Alexandru Ionut Pascu, Franca Garzotto

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Abstract

Without any more delay, individuals are urged to adopt more sustainable behaviors to fight climate change. New digital systems mixed with engaging and gamification mechanisms could play an important role in achieving such an objective. In particular, Conversational Agents, like Smart Home Assistants, are a promising tool that encourage sustainable behaviors within household settings. In recent years, large language models (LLMs) have shown great potential in enhancing the capabilities of such assistants, making them more effective in interacting with users. We present the design and implementation of GreenIFTTT, an application empowered by GPT4 to create and control home automation routines. The agent helps users understand which energy consumption optimization routines could be created and applied to make their home appliances more environmentally sustainable. We performed an exploratory study (Italy, December 2023) with N = 13 participants to test our application’s usability and UX. The results suggest that GreenIFTTT is a usable, engaging, easy, and supportive tool, providing insight into new perspectives and usage of LLMs to create more environmentally sustainable home automation.

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使用基于 LLM 的聊天机器人设计家庭自动化例程

人们迫切希望采取更可持续的行为来应对气候变化。在实现这一目标的过程中，混合了参与和游戏机制的新数字系统可以发挥重要作用。智能家居助手（Smart Home Assistants）等会话代理（Conversational Agents）尤其是一种很有前途的工具，可以鼓励家庭环境中的可持续行为。近年来，大型语言模型（LLM）在增强此类助手的能力方面显示出巨大潜力，使其在与用户互动时更加有效。我们介绍了 GreenIFTTT 的设计与实现，这是一款由 GPT4 赋予功能的应用程序，用于创建和控制家庭自动化例程。该代理可以帮助用户了解可以创建和应用哪些能耗优化例程，从而使他们的家用电器更具环境可持续性。我们进行了一项探索性研究（意大利，2023 年 12 月），共有 13 人参与，以测试应用程序的可用性和用户体验。研究结果表明，GreenIFTTT 是一款可用、吸引人、简单且具有支持性的工具，它为人们提供了新的视角，并使人们能够使用 LLM 创建更具环境可持续性的家庭自动化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Designs

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