Artificial Intelligence-Based Assistance Systems for Environmental Sustainability in Smart Homes.

A Systematic Literature Review on Requirements and Future Directions

Brîncoveanu et al. · INFORMATIK 2024, Wiesbaden, Germany ·

Can your smart home really help save the planet? Smart home technology promises convenience, but its potential to support environmental sustainability is a complex challenge. Beyond simple automation, what does it take for an AI system to become a true partner in reducing a household’s environmental footprint?

To map this landscape, we conducted a systematic literature review, synthesizing findings from 60 academic papers. Our goal was to identify the essential requirements for AI systems designed to promote sustainable living.

The analysis revealed that effective systems require a holistic integration of technology, design, and human-computer interaction. We identified nine core requirements, including the need for predictive analytics, robust privacy measures, and personalized user engagement. A key insight is that building consumer trust is as critical as the underlying technology itself.

This work provides a structured overview of the field and a roadmap for future research, suggesting that the next generation of smart home technology must create comprehensive ecosystems that enhance both user comfort and genuine environmental sustainability.

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