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| 1 |
ID:
176877
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| Summary/Abstract |
Smart home technologies refer to devices that provide some degree of digitally connected or enhanced services to occupants. Smart homes have become central in recent technology and policy discussions about energy efficiency, climate change, and innovation. However, many studies are speculative, lacking empirical data, and focus on costs and benefits, but not business models and emerging markets. To address these gaps, our study presents data from semi-structured expert interviews and a review of the recent literature. Although we draw from empirical data collected in the United Kingdom, we place our findings in the context of Europe because the UK has access to European markets for smart home technologies and platforms. Our sampling strategy included experts from Amazon, Microsoft, the International Energy Agency, government, academic, and civil society stakeholders. We identify a diversity of definitions associated with smart home technologies and draw from our data to discuss applications centred on digital connections, enhanced control, automation, and learning. We analyse fifteen distinct business models for smart home technologies, ranging from energy services and household data monitoring to assisted living, security and safety, and new advertising channels (among others). Our assessment ought to guide future innovation patterns, technology deployment, and policy activity relating to smart homes, especially insofar as they can deliver energy services more affordably or help meeting carbon mitigation priorities.
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| 2 |
ID:
178835
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| Summary/Abstract |
In this empirical study, we explore the user acceptance of smart home technologies by asking: How do people perceive their opportunities and drawbacks? What factors shape their perceptions? What implications does this have for future energy savings, sustainability, and policy? Based on a mixed methods approach involving three focus groups (N = 18) and a nationally representative survey of adults (N = 1032) in the United Kingdom, we explore the demographics, preferences, and risks of smart home technology. We do this via the lenses of knowledge and adoption; energy and climate sustainability; and vulnerability and exclusion. We explore how different classes of people—adopters versus non-adopters, high-income versus low-income, women and men, old versus young—support or oppose smart home technologies, have different degrees of knowledge and misperceptions, and reveal very different perceptions about the practices enabled by smart homes. In doing so, we show at times compelling links between smart homes and energy consumption, and possible negative impacts to poverty, inclusion, and empowerment.
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