State of the art of smart homes

Silva, Liyanage C. De; Morikawa, Chamin; Petra, Iskandar

doi:10.1016/j.engappai.2012.05.002

Cited by 261 publications

(121 citation statements)

References 43 publications

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“…(De Silva et al, 2012, p. 1313 These overlapping priorities and discourses illustrate why there is an urgent need to clarify what is meant by smart homes and what the spread of ICT into buildings means in terms of 'bringing users into building energy performance'. For example, the term 'use' can take on new meanings.…”

mentioning

confidence: 99%

“…157-158) This infantilizing and deactivating element of the smart home vision can certainly be traced in the literature, implicitly if not explicitly, in the planned shift from human to machine sensing and control, and the development of 'ambient intelligence' that is capable of learning. As an example, De Silva, Morikawa, and Petra (2012) describe a smart home application that can detect and recognize 'health conditions' of home occupants, collecting information to support their wellbeing. Another well-known example is the 'learning thermostat' (Yang & Newman, 2013).…”

mentioning

confidence: 99%

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Smart technology in the home: time for more clarity

Darby

2017

Building Research & Information

131

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mentioning

confidence: 99%

mentioning

confidence: 99%

Smart technology in the home: time for more clarity

Darby

2017

Building Research & Information

131

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“…Hence, smart home technologies should permit and respond to natural changes in occupant routines [54]. Finally, there is a difference between technologies predicting human behavior versus sensing where an occupant is, what activity s/he is engaged in, where s/he is going, and responding intelligently to these inputs [57]. Because household behavior is often not particularly predictable, intelligent sensing or other occupant inputs can aid in getting settings "right" [3,4].…”

Section: Future Directionsmentioning

confidence: 99%

Adjustable Green Defaults Can Help Make Smart Homes More Sustainable

Sintov

Schultz

2017

Sustainability

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Smart home technologies offer exciting opportunities to promote more efficient uses of energy. For instance, programmable thermostats, centralized lighting controls, and rooftop solar panels all have potential for energy conservation and efficiency. However, these technologies alone will not guarantee energy savings. Whereas previous research on smart homes has focused on the technologies themselves, relatively little work has addressed the factors that shape the human-technology interface. In this review paper, we argue that in order to ensure any savings, smart home technologies must first be adopted by end-users, and once adopted, they must be used in ways that promote energy efficiency. We focus on three areas of behavioral research with implications for smart home technologies: (1) defaults; (2) perceived adjustability or control; and (3) trust in automation. Linking these areas, we propose a new concept for improving the efficiency gains of smart homes. First, although smart device controls can help save energy, considerably larger energy efficiency gains can be realized through smart automation. But importantly, the default settings of systems should be "green", to maximize energy savings. Second, many people have concerns around relinquishing decision-making to technologies, which can reduce the likelihood of adoption. People want to be, or at least to feel, in control of their homes, even if they do not adjust settings post-installation. Further, consumer trust in technologies encourages adoption in the first place; trust also impacts consumer interactions with installed devices and can impact default acceptance. Combining these concepts, we recommend that smart home technologies build consumer trust and come pre-programmed with adjustable green defaults, which permit consumers to change initial green settings.

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“…Several studied this topic which has branched out into a wide variety of applications. According to the literature, the smart home will enable the management and control of different areas of a residence [3]. Four distinctive general functional areas of service can be classified, which are [10][11][12][13]: (a) Energy Efficiency and Management; (b) Health Care; (c) Entertainment; and (d) Security.…”

Section: Home Application Areasmentioning

confidence: 99%

“…A smart home is described by L.C.D. Silva et al [3] as a "home-like environment that possesses ambient intelligence and automatic control" capable of reaction to the behaviour of residents and to offer various accommodations and is further divided into four types of smart homes: healthcare based, multimedia and entertainment based, security based and energy efficiency based smart homes-a definition which is supported by D. Zhang et al [4], and M.A.A. Pedrasa [5] among others.…”

Section: Introductory Definitionmentioning

confidence: 99%

Smart Home Communication Technologies and Applications: Wireless Protocol Assessment for Home Area Network Resources

et al. 2015

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Abstract:The paper discusses Home Area Networks (HAN) communication technologies for smart home and domestic application integration. The work is initiated by identifying the application areas that can benefit from this integration. A broad and inclusive home communication interface is analysed utilizing as a key piece a Gateway based on machine-to-machine (M2M) communications that interacts with the surrounding environment. Then, the main wireless networks are thoroughly assessed, and later, their suitability to the requirements of HAN considering the application area is analysed. Finally, a qualitative analysis is portrayed.

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State of the art of smart homes

Cited by 261 publications

References 43 publications

Smart technology in the home: time for more clarity

Smart technology in the home: time for more clarity

Adjustable Green Defaults Can Help Make Smart Homes More Sustainable

Smart Home Communication Technologies and Applications: Wireless Protocol Assessment for Home Area Network Resources

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