Technological innovations, from ubiquitous computing, augmented reality, telecommunication to intelligent appliances and robotics, bring new possibilities to the Smart Home domain, which has led to an increase in the number of academic publications in this domain. To date, no comprehensive overview and clustering of the core concepts used in these publications have been produced. Based on an extensive review of existing literature on the Smart Home, this paper visualizes the state of the art in the Smart Home research in a systematic way and outlines future research challenges. To do so, a business model framework is applied that helps researchers place their work within a broader context and identify gaps in the existing body of knowledge in this area. In order to move from the exploration towards the exploitation of Smart Home concepts, it is essential to contribute to a coherent body of knowledge that not only is technology driven, as it is the case now, but also pay attention to the non-technological aspects, i.e. social-organizational, economical, organizational, law/legislation and entrepreneurial topics, from both a strategic and an operational perspective.
LoPrestiEFMihailidisAKirschN. Assistive technology for cognitive rehabilitation: state of the art. Neuropsychol Rehabil2004; 14(1–2): 5–39.
2.
ChanMEstèveDEscribaCCampoE. A review of smart homes – present state and future challenges. Comput Meth Prog Biomed2008; 91(1): 55–81.
3.
ChanMCampoEEsteveDFourniolsJ. Smart homes – current features and future perspectives. Maturitas2009; 64(2): 90–97.
4.
KochS. Home telehealth – current state and future trends. Int J Med Inform2006; 75(8): 565–576.
5.
SolaimaniSBouwmanHSecomandiF. Critical design issues for the development of Smart Home technologies. J Des Res2013; 11(1): 72–90.
6.
AldrichFKSmart Homes: past, present, and future. In: HarperR (eds). Inside the Smart Home, London, UK: Springer, 2003, pp. 17–39.
7.
DemirisGHenselBK. Technologies for an aging society: a systematic review of Smart Home applications. Yearb Med Inform2008; 47(Suppl 1): 33–40.
8.
KailasACecchiVMukherjeeAA survey of contemporary technologies for Smart Home energy management. In: ObaidatMS (eds). Handbook of green information and communication systems, Waltham, USA: Elsevier, 2012, pp. 35–56.
9.
HaKNKimHHLeeKCLeeS. Survey on location-based system for Smart Home. J Kor Soc Precis Eng2007; 24(6): 1–7.
10.
KimMJOhMWChoMELeeHKimJT. A critical review of user studies on healthy Smart Homes. Indoor Built Environ2013; 22(1): 260–270.
11.
MilesMBHubermanAM. Qualitative data analysis: an expanded sourcebook, 2nd edn. Thousand Oaks, CA, USA: Sage Publications, 1994.
12.
BouwmanHde VosHHaakerT. Mobile service innovation and business models, Berlin, Heidelberg: Springer-Verlag, 2008.
13.
HarperRInside the Smart Home: ideas, possibilities and methods. In: HarperR (eds). Inside the Smart Home, London, UK: Springer, 2003, pp. 1–13.
14.
DemirisGRantzMJAudMAMarekKDTyrerHWSkubicMHussamAA. Older adults’ attitudes towards and perceptions of ‘Smart Home’ technologies: a pilot study. Med Inform2004; 29(2): 87–94.
15.
CongYPWeiZQHuMD. A Smart Home architecture based on concept ontology. Appl Mech Mater2013; 303–306(February): 1559–1564.
16.
ChenS-YChangS-F. A review of Smart Living space development in a cloud computing network environment. Comput Aided Des Appl2009; 6(4): 513–527.
17.
FenselATomicSKumarVStefanovicMAleshinSVNovikovDO. SESAME-S: semantic Smart Home system for energy efficiency. Informatik-Spektrum2013; 36(1): 46–57.
18.
ParkSOKimJSKimSJ. An object-based middleware supporting efficient interoperability on a smart home network. Multimed Tools Appl2011; 63(1): 227–246.
19.
WeissMMatternFGramlTStaakeTFleischE. Handy feedback: connecting smart meters with mobile phones. Proceedings of the 8th international conference on mobile and ubiquitous multimedia, New York: USA, 2009.
20.
BarlowJVenablesTSmart home, dumb suppliers? The future of Smart Homes markets. In: HarperR (eds). Inside the Smart Home, London, UK: Springer, 2003, pp. 247–262.
21.
GannDBarlowJVenablesT. Digital future: making homes smarter, Coventry: Chartered Institute of Housing, 1999.
22.
LiXLuRLiangXShenXChenJLinX. Smart community: an internet of things application. IEEE Commun Mag2011; 49(11): 68–75.
23.
HarrisonCEckmanBHamiltonRHartswickPKalagnanamJParaszczakJWilliamsP. Foundations for smarter cities. IBM J Res Dev2010; 54(4): 1–16.
24.
ZuehlkeD. SmartFactory – towards a factory-of-things. Annu Rev Control2010; 34(1): 129–138.
25.
GoumopoulosCKameasA. Ambient ecologies in Smart Homes. Comput J2008; 52(8): 922–937.
26.
CookDJDasSK. How smart are our environment? An updated look at the state of the art. Pervasive Mob Comput2007; 3(2): 53–73.
RamosCAugostoJCShapiroD. Ambient intelligence – the next step for artificial intelligence. IEEE Comput Soc2008; 23(2): 15–18.
29.
StefanovDHBienZBangWC. The Smart House for older persons and persons with physical disabilities: structure, technology arrangement, and perspectives. IEEE Trans Neural Syst Rehabil Eng2006; 12(2): 228–250.
30.
PeineA. Technological paradigms and complex technical systems – the case of Smart Homes. Res Policy2008; 37(3): 508–529.
31.
VenkateshA. Computers and other interactive technologies for the home. Commun ACM1996; 39(12): 47–54.
32.
HigginsJPTGreenS. Cochrane handbook for systematic reviews of interventions, Chichester, UK: John Wiley & Sons, 2011.
33.
RandallDLiving inside a Smart Home: a case study. In: HarperR (eds). Inside the Smart Home, London, UK: Springer, 2003, pp. 227–246.
34.
TolmiePJamesPDigginsTMacLeanAKarsentyA. Unremarkable computing. Proceedings of the ACM conference on human factors in computing systems (CHI 2002), Minneapolis, MN: ACM Press, 2002, pp. 399–406.
35.
García-HerranzMHayaPAEsquivelAMontoroGAlamánX. Easing the smart home: semi-automatic adaptation in perceptive environments. J Univers Comput Sci2008; 14(9): 1529–1544.
36.
HongDChiuDKWShenVY. Requirements elicitation for the design of context-aware applications in a ubiquitous environment. Proceedings of the 7th international conference on electronic commerce, New York: USA, 2005, pp. 590–596.
37.
GuoBZhangDImaiM. Enabling user-oriented management for ubiquitous computing: the meta-design approach. Comput Netw2010; 54(16): 2840–2855.
38.
VenkateshAKruseEShihE-F. The networked home: an analysis of current developments and future trends. Cogn Technol Work2003; 5(1): 23–32.
39.
WuCLLiaoCFFuLC. Service-oriented Smart Home architecture based on OSGi and mobile-agent technology. IEEE Trans Syst Man Cybernet Part C Appl Rev2007; 37(2): 193–205.
40.
TaylorASSwanL. Artful systems in the home. Proceedings of CHI conference, New York: ACM Press, 2005, pp. 641–650.
41.
LeppänenSJokinenMDaily routines and means of communication in a Smart Home. In: HarperR (eds). Inside the Smart Home, London, UK: Springer, 2003, pp. 207–225.
42.
TaylorASHarperRSwanLIzadiSSellenAPerryM. Homes that make us smart. Pervasive Ubiquit Comput2007; 11(5): 383–393.
43.
LyonsPCongATSteinhauerHJMarslandSDietrichJGuesgenHW. Exploring the responsibilities of single-inhabitant Smart Homes with Use Cases. J Ambient Intell Smart Environ2010; 2(3): 211–232.
44.
San MartínLAPeláezVMGonzálezRCamposALobatoV. Environmental user-preference learning for smart homes: an autonomous approach. J Ambient Intell Smart Environ2010; 2(3): 327–342.
45.
AlvesJSalemBRauterbergM. Responsive environments: user experiences for ambient intelligence. J Ambient Intell Smart Environ2010; 2(4): 347–367.
46.
PragnellMSpenceLMooreR. The market potential for Smart Homes, York, UK: Joseph Rowntree Foundation, 2000.
47.
BiswasJTolstikovAJayachandranMFooVWaiAAPPhuaCHuangWShueLGopalakrishnanKLeeJEYapP. Health and wellness monitoring through wearable and ambient sensors: exemplars from home-based care of elderly with mild dementia. Ann Telecommun2010; 65(9–10): 505–521.
48.
BayerSBarlowJCurryR. Assessing the impact of a care innovation: telecare. Syst Dyn Rev2007; 23(1): 61–80.
49.
BrinkMBronswijkJV. Addressing Maslow’s deficiency needs in Smart Homes. Gerontechnology2013; 11(3): 445–451.
50.
AartsE. Ambient Intelligence: A multimedia perspective. IEEE Multimed2004; 11(1): 12–19.
51.
DavidoffSLeeMKYiuCZimmermanJDeyAK. Principles of Smart Home control. UbiComp (ed.) LNCS 4206, Heidelberg: Springer, 2006, pp. 19–34.
52.
CasacubertaJSainzFMadridJ. Evaluation of an inclusive smart home technology system. Ambient assisted living and home care, Berlin Heidelberg: Springer, 2012, pp. 316–319.
53.
EdwardsWKGrinterRE. At home with ubiquitous computing: seven challenges. Ubiquitous computing: lecture notes in computer science, Berlin: Springer-Verlag, 2001, pp. 256–272.
54.
RialleVDucheneFNouryNBajolleLDemongeotJ. Health Smart Home: information technology for patients at home. Telemed J e-Health2002; 8(4): 395–409.
55.
CurryRGTrejo-TinocoMWardleD. The use of information and communication technology (ICT) to support independent living for older and disabled people, London: Department of Health, 2002, pp. 1–39.
AllamehEJozamMHde VriesBTimmermansHBeetzJMozaffarF. The role of Smart Home in smart real estate. J Eur Real Estate Res2012; 5(2): 156–170.
58.
FriedewaldMVildjiounaiteEPunieYWrightD. Privacy, Identity and security in ambient intelligence: a scenario analysis. Telemat Inform2007; 24(1): 15–29.
59.
KrebberJPegamR. Experiences of designing a speech user interface for a Smart Home environment. Usability of speech dialog systems, Springer, 2008, pp. 41–66.
60.
MäyräFSoronenAKoskinenIKuuselaKMikkonenJVanhalaJZakrzewskiM. Probing a proactive home: challenges in researching and design everyday smart environments. Hum Technol2006; 2(2): 158–186.
61.
DasSKCookDJBhattacharyaAHeiermanEOIIILinT-Y. The role of prediction algorithms in the MavHome smart home architecture. IEEE Wireless Commun2002; 9(6): 77–84.
62.
YamazakiT. Beyond the Smart Home. Proceedings of international conference on hybrid information technology, Cheju Island, 2006, pp. 350–355.
63.
FleuryAVacherMNouryN. SVM-based multimodal classification of activities of daily living in health smart homes: sensors, algorithms, and first experimental results. Inform Technol Biomed2010; 14(2): 274–283.
64.
JalalAUddinMZKimJTKimTS. Recognition of human home activities via depth silhouettes and ℜ transformation for Smart Homes. Indoor Built Environ2012; 21(1): 184–190.
65.
JalalASarifNKimJTKimTS. Human activity recognition via recognized body parts of human depth silhouettes for residents monitoring services at Smart Home. Indoor Built Environ2013; 22(1): 271–279.
66.
ChenLNugentCDWangH. A knowledge-driven approach to activity recognition in smart homes. Knowl Data Eng2012; 24(6): 961–974.
67.
FahimMFatimaILeeSLeeYK. EEM: evolutionary ensembles model for activity recognition in Smart Homes. Appl Intell2013; 38(1): 88–98.
68.
FatimaIFahimMLeeYKLeeS. A unified framework for activity recognition-based behavior analysis and action prediction in Smart Homes. Sensors2013; 13(2): 2682–2699.
69.
FriedewaldMDa CostaOPunieYAlahuhtaPHeinonenS. Perspectives of ambient intelligence in the home environment. Telemat Inform2005; 22: 221–238.
70.
WoodGNewboroughM. Influencing user behaviour with energy information display systems for intelligent homes. Int J Energy Res2007; 31(1): 56–78.
71.
RashidiPCookDJ. Keeping the resident in the loop: adapting the Smart Home to the user. Syst Man Cybernet2009; 39(5): 949–959.
72.
Durrett JR, Burnell LJ and Priest JW. A hybrid analysis and architectural design method for development of smart home components. IEEE Wireless Commun 2002, 9(6): 85–91.
73.
SolaimaniSBouwmanH. A framework for the alignment of business model and business processes: a generic model for trans-sector innovation. J Bus Process Manage2012; 18(4): 655–679.
74.
LeitnerGAhlströmDHitzM. Usability – key factor of future Smart Home Systems. Home Informatics and Telematics: ICT for The Next Billion, Int Fed Inform Process2007, pp. 269–278.
75.
WuCLFuLC. Design and realization of a framework for human-system interaction in smart homes. Syst Man Cybernet2012; 42(1): 15–31.
BastenTGeilenMDe GrootH. Ambient intelligence: impact on embedded system design, Springer, 2003.
78.
HelalSWinklerBLeeCKaddouraYRanLGiraldoCKuchibhotlaSMannW. Enabling location-aware pervasive computing applications for the elderly. Proceedings of the 1st IEEE International Conference on Pervasive Computing and Communications, Texas: USA, 2003, pp. 531–536.
79.
Roy A, Das Bhaumik SK, Bhattacharya A, Basu K, Cook DJ and Das SK. Location aware resource management in Smart Homes. Proceedings of the first IEEE international conference on pervasive computing and communication, Fort Worth, TX, 2003.
80.
HuebscherMMcCannJ. Adaptive middleware for context-aware applications in Smart Homes. Proceedings of the 2nd workshop on middleware for pervasive and ad-hoc computing, New York: USA, 2006, pp. 111–116.
81.
LiuH. Context-aware agents in cooperative design environment. Int J Comput Appl Technol2010; 39(4): 187–198.
82.
Ranganathan A and Campbell RHA. Middleware for context-aware agents in ubiquitous computing environments. Middleware 2003. Springer Berlin Heidelberg, 2003, pp. 143–161.
83.
Gu J. Intelligent home-enjoying computing anywhere. In: Hemmje, et al. (eds) From Integrated publication and information systems to information and knowledge environments. Springer Berlin Heidelberg, pp. 310–319.
84.
HongXNugentCMulvennaMMcCleanSScotneyBDevlinS. Evidential fusion of sensor data for activity recognition in smart homes. Pervasive Mob Comput2009; 5(3): 236–252.
85.
GuTPungHKZhangDQ. Toward an OSGi-based infrastructure for context-aware applications. IEEE Pervasive Comput2004; 3(4): 66–74.
86.
CookDJYoungbloodMHeiermanEOGopalratnamKRaoSLitvinAKhawajaF. MavHome: an agent-based Smart Home. Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, Texas: IEEE International, 2003, pp. 521–524.
87.
SoldatosJIppokratisPStamatisKPolymenakosLCrowleyJL. Agent based middleware infrastructure for autonomous context-aware ubiquitous computing services. Comput Commun2007; 30(3): 577–591.
88.
AmigoniFGattiNPinciroliCRoveriM. What planner for ambient intelligence applications?IEEE Trans Syst Man Cybernet Part A Syst Hum2005; 35(1): 7–21.
89.
EncarnaçãoJLKirsteTAmbient intelligence: towards smart appliance ensembles. In: HemmjeM (eds). From integrated publication and information systems to virtual information and knowledge environments, Springer, 2005, pp. 261–270.
90.
RicquebourgVMengaDDurandDMarhicBDelahocheLLogéC. The smart home concept: our immediate future. Proceedings of the 1st IEEE international conference on E-learning in industrial electronics, Hammamet, Tunisia2006.
91.
GuTPungHKZhangDQ. A service-oriented middleware for building context-aware services. J Netw Comput Appl2005; 28(1): 1–18.
92.
ChenSYChangSFChangYF. Exploring a designer-oriented computer aided design interface for Smart Home device. Comput Aided Des Appl2010; 7(6): 875–888.
93.
ParkSHWonSHLeeJBKimSW. Smart Home – digitally engineered domestic life. J Pervasive Ubiquit Comput2003; 7(3–4): 189–196.
94.
HelalSMannWEl-ZabadaniHKingJKaddouraYJansenE. The gator tech Smart House: a programmable pervasive space. Comput Commun Rev2005; 38(3): 50–60.
95.
NouryNVironeGBarralonP. New trends in health Smart Homes. Proceedings of 5th international workshop on enterprise networking and computing in healthcare industry, Santa Monica, CA, USA, 2003, pp. 118–127.
96.
SkubicMAlexanderGPopescuMRantzMKellerJ. A smart home application to eldercare: current status and lessons learned. Technol Health Care2009; 17(3): 183–201.
97.
NucciMGrassiMPiazzaF. Ontology-based device configuration and management for smart homes. Neural nets and surroundings, Berlin Heidelberg: Springer, 2013, pp. 301–310.
98.
JahnkeJHD'EntremontMStierJ. Facilitating the programming of the smart home. IEEE Wireless Commun2002; 9(6): 70–76.
99.
AllenB. An integrated approach to Smart House technology for people with disabilities. Med Eng Phys1995; 18(3): 203–206.
100.
ValtchevDFrankovI. Service gateway architecture for a Smart Home. IEEE Commun Mag2002; 40(4): 126–132.
101.
SriskanthanNTanFKarandeA. Bluetooth based home automation system. Microprocess Microsyst2002; 26(6): 281–289.
102.
LinT-YTsengY-C. An adaptive sniff scheduling scheme for power saving in Bluetooth. IEEE Wireless Commun2002; 9(6): 92–103.
103.
LinY-JLatchmanHALeeMKatarS. A power line communication network infrastructure for the smart home. IEEE Wireless Commun2002; 9(6): 104–111.
104.
MarplesDKriensP. The Open Service Gate-way initiative: an introductory overview. IEEE Commun Mag2001; 39(12): 110–114.
105.
HanDMLimJH. Design and implementation of smart home energy management systems based on Zigbee. Consumer Electron2010; 56(3): 1417–1425.
106.
CaoHLeungVChowCChanH. Enabling technologies for wireless body area networks: a survey and outlook. IEEE Commun Mag2009; 47(12): 84–93.
107.
JonesVMBultsRGAKonstantasDVierhoutPAM. Healthcare PANs: Personal Area Networks for trauma care and home care. Proceedings of 4th international symposium on wireless personal multimedia communications (WPMC), Aalborg: Denmark, 2001, pp. 1369–1374.
108.
NicholasJMyersBA. Controlling home and office appliances with smart phones. IEEE Pervasive Comput2006; 5(3): 60–67.
109.
HanDMLimJH. Smart home energy management system using IEEE 802.15. 4 and zigbee. IEEE Trans Consumer Electron2010; 56(3): 1403–1410.
110.
OrnetzederMRohracherH. User-led innovations and participation processes: lessons from sustainable energy technologies. Energy Policy2006; 34(2): 138–150.
111.
CetinaCGinerPFonsJPelechanoV. Autonomic computing through reuse of variability models at runtime: the case of smart homes. Comput Commun Rev2009; 42(10): 37–43.
112.
Ali FahmiPNKodirovEArdiansyahDChoiDLeeG. Hey home, open your door, I’m back! authentication system using ear biometrics for smart home. Int J Smart Home2013; 7(1): 173–182.
113.
DemongeotJVironeGDuchêneFBenchetritGHervéTNouryNRialleV. Multi-sensors acquisition, data fusion, knowledge mining and alarm triggering in health smart homes for elderly people. C R Biol2002; 325(6): 673–682.
114.
AartsEWichertR. Ambient intelligence: principles – applications – trends. Technology guide, Berlin Heidelberg: Springer, 2009, pp. 224–249.
QianKMaXDaiXFangF. Flexible ambient service discovery and composition for component-based robotic system. J Ambient Intell Smart Environ2012; 4(6): 547–562.
122.
CharlonYBourennaneWBettaharFCampoE. Activity monitoring system for elderly in a context of smart home. IRBM2013; 34(1): 60–63.
123.
BoumaHFozardJLBouwhuisDGTaipaleVT. Gerontechnology in perspective. Gerontechnology2007; 6(4): 190–216.
124.
GraafmansJATaipaleVCharnessNE. Gerontechnology: a sustainable investment in the future, Amsterdam: IOS Press, 1998.
125.
StipERialleV. Environmental cognitive remediation in Schizophrenia: ethical implications of Smart Home technology. Can J Psychiatry2005; 50(5): 281–291.
126.
FrisardiVImbimboBP. Gerontechnology for demented patients: Smart homes for smart aging. J Alzheimers Dis2011; 23(1): 143–146.
127.
MarvinSChappellsHGuyS. Pathways of smart metering development: shaping environment innovation. Comput Environ Urban Syst1999; 23(2): 109–126.
128.
PedrasaMAASpoonerTDMacGillIF. Coordinated scheduling of residential distributed energy resources to optimize smart home energy services. Smart Grid2010; 1(2): 134–143.
129.
GungorVCSahinDKocakTErgutSBuccellaCCecatiCHanckeGP. Smart grid and smart homes: key players and pilot projects. IEEE Ind Electron Mag2012; 6(4): 18–34.
130.
TsuiKMChanSC. Demand response optimization for smart home scheduling under real-time pricing. IEEE Trans Smart Grid2012; 3(4): 1812–1821.
131.
KamilarisAPitsillidesAYiallourosM. Building energy-aware smart homes using web technologies. J Ambient Intell Smart Environ2013; 5(2): 161–186.
132.
HledikR. How green is the smart grid?Electricity J2009; 22(3): 29–41.
133.
ShiYXieWXuGShiRChenEMaoYLiuF. The smart classroom: merging technologies for seamless tele-education. IEEE Pervasive Comput2003; 2(2): 47–55.
134.
VázquezFIKastnerWKoflerM. Holistic smart homes for air quality and thermal comfort. Intell Decis Technol2013; 7(1): 23–43.
135.
KimH-HLeeK-CLeeS. Location-based human-adaptive air conditioning by measuring physical activity with a non-terminal-based indoor positioning system. Build Environ2013; 62(April): 167–173.
136.
GuoBFujimuraRZhangDImaiM. Design-in-play: improving the variability of indoor pervasive games. Multimed Tools Appl2012; 59(1): 259–277.
137.
JunestrandSKeijerUTollmarK. Private and public digital domestic spaces. Int J Hum-Comput Stud2001; 54(5): 753–778.
138.
NugentCDFinlayDDFioriniPTsumakiYPrasslerE. Editorial home automation as a mean of independent living. Automat Sci Eng2008; 5(1): 1–9.
139.
SurieDPedersonTJanlertL-E. The easy ADL home: a physical-virtual approach to domestic living. J Ambient Intell Smart Environ2010; 2(3): 287–310.
140.
Kidd CD, Orr R, Abowd GD, Atkeson CG, Essa IA, MacIntyre B, Mynatt E, Starner TE and Newstetter W. The aware home: a living laboratory for ubiquitous computing research. In: Streitz NA, et al. (eds) Cooperative buildings. Integrating information, organizations, and architecture, LNCS 1670, Springer Berlin Heidelberg, 1999, pp. 191–198.
141.
RingbauerBSmart Home control via PDA. In: SloaneA (eds). Home-Oriented Informatics and Telematics, Springer US, 2005; Vol 178: 101–119.
142.
IntilleSLarsonKBeaudinJSNawynJTapiaKKaushikP. A living laboratory for the design and evaluation of ubiquitous computing technologies. Extended abstracts on human factors in computing systems, New York: USA, 2005, pp. 1941–1944.
143.
IntilleS. The goal: Smart people, not smart homes. Proceedings of ICOST2006: The International Conference on Smart Homes and Health Telematics, Amsterdam: IOS Press, 2006, pp. 3–6.
144.
SandströmGGustavssonSLundbergSKeijerUJunestrandS. Long-term viability of Smart Home systems. Proceedings of home-oriented informatics and telematics conference (HOIT), UK: York University, 2005, pp. 71–86.
145.
Intille SS, Larson K, Tapia EM, Beaudin JS, Kaushik P, Nawyn J and Rockinson R. Using a live-in laboratory for ubiquitous computing research. In: Fishkin KP, et al. (eds) Pervasive Computing, LNCS 3968, Springer Berlin Heidelberg, 2006, pp. 349--365.
146.
JingYJiangL. Smart home: Chicago’s greenest house and green architecture popularity. Adv Mater Res2012; 598(November): 87–91.
147.
RemagninoPForestiGL. Ambient intelligence: a new multidisciplinary paradigm. Syst Man Cybernet2005; 35(1): 1–6.
148.
NikayinFDe ReuverM. What motivates small businesses for collective action in smart living industry. J Small Business and Enterprise Dev2013, pp. forthcoming–forthcoming.
149.
NikayinFDe ReuverM. Opening up the Smart Home: a classification of smart living service platforms. Int J E-services Mob Appl2013; 5(2): 37–53.
150.
HindusDThe importance of homes in technology research. In: StreitzNA (eds). Cooperative buildings. integrating information, organizations, and architecture, LNCS 1670: Springer Berlin Heidelberg, 1999, pp. 199–207.
151.
CalvertKLEdwardsWKFeamsterNGrinterREDengYZhouX. Instrumenting home networks. Comput Commun Rev2011; 41(1): 84–89.
152.
KinderT. Social innovation in services: technologically assisted new care models for people with dementia and their usability. Int J Technol Manage2010; 51(1): 106–120.
153.
Bierhoff I, van Berlo A, Abascal J, Allen B, Civit A, Fellbaum K, Kemppainen E, Bitterman N, Freitas D, Kristiansson K. Smart Home environment. In: Roe PRW (ed.) Towards an inclusive future, impact and wider potential of information and communication technologies. COST, Brussels, 2007, pp. 110–156.
154.
KorhonenIParkkaJVan GilsM. Health monitoring in the home of the future. IEEE Eng Med Biol Mag2003; 22(3): 66–73.
155.
PaetzAGDütschkeEFichtnerW. Smart Homes as a means to sustainable energy consumption: a study of consumer perceptions. J Consum Policy2012; 35(1): 23–41.
156.
FaruquiAHarrisDHledikR. Unlocking the €53 billion savings from smart meters in the EU: how increasing the adoption of dynamic tariffs could make or break the EU’s smart grid investment. Energy Policy2010; 38(10): 6222–6231.
157.
AartsE. Into ambient intelligence. True vision, Springer, 2006, pp. 1–16.
158.
GilsingV. Exploration, exploitation and co-evolution in innovation networks. ERIM, Rotterdam: RSM, 2003.
159.
WeiserM. The computer for the 21st century. Sci Am1991; 265(3): 94–104.
