Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Universal Access in the Information Society
Published in: Universal Access in the Information Society 1/2024

16-11-2022 | Long Paper

Usage and impact of the internet-of-things-based smart home technology: a quality-of-life perspective

Authors: Leong Yee Rock, Farzana Parveen Tajudeen, Yeong Wai Chung

Published in: Universal Access in the Information Society | Issue 1/2024

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The aim of this paper is to explore the usage and impact of the Internet-of-Things-based Smart Home Technology (IoT-SHT) in Malaysia. Face-to-face interviews were conducted with a total of eleven IoT-SHT users who had a minimum of 2-year usage experience. The semi-structured interview consisted of six questions which were compartmentalised into two sections. Common themes were identified through constant comparison of the inductive data in the coding process. The in-depth interview uncovered six uses of IoT-SHT. Mainly, it was used for real-time remote control, surveillance, sensing, home automation, entertainment, and family communication. It seems clear that the IoT-SHT helped people to save time, changed their lives, improved security, safety, environment condition, fun, convenience, and comfort within the home ground. It also facilitated better health tracking, family care, and energy conservation. Psychologically, the IoT-SHT also enhanced one’s image, offered better companionship, and improved the sense of belongingness, and closeness within the family. This study fills the research gap by providing insights into how the IoT-SHT was used, thereby benefiting users in Malaysia. With the arrival of industrial revolution 4.0, a comprehensive knowledge on the usage of IoT is pertinent. The findings of this study may also serve as a foundation for future research in IoT-SHT adoption. Practically, this study accelerates IoT-SHT diffusion by providing insights to vendors in designing better IoT products and services, based on the popular usages and impactful benefits.
previous article Development of an eye-tracking and voice command interface to facilitate GUI operation for people with disabled upper limbs
next article First steps in the development of a support application for easy-to-read adaptation

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Appendix
Available only for authorised users
Literature
1.
Abdelouahid, R.A., Debauche, O., Marzak, A.: Internet of things: a new interoperable IoT platform. Application to a smart building. Proced Comput Sci 191, pp. 511–517 (2021)CrossRef
2.
Quasim, M.T.: Resource Management and Task Scheduling for IoT using Mobile Edge Computing. Wireless Personal Communications (2021)
3.
Bhagat, M., Kumar, D., Balgi, S.M.: Application of internet of things in digital pedagogy. In: Computational Intelligence in Digital Pedagogy. Springer, pp. 219–234 (2021)
4.
Touqeer, H., Zaman, S., Amin, R. et al. Smart home security: challenges, issues and solutions at different IoT layers. J. Supercomput 77, pp. 14053–14089 (2021)
5.
6.
Raghuvanshi, A., Singh, U.K., Shuaib, M., Alam, S.: An investigation of various applications and related security challenges of Internet of things. Mater. Today: Proc. 51, pp. 715–719 (2021)
7.
8.
Mamonov, S., Benbunan-Fich, R.: Unlocking the smart home: exploring key factors affecting the smart lock adoption intention. Inf. Technol. People 34(2), pp. 835–861 (2021).CrossRef
9.
10.
Marikyan, D., Papagiannidis, S., Alamanos, E.: A systematic review of the smart home literature: a user perspective. Technol. Forecast. Soc. Chang. 138, pp. 139–154 (2019).CrossRef
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
Thakur, N., Han, C.Y.: A context-driven complex activity framework for smart home. In: 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, pp. 801–806 (2018)
21.
Ain, Q.-U., Iqbal, S., Mukhtar, H.: Improving quality of experience using fuzzy controller for smart homes. IEEE Access 10, pp. 11892–11908 (2021)CrossRef
22.
Bradfield, K., Allen, C.: User perceptions of and needs for smart home technology in South Africa. In: Advances in Informatics and Computing in Civil and Construction Engineering. Springer, pp. 255–262 (2019)
23.
Leong, Y.R., Tajudeen, F.P., Yeong, W.C.: Bibliometric and content analysis of the internet of things research: a social science perspective. Online Inf. Rev. 45(6), pp. 1148–1166 (2021)CrossRef
24.
Lu, Y., Papagiannidis, S., Alamanos, E.: Adding ‘things’ to the internet: exploring the spillover effect of technology acceptance. Journal of Marketing Management 37(7–8), 626–650 (2021)
25.
Lakshmi, S.S., Gupta, D.: The smart set: a study on the factors that affect the adoption of smart home technology. In: Machine Learning for Predictive Analysis. Springer, pp. 443–450 (2021)
26.
Azmi, A., Ibrahim, R., Ghafar, M.A., Rashidi, A.: Smarter real estate marketing using virtual reality to influence potential homebuyers' emotions and purchase intention. Smart Sustain Built Environ. (2021). (ahead-of-print)
27.
Barua, Z., Barua, A.: Acceptance and usage of mHealth technologies amid COVID-19 pandemic in a developing country: the UTAUT combined with situational constraint and health consciousness. J. Enabl. Technol. 15(1), pp. 1–22 (2021)ADSCrossRef
28.
Zaidan, A., Zaidan, B.: A review on intelligent process for smart home applications based on IoT: coherent taxonomy, motivation, open challenges, and recommendations. Artif. Intell. Rev. 53(1), pp. 141–165 (2020)CrossRef
29.
Alaa, M., Zaidan, A.A., Zaidan, B.B., Talal, M., Kiah, M.L.M.: A review of smart home applications based on Internet of Things. J. Netw. Comput. Appl. 97, pp. 48–65 (2017)CrossRef
30.
Rasyidah, Z.A., Hariati, A.H., Rosadah, M., Maryanti, M.R.: Perceptions on smart home concept among the millennials in Johor. In: IOP Conference Series: Materials Science and Engineering. IOP Publishing, p. 012055 (2020)
31.
Wei, N. T., Baharudin, A. S., A. Hussein, L., & Hilmi, M. F.: Factors Affecting User’s Intention to Adopt Smart Home in Malaysia. International Journal of Interactive Mobile Technologies (iJIM), 13(12), pp. 39–54 (2019)
32.
Aziz, S., Nasir, S.N.C.M.: Internet of things (IoT) and smart home technology in Malaysia: issues and challenges for research in adoption IoT and latest technology for home building. In: AIP Conference Proceedings. AIP Publishing LLC, p. 020094 (2021)
33.
Giles Birchley, R.H., Madeleine Murtagh, R.M., Peter Flach, R.G.-H.: Smart homes, private homes? An empirical study of technology researchers’ perceptions of ethical issues in developing smart-home health technologies. Ethics Public Health, Med Law, Health Policy 18(1), pp. 1–13 (2017)
34.
Strengers, Y., Hazas, M., Nicholls, L., Kjeldskov, J., Skov, M.B.: Pursuing pleasance: interrogating energy-intensive visions for the smart home. Int. J. Hum Comput Stud. 136, 102379 (2020)CrossRef
35.
Fioretto, F., Dovier, A., Pontelli, E.: Distributed multi-agent optimization for smart grids and home automation. Intell. Artif. 12, pp. 67–87 (2018)CrossRef
36.
Mtshali, P., Khubisa, F.: A smart home appliance control system for physically disabled people. In: 2019 Conference on Information Communications Technology and Society (ICTAS). IEEE, pp. 1–5 (2019)
37.
Singh, D., Psychoula, I., Kropf, J., Hanke, S., Holzinger, A.: Users’ perceptions and attitudes towards smart home technologies. In: International Conference on Smart Homes and Health Telematics, pp. 203–214. Springer, Cham (2018)
38.
Alborz, A.: The nature of quality of life: a conceptual model to inform assessment. J. Policy Pract. Intell. Disab. 14(1), pp. 5–30 (2017)
39.
Sequeiros, H., Oliveira, T., Thomas, M.A.: The impact of IoT smart home services on psychological well-being. Inf. Syst. Front. (2021)CrossRef
40.
Talebkhah, M., Sali, A., Marjani, M., Gordan, M., Hashim, S.J., Rokhani, F.Z.: IoT and big data applications in smart cities: recent advances, challenges, and critical issues. IEEE Access 9, pp. 55465–55484 (2021)CrossRef
41.
Chatterjee, S., Kar, A.K., Gupta, M.P.: Success of IoT in smart cities of India: an empirical analysis. Gov. Inf. Q. 35(3), pp. 349–361 (2018)CrossRef
42.
Pal, D., Funilkul, S., Vanijja, V.: The future of smartwatches: assessing the end-users’ continuous usage using an extended expectation-confirmation model. Univer. Access Inf. Soc. 19(2), pp. 261–281 (2018)CrossRef
43.
Roy, S.K., Balaji, M.S., Sadeque, S., Nguyen, B., Melewar, T.C.: Constituents and consequences of smart customer experience in retailing. Technol. Forecast. Soc. Chang. 124, pp. 257–270 (2017)CrossRef
44.
Ismail, F., Ahmad, S., Hashim, U.R.: Requirements for smart home application. Int. J. Innovative Technol. Exploring Eng. 8(12), 1760–1764 (2019)
45.
Maslow, A.H.: Preface to motivation theory. Psychosom. Med. 5(1), pp. 85–92 (1943)CrossRef
46.
Hutajulu, S., Dhewanto, W., Prasetio, E.A.: Two Scenarios for 5G Deployment in Indonesia. Elsevier, New York, p 120221 (2020)
47.
Younan, M., Houssein, E.H., Elhoseny, M., Ali, A.A.: Challenges and recommended technologies for the industrial internet of things: a comprehensive review. Measurement 151, 107198 (2020)CrossRef
48.
49.
Kamal, S., Lim, V.-C.: Forest reserve as an inclusive or exclusive space? Engaging orang asli as stakeholder in protected area management. J. Trop. For. Sci. 31, pp. 278–285 (2019)
50.
Mohit, M.A.: Quality-of-life studies in natural and built environment: challenges and emerging issues. Asian J. Behav. Stud. (AjBeS) 3(10), pp. 147–157 (2018)CrossRef
51.
TOV, W.: Well-being concepts and components. In: Handbook of subjective well-being, pp. 1–15 (2018)
52.
Tripathi, N.: A valuation of Abraham Maslow’s theory of self-actualization for the enhancement of quality of life. Indian J. Health Well Being 9(3), pp. 499–504 (2018)
53.
Djafri, R., Mohamed Osman, M., Suzilawati Rabe, N., Shuid, S.: Investigating quality of life by residents of social housing in eastern Algeria: a structural equation modelling. J. Eng., Des. Technol. 18(6), pp. 1907–1926 (2020)CrossRef
54.
Shin, D.-H.: Conceptualizing and measuring quality of experience of the internet of things: exploring how quality is perceived by users. Inf. Manag. 54(8), pp. 998–1011 (2017)CrossRef
55.
Georgiev, A., Schlögl, S.: Smart home technology: an exploration of end user perceptions. Innov. Lösungen Alter. Ges.: Konf. Smart Lives 18(20.02), 2018 (2018)
56.
Coskun, A., Kaner, G., Bostan, İ. (2018). Is smart home a necessity or a fantasy for the mainstream user? A study on users’ expectations of smart household appliances. Int. J. Des. 12(1), pp. 7–20
57.
Schulenberg, J.L.: Analysing police decision-making: Assessing the application of a mixed-method/mixed-model research design. Int. J. Soc. Res. Methodol. 10(2), pp. 99–119 (2007)CrossRef
58.
Pan, W.: The implementation of electronic recordkeeping systems. Rec. Manag. J. 27(1), 84–98 (2017)CrossRef
59.
Alqahtani, M.M., Arnout, B.A., Fadhel, F.H., Sufyan, N.S.S.: Risk perceptions of COVID-19 and its impact on precautionary behavior: a qualitative study. Patient Educ. Couns. 104(8), pp. 1860–1867 (2021)PubMedPubMedCentralCrossRef
60.
Kyngäs, H., Kääriäinen, M., Elo, S.: The trustworthiness of content analysis. In: The Application of Content Analysis in Nursing Science Research, pp. 41–48. Springer (2020)
61.
Pal, D., Funilkul, S., Vanijja, V.: The future of smartwatches: assessing the end-users’ continuous usage using an extended expectation-confirmation model. Univer. Access Inf. Soc. 19(2), pp. 261–281 (2020)CrossRef
62.
Zomorodi, M., Lynn, M.R.: Critical care nurses’ values and behaviors with end-of-life care: perceptions and challenges. J. Hosp. Palliat. Nurs. 12(2), pp. 89–96 (2010)CrossRef
63.
Malterud, K., Siersma, V.D., Guassora, A.D.: Sample size in qualitative interview studies: guided by information power. Qual. Health Res. 26(13), pp. 1753–1760 (2016)PubMedCrossRef
64.
65.
Rowlands, T., Waddell, N., McKenna, B.: Are we there yet? A technique to determine theoretical saturation. J. Comput. Inf. Syst. 56(1), pp. 40–47 (2016)
66.
Sim, J., Saunders, B., Waterfield, J., Kingstone, T.: Can sample size in qualitative research be determined a priori? Int. J. Soc. Res. Methodol. 21(5), pp. 619–634 (2018)CrossRef
67.
Braun, V., Clarke, V.: To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales. Qual. Res. Sport, Exerc. Health 13(2), pp. 201–216 (2021)CrossRef
68.
69.
70.
Yang, H., Lee, W., Lee, H.: IoT smart home adoption: the importance of proper level automation. J. Sens. 2018, 6464036 (2018)CrossRef
71.
Bhoir, H.D., Dongre, N.M., Gulwani, R.R.: Visibility enhancement for remote surveillance system. In: 2016 International Conference on Inventive Computation Technologies (ICICT), vol. 3, pp. 1–4. IEEE (2016)
72.
Chiew, L.S., Amerudin, S., Yusof, Z.M.: A spatial analysis of the relationship between socio-demographic characteristics with burglar behaviours on burglary crime. In: IOP Conference Series: Earth and Environmental Science, p. 012050. IOP Publishing (2020)
73.
Liu, X., Han, B., Qian, F., Varvello, M.: LIME: understanding commercial 360° live video streaming services. In: Proceedings of the 10th ACM Multimedia Systems Conference, pp. 154–164 (2019)
74.
Su, Z., Lin, Z., Ai, J., Li, H.: Rating prediction in recommender systems based on user behavior probability and complex network modeling. IEEE Access 9, 30739–30749 (2021)CrossRef
75.
Ali, S.M.M., Augusto, J.C., Windridge, D.: Improving the adaptation process for a new smart home user. In: Bramer, M., Petridis, M. (eds.) Artificial intelligence XXXVI, pp. 421–434. Springer, Cham (2019)CrossRef
76.
77.
78.
Kim, N., Yoon, B., Jin, S., Seo, H., Kwon, O., Kim, J.: Internet of family: increasing social presence of family members via sharing ambient IoT usage data. In: Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, pp. 1–9 (2017)
79.
Rogers, E.M.: Diffusion of Innovations. Simon and Schuster (2010)
80.
Dong, X., Chang, Y., Wang, Y., Yan, J.: Understanding usage of internet of things (IOT) systems in China: cognitive experience and affect experience as moderator. Inf. Technol. People 30(1), pp. 117–138 (2017)CrossRef
81.
Agrawal, D., Bhagwat, R., Bandopadhyay, R., Kunapareddi, V., Burden, E., Halse, S., Wisniewski, P., Kropczynski, J.: Enhancing smart home security using co-monitoring of IoT devices. In: Companion of the 2020 ACM International Conference on Supporting Group Work, pp. 99–102 (2020)
82.
Song, J., Li, Y.: Artificial intelligence and modern home design. MATEC Web Confer. 227, 02004 (2018)ADSCrossRef
83.
Luoh, H.-F., Tsaur, S.-H., Lo, P.-C.: Cooking for fun: the sources of fun in cooking learning tourism. J. Destin. Mark. Manag. 17, 100442 (2020)CrossRef
84.
Cook, E.J., Randhawa, G., Guppy, A., Sharp, C., Barton, G., Bateman, A., et al.: Exploring factors that impact the decision to use assistive telecare: perspectives of family care-givers of older people in the United Kingdom. Ageing Soc. 38(9), pp. 1912–1932 (2018)CrossRef
85.
Sung, E., Calantone, R., Huddleston, P.: Motivators of prestige brand purchase: testing cultural (in) stability of measures over time across the United States, Poland, and South Korea. J. Int. Consum. Mark. 32(1), pp. 15–32 (2020)CrossRef
86.
Mamonov, S., Koufaris, M.: Fulfillment of higher-order psychological needs through technology: the case of smart thermostats. Int. J. Inf. Manage. 52, 102091 (2020)CrossRef
87.
Schill, M., Godefroit-Winkel, D., Diallo, M.F., Barbarossa, C.: Consumers’ intentions to purchase smart home objects: Do environmental issues matter? Ecol. Econ. 161, pp. 176–185 (2019)CrossRef
88.
Thakar, A.T., Pandya, S.: Survey of IoT enables healthcare devices. In: 2017 International Conference on Computing Methodologies and Communication (ICCMC), pp. 1087–1090 (2017)
89.
Dawi, N.M., Jalil, N.A.: Integrated model for smartwatch adoption. In: Proceedings of the International Conference on Advanced Information Science and System, pp. 1–7 (2019)
90.
Biundo, S., Höller, D., Schattenberg, B., Bercher, P.: Companion-technology: an overview. KI-Künstl. Intell. 30(1), pp. 11–20 (2016)CrossRef
91.
Gibson, R., Kilcullen, M.: The impact of web-cameras on parent-infant attachment in the neonatal intensive care unit. J. Pediatr. Nurs. 52, e77–e83 (2020)PubMedCrossRef
92.
Seo, D.W., Kim, H., Kim, J.S., Lee, J.Y.: Hybrid reality-based user experience and evaluation of a context-aware smart home. Comput. Ind. 76, pp. 11–23 (2016)CrossRef
93.
Cui, M., Liu, Y., Qian, J.: Achieving continuous interaction with users: an in-depth case study of Xiaomi. J. Eng. Tech. Manage. 60, 101630 (2021)CrossRef
94.
Antoninetti, M.: Remote Sensing: Pollution. Managing Human and Social Systems, pp. 261–279. CRC Press (2020)
95.
Eller, E., Frey, D.: Psychological perspectives on perceived safety: social factors of feeling safe. In: Perceived Safety, pp. 43–60. Springer (2019)
96.
Park, H.: Human comfort-based-home energy management for demand response participation. Energies 13(10), 2463 (2020)CrossRef
97.
Del Rio, D.D.F., Sovacool, B.K., Bergman, N., Makuch, K.E.: Critically reviewing smart home technology applications and business models in Europe. Energy Policy 144, 111631 (2020)CrossRef
98.
Hong, A., Nam, C., Kim, S.: What will be the possible barriers to consumers’ adoption of smart home services? Telecommun. Policy 44(2), 101867 (2020)CrossRef
99.
Epp, A.M., Price, L.L.: Family identity: a framework of identity interplay in consumption practices. J. Consum. Res. 35(1), pp. 50–70 (2008)CrossRef
100.
Taipale, S.: What Is a ‘Digital Family’? Intergenerational Connections in Digital Families, pp. 11–24. Springer (2019)
101.
Liu, Y., Tamura, R.: How can smart home help “New elders” aging in place and building connectivity. In: 2020 16th International Conference on Intelligent Environments (IE), pp. 100–107. IEEE (2020)
102.
Yang, A., Zhang, C., Chen, Y., Zhuansun, Y., Liu, H.: Security and privacy of smart home systems based on the Internet of Things and stereo matching algorithms. IEEE Internet Things J. 7(4), pp. 2521–2530 (2019)CrossRef
103.
Idachaba, F.: Remote operations implementation: a tool for improved HSE management. Pet. Train. J. Int. J. 1, pp. 1–6 (2014)
104.
Rajkumar, K., Hariharan, U.: Impact of IoT-Enabled Smart Cities. In: Solanki A, Kumar A, and Nayyar A (eds). A systematic review and challenges. Digital cities roadmap (2021)
105.
Laghari, A.A., Wu, K., Laghari, R.A., et al.: a review and state of art of internet of things (IoT). Arch Computat Methods Eng 29, 1395–1413 (2022)
106.
Baudier, P., Ammi, C., Deboeuf-Rouchon, M.: Smart home: highly-educated students’ acceptance. Technol. Forecast. Soc. Chang. 153, 119355 (2020)CrossRef
107.
Schieweck, A., Uhde, E., Salthammer, T., Salthammer, L.C., Morawska, L., Mazaheri, M., et al.: smart homes and the control of indoor air quality. Renew. Sustain. Energy Rev. 94, pp. 705–718 (2018)CrossRef
108.
Sequeiros, H., Oliveira, T., Thomas, M.A.: the Impact of IoT smart home services on psychological well-being. Inf. Syst. Front. 24, 1009–1026 (2022)
109.
Ahad, M.A., Paiva, S., Tripathi, G., Feroz, N.: Enabling technologies and sustainable smart cities. Sustain. Cities Soc. 61, 102301 (2020)CrossRef
110.
Dermody, G., Fritz, R., Glass, C., Dunham, M., Whitehead, L.: Factors influencing community-dwelling older adults’ readiness to adopt smart home technology: a qualitative exploratory study. J. Adv. Nurs. 77(12), pp. 4847–4861 (2021)PubMedCrossRef
111.
Wilson, C.: Is it love or loneliness? Exploring the impact of everyday digital technology use on the wellbeing of older adults. Ageing Soc. 38(7), pp. 1307–1331 (2018)CrossRef
112.
Fabi, V., Spigliantini, G., Corgnati, S.P.: Insights on smart home concept and occupants’ interaction with building controls. Energy Procedia 111, pp. 759–769 (2017)CrossRef
113.
Abdelhamid, B., Al-Habal, A., Khattab, A.: Energy-efficient layered IoT smart home system. In: Joint International Conference on Design and Construction of Smart City Components, pp. 170–177. Springer (2019)
114.
Ko, H., Kim, J.H., An, K., Mesicek, L., Marreiros, G., Pan, S.B., et al.: Smart home energy strategy based on human behaviour patterns for transformative computing. Inf. Process. Manage. 57(5), 102256 (2020)CrossRef
115.
Al-Kuwari, M., Ramadan, A., Ismael, Y., Al-Sughair, L., Gastli, A., Benammar. M.: Smart-home automation using IoT-based sensing and monitoring platform. In: Published in: 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018), pp. 1–6 (2018)
116.
Gram-Hanssen, K., Darby, S.J.: “Home is where the smart is”? Evaluating smart home research and approaches against the concept of home. Energy Res. Soc. Sci. 37, pp. 94–101 (2018)CrossRef
117.
Jamwal, R., Jarman, H.K., Roseingrave, E., Douglas, J., Winkler, D.: Smart home and communication technology for people with disability: a scoping review. Disability and rehabilitation: assistive technology 17(6), 624–644 (2022)
118.
Demir, B., Ventura, K.: Exploring the internet of things within the new generation smart home systems: a qualitative study. In: Özen, E., Grima, S., Gonzi, R.D. (eds.) New challenges for future sustainability and wellbeing, pp. 363–376. Emerald Publishing Limited (2021)CrossRef
119.
Illahi, A.A.C., Culaba, A., Dadios, E.P.: Internet of things in the Philippines: a review. In: 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), pp. 1–6. IEEE (2019)
120.
Nikou, S.: Factors driving the adoption of smart home technology: an empirical assessment. Telemat. Inform. 45, 101283 (2019)CrossRef
121.
Prayash, H.S.H., Shaharear, M.R., Islam, M.F., Islam, S., Hossain, N., Datta, S.: Designing and optimization of an autonomous vacuum floor cleaning robot. In: 2019 IEEE International Conference on Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON), pp. 25–30. IEEE (2019)
122.
123.
Yu, E., Hong, A., Hwang, J.: A socio-technical analysis of factors affecting the adoption of smart TV in Korea. Comput. Hum. Behav. 61, pp. 89–102 (2016)CrossRef
124.
Hashemi, S.H., Williams, K., El Kholy, A., Zitouni, I., Crook, P.A.: Measuring user satisfaction on smart speaker intelligent assistants using intent sensitive query embeddings. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pp. 1183–1192. Association for Computing Machinery, Torino (2018)
125.
126.
Floegel, D.: Labor, classification and productions of culture on Netflix. J Documentation ahead-of-print (2020)
127.
Motlagh, N.H., Khajavi, S.H., Jaribion, A., Holmstrom, J.: An IoT-based automation system for older homes: A use case for lighting system. In: 2018 IEEE 11th Conference on Service-Oriented Computing and Applications (SOCA), pp. 1–6. IEEE (2018)
128.
Thangamani, A., Ganesh, L., Tanikella, A., Prasad, A.M.: Occupant adoption of IoT based environment service in office spaces: an empirical investigation. In: International Working Conference on Transfer and Diffusion of IT, pp. 685–693. Springer (2020)
129.
Ganesan, A., Hassan, M.: Automated shades with remote control and day-light sensor. Invert. J. Sci. Technol. 12(3), pp. 90–94 (2019)
130.
Pirzada, P., Wilde, A., Doherty, G.H., Harris-Birtill, D.: Ethics and acceptance of smart homes for older adults. Informatics for Health and Social Care 47(1), 10–37 (2022)PubMedCrossRef
131.
132.
133.
Rashid, R.A., Chin, L., Sarijari, M.A., Sudirman, R., Ide, T.: Machine learning for smart energy monitoring of home appliances using IoT. In: 2019 11th International Conference on Ubiquitous and Future Networks (ICUFN), pp. 66–71 (2019)
134.
Alkawsi, G.A., Ali, N., Mustafa, A.S., Baashar, Y., Alhussian, H., Alkahtani, A., et al.: A hybrid SEM-neural network method for identifying acceptance factors of the smart meters in Malaysia: Challenges perspective. Alex. Eng. J. 60(1), pp. 227–240 (2021)CrossRef
135.
136.
HaddadPajouh, H., Dehghantanha, A., Parizi, R.M., Aledhari, M., Karimipour, H.: A survey on internet of things security: Requirements, challenges, and solutions. Internet Things 14, 100129 (2021)CrossRef
137.
Iqbal, J., Khan, M., Talha, M., Farman, H., Jan, B., Muhammad, A., et al.: A generic internet of things architecture for controlling electrical energy consumption in smart homes. Sustain. Cities Soc. 43, pp. 443–450 (2018)CrossRef
138.
Beştepe, F., Yildirim, S.Ö.: Acceptance of IoT-based and sustainability-oriented smart city services: a mixed methods study. Sustain. Cities Soc. 80, 103794 (2022)CrossRef
139.
Haque, A.B., Bhushan, B., Dhiman, G.: Conceptualizing smart city applications: requirements, architecture, security issues, and emerging trends. Expert. Syst. 39(5), e12753 (2022)CrossRef
140.
Mohamad, Z.Z., Musa, S.U.M., Razak, R.A., Ganapathy, T., Mansor, N.A.: Internet of things: the acceptance and its impact on well-being among millennials. Int. J. Serv. Technol. Manage. 27(4–6), pp. 265–279 (2021)CrossRef
141.
Prokofiev, A.O., Smirnova, Y.S.: Counteraction against Internet of Things botnets in private networks. In: 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), pp. 301–305. IEEE (2019)
142.
Hargreaves, T., Wilson, C.: Perceived benefits and risks of smart home technologies. In: Smart Homes and their Users, pp. 35–53. Springer (2017)
143.
Cash, P., Isaksson, O., Maier, A., Summers, J.: Sampling in design research: eight key considerations. Des. Stud. 78, 101077 (2022)CrossRef
144.
Metadata
Title
Usage and impact of the internet-of-things-based smart home technology: a quality-of-life perspective
Authors
Leong Yee Rock
Farzana Parveen Tajudeen
Yeong Wai Chung
Publication date
16-11-2022
Publisher
Springer Berlin Heidelberg
Published in
Universal Access in the Information Society / Issue 1/2024
Print ISSN: 1615-5289
Electronic ISSN: 1615-5297
DOI
https://doi.org/10.1007/s10209-022-00937-0

Other articles of this Issue 1/2024

Universal Access in the Information Society 1/2024 Go to the issue

Long Paper

Usability and transparency in the design of a tool for automatic support for web accessibility validation

Long Paper

User acceptance of smart home voice assistant: a comparison among younger, middle-aged, and older adults

Long Paper

Assessing touchscreen operations under vibration: effects of vibrational environments, button size, and button spacing on digit- and letter-entry task performance

Long Paper

Empowering soft skills in children with ADHD through the co-creation of tangible tabletop games

Long Paper

Digital media in intergenerational communication: Status quo and future scenarios for the grandparent–grandchild relationship

Long Paper

Picture superiority effect in authentication systems for the blind and visually impaired on a smartphone platform

Premium Partner

    Image Credits