Skip to main content
SpringerLink
Log in

Investigating Control Method of User Interaction with Multi-device in Smart Home

  • Conference paper
  • First Online:
Cross-Cultural Design (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14023))

Included in the following conference series:

  • 637 Accesses

Abstract

In order to better understand smart home users’ preference for control methods, this study focused on user interaction with multiple smart home devices in daily home use scenarios. This study designed a within-subject experiment with control method as the independent variable and perceived ease of use, perceived usefulness, attitude, intention to use, and satisfaction as dependent variables. The results showed that the centralized control method had a higher positive effect on users’ perceived ease of use, perceived usefulness, intention to use, and attitude compared to the decentralized control method, but users were more satisfied with the decentralized control method. These findings provide implications for smart home design in terms of control methods.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Strese, H., Seidel, U., Knape, T., et al.: Smart home in deutschland: Untersuchung im rahmen der wissenschaftlichen begleitung zum programm next generation media (ngm) des bundesministeriums für wirtschaft und technologie. Institut für Innovation und Technik (iit), Berlin (2010)

    Google Scholar 

  2. Kim, K.J.: Interacting socially with the Internet of Things (IoT): effects of source attribution and specialization in human-IoT interaction. J. Comput.-Mediated Commun. 21(6), 420–435 (2016). https://doi.org/10.1111/jcc4.12177

  3. Sundar, S.S.: The MAIN Model: A Heuristic Approach to Understanding Technology Effects on Credibility. MacArthur Foundation Digital Media and Learning Initiative, Cambridge (2008)

    Google Scholar 

  4. Lee, B., Kwon, O., Lee, I., et al.: Companionship with smart home devices: the impact of social connectedness and interaction types on perceived social support and companionship in smart homes. Comput. Hum. Behav. 75, 922–934 (2017)

    Article  Google Scholar 

  5. Ischen, C., Araujo, T., van Noort, G., et al.: “I Am Here to Assist You Today”: the role of entity, interactivity and experiential perceptions in Chatbot persuasion. J. Broadcast. Electron. Media 64(4), 615–639 (2020)

    Article  Google Scholar 

  6. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Article  Google Scholar 

  7. Coskun, A., Kaner, G., Bostan, İ: 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), 7–20 (2018)

    Google Scholar 

  8. Yu, N., Ouyang, Z., Wang, H., et al.: The effects of smart home interface touch button design features on performance among young and senior users. Int. J. Environ. Res. Public Health 19(4), 2391 (2022)

    Article  Google Scholar 

  9. Pliatsikas, P., Economides, A.A.: Factors influencing intention of Greek consumers to use smart home technology. Appl. Syst. Innov. 5(1), 26 (2022)

    Article  Google Scholar 

  10. 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)

    Article  Google Scholar 

  11. Robles, R.J., Kim, T.: Applications, systems and methods in smart home technology: A. Int. J. Adv. Sci. Technol. 15, 37–48 (2010)

    Google Scholar 

  12. Piyare, R., Lee, S.R.: Smart home-control and monitoring system using smart phone. ICCA, ASTL 24, 83–86 (2013)

    Google Scholar 

  13. Anthi, E., Williams, L., Słowińska, M., et al.: A supervised intrusion detection system for smart home IoT devices. IEEE Internet Things J. 6(5), 9042–9053 (2019)

    Article  Google Scholar 

  14. Nicholls, L., Strengers, Y., Sadowski, J.: Social impacts and control in the smart home. Nat. Energy 5(3), 180–182 (2020)

    Article  Google Scholar 

  15. Liu, Y., Xiao, L., Yao, G., et al.: Pricing-based demand response for a smart home with various types of household appliances considering customer satisfaction. IEEE Access 7, 86463–86472 (2019)

    Article  Google Scholar 

  16. Gu, W., Bao, P., Hao, W., et al.: Empirical examination of intention to continue to use smart home services. Sustainability 11(19), 5213 (2019)

    Article  Google Scholar 

  17. Rook, K.S.: Social support versus companionship: effects on life stress, loneliness, and evaluations by others. J. Pers. Soc. Psychol. 52(6), 1132 (1987)

    Article  Google Scholar 

  18. Mendelson, M.J., Aboud, F.E.: Measuring friendship quality in late adolescents and young adults: McGill friendship questionnaires. Can. J. Behav. Sci. 31(2), 130 (1999)

    Article  Google Scholar 

  19. Lew, Z., Walther, J.B., Pang, A., et al.: Interactivity in online chat: conversational contingency and response latency in computer-mediated communication. J. Comput.-Mediat. Commun. 23(4), 201–221 (2018)

    Article  Google Scholar 

  20. Fishbein, M., Ajzen, I.: Belief, attitude, intention, and behavior: an introduction to theory and research. Philos. Rhetoric 10(2) (1977)

    Google Scholar 

  21. Oliver, R.L.: A cognitive model of the antecedents and consequences of satisfaction decisions. J. Mark. Res. 17(4), 460–469 (1980)

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by a grant from National Natural Science Foundation of China (Project No. 71901033).

Author information

Authors and Affiliations

  1. School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China

    Yan Shi & Na Liu

Authors
  1. Yan Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Na Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Na Liu .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Tsinghua University, Beijing, China

    Pei-Luen Patrick Rau

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Shi, Y., Liu, N. (2023). Investigating Control Method of User Interaction with Multi-device in Smart Home. In: Rau, PL.P. (eds) Cross-Cultural Design. HCII 2023. Lecture Notes in Computer Science, vol 14023. Springer, Cham. https://doi.org/10.1007/978-3-031-35939-2_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-35939-2_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35938-5

  • Online ISBN: 978-3-031-35939-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation