Preview

Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering

Advanced search

Model of an information system for data support of smart home assistants

https://doi.org/10.21869/2223-1536-2024-14-4-47-59

Abstract

Purpose of research. Digital goods are often innovations compared to their physical counterparts. One of the key technologies that have improved voice interaction with devices is smart home assistants, which have become an important element of digitalization of daily life. The use of the concept of providing such assistants with data in the management of an organization ensures the necessary amount of information storage. The purpose of the research is to develop an information system model to support smart assistants in management, corresponding to the concept of indirect management.

Methods. Methods of system analysis, system engineering and modeling were use Methods. System analysis and modeling methods were used to solve the tasks.

Results. The features of the implementation of providing smart assistants with data when managing an organization based on the provisions of the concept of indirect management are given. The mathematical support of the user query recognition algorithm is presented. The features of the implementation of a data management system for managing an organization based on the concept of indirect management are described. An information system model has been developed that allows one administrator to quickly classify user requests in real time and provide timely and tactical information. In this case, all sets of user requests will be operationally classified and marked in real time.

Conclusion. A model of an information system has been created to support smart home assistants. To administer such a system, one administrator is enough to quickly classify user requests in real time. Practical recommendations on the organization of effective interaction of end users with smart home assistants and similar modern intelligent technologies are presented.

About the Authors

A. V. Kalach
Voronezh State University of Engineering Technologies
Russian Federation

Andrey V. Kalach, Doctor of Sciences (Chemistry), Professor, Head of the Department of Information Technologies, Modeling and Control

19 Revolution Ave., Voronezh 394036



T. E. Smolentseva
MIREA – Russian Technological University
Russian Federation

Tatyana E. Smolenceva, Doctor of Sciences (Engineering), Associate Professor, Professor of the Department of Practical and Applied Informatics

78 Vernadsky Ave., Moscow 119454



Y. A. Akatyev
MIREA – Russian Technological University
Russian Federation

Yaroslav A. Akatev, Assistant of the Department of Practical and Applied Informatics

78 Vernadsky Ave., Moscow 119454



References

1. Valero C., Pérez J., Solera-Cotanilla S., Vega-Barbas M., Suarez-Tangil G., AlvarezCampana M., López G. Analysis of security and data control in smart personal assistants from the user’s perspective. Future Generation Computer Systems. 2023;144:12–23. https://doi.org/10.1016/j.future.2023.02.009

2. Canziani B., MacSween S. Consumer acceptance of voice-activated smart home devices for product information seeking and online ordering. Computers in Human Behavior. 2021;119:106714. https://doi.org/10.1016/j.chb.2021.106714

3. Pal D., Zhang X., Siyal S. Prohibitive factors to the acceptance of internet of things (IoT) technology in society: a smart-home context using a resistive modelling approach. Technology in Society. 2021;66:101683. https://doi.org/10.1016/j.techsoc.2021.101683

4. Kim S., Choudhury A. Exploring older adults’ perception and use of smart speakerbased voice assistants: A longitudinal study. Computers in Human Behavior. 2021;124:106914. https://doi.org/10.1016/j.chb.2021.106914

5. Benlian A., Klumpe J., Hinz O. Mitigating the intrusive effects of smart home assistants by using anthropomorphic design features: A multimethod investigation. Information Systems Journal. 2019;30(6):1010–1042.

6. Mamonov S., Koufaris M. Fulfillment of higher-order psychological needs through technology: The case of smart thermostats. International Journal of Information Management. 2020;52:02091. https://doi.org/10.1016/j.ijinfomgt.2020.102091

7. Turel O., Matt C., Trenz M., Cheung C.M.K. An intertwined perspective on technology and digitised individuals: Linkages, needs and outcomes. Information Systems Journal. 2020;30(6):929–939.

8. Mallat N., Tuunainen V., Wittkowski K. Voice Activated Personal Assistants – Consumer use contexts and usage behavior. Available at: https://aisel.aisnet.org/amcis2017/TREOs/Presentations/32/ (accessed 11.09.2024).

9. Smolentseva T.E., Akatiev Ya.A. The concept of using smart assistants in managing an organization using the example of the Institute of Information Technology of the Russian Technical University MIREA. In: Nadezhnost' i kachestvo: trudy mezhdunarodnogo simpoziuma = Reliability and quality: Proceedings of the International Symposium. Vol. 1. Penza: Penza State University; 2023. Р. 344–347. (In Russ.)

10. Sumin V.I., Smolentseva T.E., Akatiev Ya.A. Analysis of the possibilities of designing a relational database in the process of reduction to the sixth normal form. Vestnik Voronezhskogo instituta FSIN Rossii = Bulletin of the Voronezh Institute of the Federal Penitentiary Service of Russia. 2021;(1):109–114. (In Russ.)

11. Tomashevskaya V.S., Yakovlev D.A. Methods for processing unstructured data. Rossiiskii tekhnologicheskii zhurnal = Russian Technological Journal. 2021;9(1):7–17. (In Russ.) https://doi.org/10.32362/2500-316X-2021-9-1-7-17

12. Malodia S., Islam N., Kaur P., Dhir A. Why do people use artificial intelligence (AI)- enabled voice assistants? IEEE Transactions on Engineering Management. 2021:99. https://doi.org/0.1109/tem.2021.3117884

13. Marikyan D., Papagiannidis S., Alamanos E. “Smart home sweet smart home”: An examination of smart home acceptance. International Journal of E-Business Research. 2021;17(2):1–23.

14. Lau J., Zimmerman B., Schaub F. Alexa, are you listening? Proceedings of the ACM on Human-Computer Interaction. 2018;2:1–31.

15. Maier C., Thatcher J.B., Grover V., Dwivedi Y.K. Cross-sectional research: A critical perspective, use cases, and recommendations for IS research. International Journal of Information Management. 2023:102625. https://doi.org/10.1016/j.ijinfomgt.2023.102625

16. Fernandes T., Oliveira E. Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption. Journal of Business Research. 2021;122:180–191.

17. Hu Q., Lu Y., Pan Z., Gong Y., Yang Z. Can AI artifacts influence human cognition? The effects of artificial autonomy in intelligent personal assistants. International Journal of Information Management. 2021;56:102250. https://doi.org/10.1016/j.ijinfomgt.2020.102250

18. Raff S., Rose S., Huynh T. Perceived creepiness in response to smart home assistants: A multi-method study. International Journal of Information Management. 2024;74:102720. https://doi.org/10.1016/j.ijinfomgt.2023.102720

19. Abdi N., Ramokapane K.M., Such J.M. More than smart speakers: Security and privacy perceptions of smart home personal assistants. In: Fifteenth Symposium on Usable Privacy and Security. Santa Clara, CA: USENIX Association; 2019. P. 451–466.


Review

For citations:


Kalach A.V., Smolentseva T.E., Akatyev Y.A. Model of an information system for data support of smart home assistants. Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering. 2024;14(4):47-59. (In Russ.) https://doi.org/10.21869/2223-1536-2024-14-4-47-59

Views: 125


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2223-1536 (Print)