Applying Box-Behnken design to research voice control automatic lighting systems

Oleksandr Burban; Mykola Polishchuk; Anatolii Tkachuk; Serhii Kostiuchko; Liliia Polishchuk; Valentyna Tkachuk

doi:10.35784/iapgos.8231

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Published: Jun 30, 2026

DOI: https://doi.org/10.35784/iapgos.8231

Issue Vol. 16 No. 2 (2026)

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Applying Box-Behnken design to research voice control automatic lighting systems
Oleksandr Burban, Mykola Polishchuk, Anatolii Tkachuk, Serhii Kostiuchko, Liliia Polishchuk, Valentyna Tkachuk

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Authors

Oleksandr Burban

sashaboorban@gmail.com

Volyn Professional College of the National University of Food Technologies, Ukraine

https://orcid.org/0000-0001-6562-3936

Mykola Polishchuk

polishchuk.kolia@gmail.com

Lutsk National Technical University, Ukraine

https://orcid.org/0000-0002-1218-5925

Anatolii Tkachuk

a.tkachuk@lntu.edu.ua

Lutsk National Technical University, Ukraine

https://orcid.org/0000-0001-9085-7777

Serhii Kostiuchko

s.kostiuchko@gmail.com

Lutsk National Technical University, Ukraine

https://orcid.org/0000-0002-1262-6268

Liliia Polishchuk

lilia.polishchukk@gmail.com

Lutsk National Technical University, Ukraine

https://orcid.org/0000-0001-9282-1639

Valentyna Tkachuk

vv.tkachuk@lntu.edu.ua

Lutsk National Technical University, Ukraine

https://orcid.org/0000-0003-3296-3111

Abstract

The paper presents the results of an experimental study of a voice control system for smart home elements, implemented on the basis of the WeMos D1 mini microcontroller module using the Google Assistant voice assistant and a mobile application created in the MIT App Inventor environment. The purpose of the study was to determine the influence of the distance to the microphone, the sensitivity of the microphone, and the type of the user's voice on the efficiency of voice command recognition. The experimental planning was performed using the Box-Behnken method, which allowed obtaining statistically significant results with a minimum number of experiments. Analysis of the obtained data showed that the distance to the microphone and its sensitivity have the greatest impact on the accuracy of command recognition, while the type of voice is of secondary importance. The mathematical model built based on the obtained data was recognized as adequate according to the Cochrane, Student, and Fisher criteria. The obtained results can be used to configure and optimize similar IoT systems, as well as for further research in real acoustic environments.

Keywords:

smart home, WeMos D1 mini, Box-Behnken method, speech recognition, IoT

Sustainable Development Goals (SDG)

9 - Industry, Innovation, Technology and Infrastructure

References

[1] Ahmed, I. S., Kamardin, K., Yamada, Y., Noureen, T. R., Idris, I. H., Kaidi, H. M., Aini Bani, N., & Sam, S. M. (2019). IoT Enabled Wireless Health Monitoring System Using Textile Antenna. 2019 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE), 1–6. https://doi.org/10.1109/APACE47377.2019.9021103

[2] Bakhovskyy, P., Tkachuk, A., Yevsiuk, M., Zabolotnyi, O., Moroz, O., & Satsyk, O. (2023). Development and Interaction of the VTF Concept with IoT Platforms on the Example of the 5G Standard. 2023 13th International Conference on Dependable Systems, Services and Technologies (DESSERT), 1–6. https://doi.org/10.1109/DESSERT61349.2023.10416439

[3] DevilWAH. (2025). What is the ESP8266 Wemos D1 mini Max voltage in? [Online post]. Arduino Forum. https://forum.arduino.cc/t/what-is-the-esp8266-wemos-d1-mini-max-voltage-in/640646

[4] Kim, S., Cho, J., Shin, J., Kim, B., & Jung, J. (2026). Automatic generation of spiking neural networks on neuromorphic computing hardware for IoT edge computing. Future Generation Computer Systems, 174, 107953. https://doi.org/10.1016/j.future.2025.107953

[5] Lahiri, D., Kandimalla, P. C. P., & Jeysekar, A. (2023). Hybrid Multi Purpose Voice Assistant. 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 816–822. https://doi.org/10.1109/ICAAIC56838.2023.10140365

[6] Lin, J.-Y., Tsai, H.-L., & Lu, G.-H. (2022). Development of Wireless AC Power-Monitoring Module. 2022 8th International Conference on Applied System Innovation (ICASI), 1–4. https://doi.org/10.1109/ICASI55125.2022.9774467

[7] Meng, Y., Li, J., Zhu, H., Tian, Y., & Chen, J. (2024). Privacy-Preserving Liveness Detection for Securing Smart Voice Interfaces. IEEE Transactions on Dependable and Secure Computing, 21(4), 2900–2916. https://doi.org/10.1109/TDSC.2023.3319833

[8] MIT App Inventor. (2025). MIT App Inventor. https://appinventor.mit.edu/

[9] Munasinghe, T., Patton, E. W., & Seneviratne, O. (2019). IoT Application Development Using MIT App Inventor to Collect and Analyze Sensor Data. 2019 IEEE International Conference on Big Data (Big Data), 6157–6159. https://doi.org/10.1109/BigData47090.2019.9006203

[10] Nguyen, N.-K., J. Borkowski, J., & Phuong Vuong, M. (2023). Perspective Chapter: Cyclic Generation of Box-Behnken Designs and New Second-Order Designs. In P. Kayarogannam (Ed.), Response Surface Methodology—Research Advances and Applications. IntechOpen. https://doi.org/10.5772/intechopen.107178

[11] Norda, M., Engel, C., Rennies, J., Appell, J.-E., Lange, S. C., & Hahn, A. (2024). Evaluating the Efficiency of Voice Control as Human Machine Interface in Production. IEEE Transactions on Automation Science and Engineering, 21(3), 4817–4828. https://doi.org/10.1109/TASE.2023.3302951

[12] OpenImpulse. (2025). Wemos D1 Mini ESP8266 development board. https://www.openimpulse.com/blog/products-page/product-category/wemos-d1-mini-esp8266-development-board/

[13] Sarada, W., Prashanth, K. V., Mary, A. B., Premkumar, K., Vijayan, V. P., & G, R. (2025). IoT in Smart Homes: Enhancing Lifestyle Through Intelligent Automation and Control. 2025 International Conference on Automation and Computation (AUTOCOM), 336–341. https://doi.org/10.1109/AUTOCOM64127.2025.10957107

[14] Sarumathi, S., Purushothaman, H., Navitha, S., & Radhidevi, K. (2025). NaviNest-A Virtual Assistant. 2025 International Conference on Innovative Trends in Information Technology (ICITIIT), 1–7. https://doi.org/10.1109/ICITIIT64777.2025.11041415

[15] Satsyk, V., Cagáňová, D., Reshetylo, O., Zabolotnyi, O., & Tkachuk, A. (2023). Increasing the Speed and Performance of the Drupal CMS Server for Industrial IoT Technologies. In M. Balog, A. Iakovets, & S. Hrehova (Eds), EAI International Conference on Automation and Control in Theory and Practice (pp. 81–92). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-31967-9_6

[16] Sharma, V., Kolivand, H., Asadianfam, S., Al-Jumeily, D., & Jayabalan, M. (2023). Gesture Recognition Techniques. 2023 15th International Conference on Developments in eSystems Engineering (DeSE), 244–249. https://doi.org/10.1109/DeSE58274.2023.10099640

[17] Sose, A. M. R. R., Pahlevi, R. R., & Nuha, H. H. (2023). Design of COIN Wifi Based on Microcontroller Embedded System NodeMCU. 2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 129–133. https://doi.org/10.1109/EECSI59885.2023.10295904

[18] V, A., V, S., & KV, V. (2025). Voice controlled Navigation With integrated Computer Vision and IoT. 2025 6th International Conference on Control, Communication and Computing (ICCC), 1–6. https://doi.org/10.1109/ICCC64910.2025.11077234

[19] Vichare, S., Mehta, V., Tripathi, R., Mangrulkar, R., & Kumhar, S. (2022). Intelligent Application of Voice Recognition and Personal Secretariat for Effective Business Management. 2022 Sardar Patel International Conference on Industry 4.0 - Nascent Technologies and Sustainability for ‘Make in India’ Initiative, 1–6. https://doi.org/10.1109/SPICON56577.2022.10180496

[20] Wei, C.-C., Chen, C.-W., & Hung, L.-C. (2022). Establish a smart healthcare system with AIoT for Chinese Medicine. 2022 10th International Conference on Orange Technology (ICOT), 1–5. https://doi.org/10.1109/ICOT56925.2022.10008112

Burban, O., Polishchuk, M., Tkachuk, A., Kostiuchko, S., Polishchuk, L., & Tkachuk, V. (2026). Applying Box-Behnken design to research voice control automatic lighting systems. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 16(2), 44–49. https://doi.org/10.35784/iapgos.8231

Applying Box-Behnken design to research voice control automatic lighting systems

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