| Issue |
BIO Web Conf.
Volume 86, 2024
International Conference on Recent Trends in Biomedical Sciences (RTBS-2023)
|
|
|---|---|---|
| Article Number | 01108 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/bioconf/20248601108 | |
| Published online | 12 January 2024 | |
IoT-Enabled Indoor Navigation: Data-Driven Insights for Seamless User Experience from the Indoor Navigation Test
1 Department of Management and Innovation, National Research Moscow State University of Civil Engineering (NRU MGSU), 26 Yaroslavskoye Highway, Moscow, Russia
2 Uttaranchal University, Dehradun 248007, India
3 Lovely Professional University Phagwara, Punjab, India
4 K R Mangalam University, Gurgaon, India
5 GD Goenka University, Sohna, Haryana, India
* Corresponding Email- leram86@mail.ru
In order to improve the user experience in intricate interior settings, this research uses data-driven insights to investigate the dynamics of Internet of Things-enabled indoor navigation systems. A link between prior navigation experience and contentment was found via analysis of user profiles; users who reported having a high degree of prior experience also showed a 25% increase in happiness. An review of sensor data revealed that environmental conditions are critical in determining user happiness, with users reporting 12% greater levels of satisfaction in locations with higher temperatures (24.0°C). Furthermore, customer preferences for customized routes were revealed by navigation data analysis, highlighting the need of configurable navigation systems. Lastly, an examination of user input revealed that resolving issues raised satisfaction levels by 18%. The aforementioned results highlight the complex aspects of indoor navigation and highlight the significance of factors such as user profiles, ambient comfort, route customisation, and responsive feedback systems in enhancing the overall experience.
Key words: IoT / sensor data / user experience / data-driven insights / indoor navigation
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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