IoT-Enabled Indoor Navigation: Data-Driven Insights for Seamless User Experience from the Indoor Navigation Test

Abstract

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.

Keywords

• iot
• sensor data
• user experience
• data-driven insights
• indoor navigation