Enhancing Long-Term User Engagement in Smart Home Energy Systems : an user-centered approach to personalized feedback and privacy
Farhad, Hossain MD (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025052817172
https://urn.fi/URN:NBN:fi:amk-2025052817172
Tiivistelmä
Smart home energy systems are becoming more common as tools to help people manage energy more efficiently. But keeping users engaged over time still seems to be a challenge. This study explores the gap between early use and longer-term interaction, focusing on how personalization and privacy features might influence behavior. The goal is to understand which design choices can encourage ongoing use and build trust in energy feedback tools.
The research was guided by several theories, including Self-Determination Theory, the Privacy Calculus Model, the Technology Acceptance Model, and principles of User-Centered Design. A mixed-methods approach was used, combining an open-ended survey with over 100 responses and usage data from a Firebase-based prototype tested by ten users. The data were analyzed through thematic coding and user behavior patterns.
Findings showed that while users appreciated personalized feedback, many didn’t take the time to adjust privacy settings, even though they said privacy mattered. This highlights a gap between intention and behavior. Trust was reinforced by transparency, timely feedback, and clear interfaces. The study suggests that adaptive, inclusive, and ethically designed systems may be more successful in supporting long-term engagement.
The research was guided by several theories, including Self-Determination Theory, the Privacy Calculus Model, the Technology Acceptance Model, and principles of User-Centered Design. A mixed-methods approach was used, combining an open-ended survey with over 100 responses and usage data from a Firebase-based prototype tested by ten users. The data were analyzed through thematic coding and user behavior patterns.
Findings showed that while users appreciated personalized feedback, many didn’t take the time to adjust privacy settings, even though they said privacy mattered. This highlights a gap between intention and behavior. Trust was reinforced by transparency, timely feedback, and clear interfaces. The study suggests that adaptive, inclusive, and ethically designed systems may be more successful in supporting long-term engagement.