University of Twente Student Theses
Integration of User Schedules into Health-Monitoring Apps: Current Practice and Possible Implementations for Adaptive Electronic Partners
Farbtuhs, Valerijs (2024) Integration of User Schedules into Health-Monitoring Apps: Current Practice and Possible Implementations for Adaptive Electronic Partners.
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| Abstract: | In the modern world, health-monitoring applications are widely used by individuals seeking to track and enhance their physical well-being. The success of these applications largely depends on their capacity to adapt to user needs and preferences. This study investigates how extensively and in what ways current health-monitoring apps integrate user schedules into their user models. This research involved a detailed analysis of health-monitoring apps selected from the top free apps in the ’Health & Fitness’ categories of major app stores. The study reveals that most apps feature custom scheduling functionalities, allowing users to set specific times and days for receiving reminders. However, none of the apps integrates with external calendar services, highlighting a reliance on in-app scheduling mechanisms. The advantages and disadvantages of these current approaches are discussed. Findings indicate that while custom scheduling is straightforward and user-friendly, it lacks adaptability and integration with broader scheduling systems. Alternatives, such as integration with external services and using advanced machine learning models for personalised reminders, are also explored. This research concludes that while current health-monitoring apps effectively provide basic scheduling functionalities, there is significant potential for enhancement through integrating external scheduling platforms and more sophisticated user modelling techniques. Future work should consider including apps that utilise dedicated wearables and the development of prototypes to gather direct user feedback. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/101036 |
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