Vital signs monitoring is common practice in the medical field. However, hydration,
which is also an essential vital sign, is often overlooked despite its importance and
impact on the human body. Another problem that is essential to tackle is the ease of
access to interpreted data for both patient and clinician.

This thesis aims to tackle both challenges by presenting two cross-platform mobile
applications. The first application enables the real-time monitoring of fluid intake with
the help of a premade weight-based smart coaster. It also features an AI companion
which is expected to motivate and assist both patients and clinicians. The second
application extends the focus of the first by incorporating raw vital signs data from our
partner’s medical hardware into an easy-to-use user-centered application that provides
visualizations of these vital signs data. Both applications were developed using the
Flutter framework according to MVVM architecture and are fully compatible across
multiple platforms such as Android, iOS, and MacOS.

After the creation of both apps, a study involving 18 participants coming from
therapy or nursing backgrounds was conducted within two test sessions. Participants
were asked to follow along a sequence of tasks involving the two applications and
feedback from the participants were then gathered and used for evaluation.

Overall results show a positive trend; testers noted that the two applications could
potentially be useful for their line of work, though some feedback also highlighted the
importance of adhering to strict clinical standards. While further improvements are still
needed in order to create clinically-safe applications, this study is able to demonstrate
how IoT-based clinical monitoring of data can be helpful towards improving overall
clinician and patient workflow in the future.

This paper evaluates the method and development of a tool designed to aid level
designers in recognizing and correcting deviations from the intended player experience.
These deviations occur due to the complex nature of level design and the method of
planning player experience, which typically only includes the most intense points of
the level’s pacing. This can lead to unintended periods where the player is between
two of these points for longer than initially planned.
To highlight these areas, this paper proposes a method of mapping player experience
to gamespaces and provides a tool designed for that purpose. In addition, the tool
enables higher-level evaluations through clustering. The paper analyzes the tool’s
ability to map the provided information and its higher-level evaluation features. It
proves the accuracy of the mapping process but raises questions about the validity of
the higher-level evaluation methods. Further research of its use cases in real life are
recommended.

Accessibility in Video Games is a challenging yet crucial aspect for Developers to get right. While it is generally believed that it is an aspect that should be considered during development, it is not the highest priority. Therefore, it is essential to improve accessibility in games by making it easier for developers to include accessibility features.
This thesis will investigate methods for building a framework designed to aid in game development. For this, both scientific and non-scientific works will be analyzed to identify key features that such a framework requires. Additionally, it will discuss the possible structure of such a framework, with the focus on making it modular, expandable, and easy to use.
Furthermore, a prototype of such a framework will be created, which attempts to provide a helpful starting point when making games that include accessibility features. This system is intended to be useful for developers by reducing the complexity of implementing such features. The framework will be designed for the Unity Engine and will focus primarily on 3D first-person games.
The goal of this thesis is to enhance accessibility in video games by making it more approachable for developers.