Masterarbeit
Comparing Graphical and Chatbot User Interfaces of Patient Self-Management Apps in Healthcare
Completion
2024/03
Research Area
Students
Shahayar Saleem
Advisers
Description
The healthcare sector has a high organizational effort, where both patients and clinic personal have to spend a lot of time for managing appointments and information sharing, for example for test results. For patients this is also often linked with long waiting lines and time spent in waiting rooms together with other sick people, which could be avoided with a more emancipated approach. To provide patients with these possibilities, healthcare mobile apps are used more often in the last few years. This includes for one apps that help with mental health, apps from healthcare insurances, but also self-management apps, with which patients can plan and book their doctor appointments remotely on their own, and get more information. Aside from this, there are healthcare apps with AI chatbots, which are often used for therapeutic advice and mental health.
This thesis wants to combine and compare these two approaches and research on the comparison between prototypical patient self-management apps with a graphical and a chatbot interface and is based on ideas and implementations which were previously developed in the Planspiel module. The solution aims to find out which types of User Interfaces are best at handling different tasks like appointment booking, vaccination planning, doctor comparison and accessing test results in a self-management app to find out the most effective and supporting interface options for these tasks.
The objective of this thesis is the development and comparison of prototypical interfaces (conversational chatbot and graphical UI) to solve the problem of effective user interactions in self-management apps as described above. This includes the analysis of the state of the art of mobile apps for patient self-management in the healthcare sector with Graphical and Chatbots User Interfaces, their functionalities, and other relevant literature as well as the demonstration of the comparison results by testing both User Interfaces in prototypical implementations with a suitable evaluation, especially on their usability and its compliance with requirements which were extracted through the literature research.
