The ageing of the population means a considerable problem in the European Union. According to a Eurostat estimate, 28.7% of the total population of the EU28 will be over 65 years old by 2080. As mental decline takes a significant part of elderly health issues, it gets growing attention.
Today, medicine keep seeking for IT solutions on several occasions as it also does in this field. The Maintaining and Measuring Mental Wellness (M3W) is a project aiming to detect mental decline in early stage and predicting dementia with enjoyable computer games.
In my thesis, I review the M3W project and its outcome. I present the frameworks that have been developed during the project. These provide services such as authentication, logging and control.
I choose and implement Checkers and Nine Men’s Morris based on my declared standpoints (popularity, gameplay, simplicity and measuring potential). These games serve well as part of the Mental Wellness Toolset (MWT) that includes games for mental training and as part of the Community Building Toolset (CBT) that collects services to empower community building. I present the rules of the games, the program structures, graphical interfaces and parts from the source codes. I develop and present a computer player with artificial intelligence for Nine Men’s Morris to help efficacious monitoring.
As these games being party games, they have to have a protocol for communication. I describe and compare the methods used for communications and I mention some alternatives. In conclusion, I propose possibilities for advancements.
I developed both games based on the framework services. The multiplayer mode is working correctly in both cases. The gameplay is enjoyable with other players and with the computer player as well.