Towards a Direct Mental Based Decision Making: Electroencephalography (EEG) Case Study

Nowadays, there are several ways to interact with computers, applications, or even games. These ways vary between using a direct input via typical input mediums, automatic smart sensors, or even human postures. When dealing with people who suffer from disability, the aforementioned ways are not always applicable. In this paper, we introduce a new interaction style that helps disabled people. We focus on using a mental based decision making system. Precisely, we focus on issuing decisions directly from the electrical signals in a human brain. The goal is to transfer the interaction medium into the mental level. For the sake of clarity, we discuss a case study where we use a headset sensors to send direct Electroencephalography (EEG) signals as commands into the Tetris game. This case study is a simulation level suggested as a proof of concept. In the Tetris game the commands are discrete and limited. By preparing the Tetris game and using the Emotiv Epoc with a headset as the controlling tool. This paper provides a mechanism that grants ability for people to control and easily play computer games. This work designed with kind support from the King Abdullah II Design and Development Bureau (KADDB).