Human-Computer Interaction behind the EEG Signals of ADHD People: A Systematic Literature Review

The analysis of the electroencephalogram (EEG) signals within the Human-Computer Interaction (HCI) field is a helpful method when it comes to reducing the bias that usually arises while obtaining data for evaluating information interactive systems. The needs of a group of people with specific characteristics can be unveiled by the interpretation and comparison of their interaction responses, as well as in a more objective way, throughout their EEG signals. Particularly, this strategy is not a common practice during the execution of research for the development of new technologies directed at Attention-Deficit/Hyperactivity Disorder (ADHD) people. The present work is a systematic literature review (SLR) about how EEG signals have been implemented to identify or differentiate people with ADHD within the fields of computer science and engineering. Hence it aims to provide a wide scope related to the advancements in the area of HCI intended for the above-mentioned population. Together with classifying the associated recent contributions to identify different opportunity areas that remain unexplored. This review was executed by following the methodology proposed by Kitchenham, through which 20 articles were selected as final primary studies. The performed analysis allowed the identification of relevant applications, along with potential research areas.