Received July 24, 2020, accepted August 8, 2020, date of publication August 18, 2020, date of current version September 11, 2020. Digital Object Identifier 10.1109/ACCESS.2020.3017685 Low-Cost Assessment of User eXperience Through EEG Signals SANDRA CANO 1, (Member, IEEE), NELSON ARAUJO2, CRISTIAN GUZMAN2, CRISTIAN RUSU 1, AND SERGIO ALBIOL-PÉREZ 3 1Escuela de Ingenieria Informática, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile 2Facultad de Ingeniería, Universidad de San Buenaventura de Cali, Cali 760032, Colombia 3Aragón Health Research Institute (IIS Aragón), Universidad de Zaragoza (Teruel), 44003 Teruel, Spain Corresponding author: Sandra Cano (
[email protected]) This work was supported in part by the Gobierno de Aragón, Departamento de Industria e Innovación, and in part by the Fondo Social Europeo Construyendo Europa desde Aragón and by grants from the Instituto de Salud Carlos III, Spanish Government and European Regional Development Fund, A way to build Europe under Grant FIS. PI17/00465. ABSTRACT EEG signals are an important tool for monitoring the brain activity of a person, but equipment, expertise and infrastructure are required. EEG technologies are generally expensive, thus few people are normally able to use them. However, some low-cost technologies are now available. One of these is OPENBCI, but it seems that it is yet to be widely employed in Human-Computer Interaction. In this study, we used OPENBCI technology to capture EEG signals linked to brain activity in ten subjects as they interacted with two video games: Candy Crush and Geometry Dash. The experiment aimed to capture the signals while the players interacted with the video games in several situations.