Low-Cost Assessment of User eXperience Through EEG Signals

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. The results show differences due to the absence/presence of sound; players appear to be more relaxed without sound. In addition, consistent analysis of the EEG data, meCue 2.0 and SAM data showed high consistency. The evidence demonstrates that interesting results are able to be gathered based on low-cost EEG (standard) signal-based technologies.

Sensors and Artificial Intelligence Methods and Algorithms for Human–Computer Intelligent Interaction: A Systematic Mapping Study

“…This study contributes to the body of research in the multi-disciplinary field of intelligent methods development in HCI and HCII, CS, and AI fields. Our work presents a systematic mapping study of 454 papers, retrieved from several digital libraries and application of the inclusion and exclusion criteria, in order to fulfill the objectives of the study: (1) what have been the trends and demographics of the literature within the field of HCII, (2) what has been the research space of the literature within the field of HCII, and (3) what sensors technology and intelligent methods have been used in the development and evaluation of solutions for HCII.…”

“…), or sensor-based technologies (e.g., acceleration, pressure, brain signal, etc.) [ 1 ]. HCII systems also support multimodal or multimedia output involving two or more types of information received as feedback by a user during HCI.…”

“…Multimedia output can provide different media types within one modality, such as vision (e.g., still images, virtual reality, video images, etc.) or multimodal output, such as visual, auditory, and tactile feedback to the user [ 1 ].…”

“…Human–computer interaction (HCI) is a research area related to people’s design and use of technology and computers [ 1 ]. With the rapid development of modern information and communication technologies the role and purpose of computers has significantly changed.…”

Review of Studies on User Research Based on EEG and Eye Tracking

“…In Krigolson's [3] research, computer and portable EEG systems can easily conduct ERP research. Cano et al [4] studied human-computer interaction in gaming activities based on low-cost EEG signal technology, greatly expanding the possible use of ERP methods in various new environments. Furthermore, the cost of electroencephalography is much lower than other brain imaging techniques, and is one of the most readable and promising neuroscience tools in user research [5].…”