A short review and primer on electroencephalography in human computer interaction applications
Lauri Ahonen, Benjamin Cowley

TL;DR
This paper provides a beginner-friendly overview of EEG methods and their application in human-computer interaction, emphasizing practical considerations and recent developments for non-clinical uses.
Contribution
It offers a concise primer on EEG signal analysis and application specifically tailored for HCI, distinguishing it from clinical and sports contexts.
Findings
EEG is a cost-effective, ambulatory method for CNS research.
EEG signals are prone to noise but widely used in BCI studies.
The paper emphasizes practical application in everyday HCI scenarios.
Abstract
The application of psychophysiology in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging field requires comprehension of an array of physiological signals and analysis techniques. Methods to study central nervous system (CNS) are usually expensive and laborious. However, electroencephalography (EEG) is one of the most affordable and ambulatory methodologies for CNS research. It is in use in various clinical studies and have been broadly studied over decades. Despite that the recorded EEG signals are quite prone to noise and environmental factors it is the most widely used method in study of brain-computer interaction (BCI). Here we discuss briefly on various aspects of the recorded signals, their interpretation, and usage in the field of interaction studies. This paper aims to serve as a primer…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEEG and Brain-Computer Interfaces · Functional Brain Connectivity Studies · Neural and Behavioral Psychology Studies
