Brain-Computer Interface for Cyberpsychology: Components, Methods, and Applications

Brain-Computer Interface for Cyberpsychology: Components, Methods, and Applications

Junshi Lu, Yujia Peng
Copyright: © 2014 |Pages: 14
DOI: 10.4018/ijcbpl.2014010101
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Abstract

As a new way of implementing human-computer interface, brain-computer interfaces (BCI) dramatically change the user experiences and have broad applications in cyber behavior research. This methodological review attempts to provide an overall picture of the BCI science and its role in cyberpsychology. After an introduction of BCI and the literature search methods used in this review, we offer an overview of terms, history, components, methods and signals used in BCI. Different applications of BCI on both the clinical population and the healthy population are summarized in detail, with a conclusion of the future directions of BCI.
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2. Method

2.1. Literature Search Strategies

To provide an overall picture of the application of Brain-Computer Interfaces (BCI) in the field of cyber behavior and learning, existing literatures were searched extensively from multiple bibliographic databases, namely Google Scholar, PubMed, Web of Knowledge, and ScienceDirect. Because BCI is also known as Brain-Machine Interface or Mind-Machine Interface, all of these aliases were covered in the keyword list. Moreover, we included names of some consumer BCI devices, e.g. NeruoSky and Emotiv, to explicitly search for ever-expanding applications using these low-cost systems. Cyber behavior involves research on how the use of new technologies affects human behavior, and in particular, the emerging computer-based activities such as e-learning, online social communication, and online games. In order to explore the applications of BCIs to various subfields of cyber behavior, we searched the databases by combining BCI with other related keywords, including e-learning, online gaming, online communication, etc.

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