Consumer Grade Brain-Computer Interfaces: An Entry Path into NeuroIS Domains

Nash (Nebojsa) Milic ()
Additional contact information
Nash (Nebojsa) Milic: Baylor University

A chapter in Information Systems and Neuroscience, 2017, pp 185-193 from Springer

Abstract: Abstract This research provides a high-level and non-technical insight into the current state of NeuroIS field and a concise overview of consumer grade Brain-Computer interfaces (BCI). Special attention is given to the electroencephalography (EEG) based BCIs. Additionally, a two-dimensional overview with five clusters (Surgical, Clinical, Lab, Office and Plug & play cluster) is proposed as a mean to position NeuroIS tools based on the resource requirements and ease of use. Finally, this research employs a consumer grade BCI (Neurosky Mindwave) in a pilot study and argues for future research on consumer grade BCIs for topics related to information overload.

Keywords: BCI; EEG; Brain-computer interfaces; Consumerization; Consumer grade; Plug & play; Information overload (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-41402-7_23

Ordering information: This item can be ordered from
http://www.springer.com/9783319414027

DOI: 10.1007/978-3-319-41402-7_23

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().