Neuroergonomics Deep Dive Literature Review, Volume 1: Neuroergonomics and Cognitive State

Christensen, James R.; Doczy, Erica J.; Durbin, Megan; Finomore, Victor; Funke, Margaret; McKinley, Richard; Satterfield, Kelly; Schmidt, Regina; Sidrow, Kathryn; Traver, Kyle

doi:10.21236/ada536065

Cited by 2 publications

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“…As noted in a recent literature review [18][19], the application of neuroergonomics, the "the study of brain and behavior at work" [20], is highly applicable to many areas of United States Air Force (USAF) operations. While [18]- [19] focused their efforts on USAF operations (as this was their directive), there is certainly a wide-ranging domain to which these methods could (and should) be applied, as evidenced in the literature review contained within. Regardless of the domain of application, the major topic areas contained within the review for which cognitive state assessment has potential benefit are reviewed.…”

Section: Application Areas For Human-machine Systemsmentioning

confidence: 99%

Physiological cognitive state assessment: Applications for designing effective human-machine systems

Estepp

Christensen

2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Significant growth in the field of neuroscience has occurred over the last decade such that new application areas for basic research techniques are opening up to practitioners in many other areas. Of particular interest to many is the principle of neuroergonomics, by which the traditional work in neuroscience and its related topics can be applied to non-traditional areas such as human-machine system design. While work in neuroergonomics certainly predates the use of the term in the literature (previously identified by others as applied neuroscience, operational neuroscience, etc.), there is great promise in the larger framework that is represented by the general context of the terminology. Here, we focus on the very specific concept that principles in brain-computer interfaces, neural prosthetics and the larger realm of machine learning using physiological inputs can be applied directly to the design and implementation of augmented human-machine systems. Indeed, work in this area has been ongoing for more than 25 years with very little cross-talk and collaboration between clinical and applied researchers. We propose that, given increased interest in augmented human-machine systems based on cognitive state, further progress will require research in the same vein as that being done in the aforementioned communities, and that all researchers with a vested interest in physiologically-based machine learning techniques can benefit from increased collaboration. We thereby seek to describe the current state of cognitive state assessment in human-machine systems, the problems and challenges faced, and the tightly-coupled relationship with other research areas. This supports the larger work of the Cognitive State Assessment 2011 Competition by setting the stage for the purpose of the session by showing the need to increase research in the machine learning techniques used by practitioners of augmented human-machine system design.

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Section: Application Areas For Human-machine Systemsmentioning

confidence: 99%

Physiological cognitive state assessment: Applications for designing effective human-machine systems

Estepp

Christensen

2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Hyperwriting, a multiscale writing with the method of loci

Aberkane¹

2016

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Let us suppose that any media is the outsourcing of a mental function ; writing, then, is the outsourcing of working memory. For Dehaene and others, writing is a neural recycling by which populations specialized in form recognition are associated with sounds, thus forming a simple grapheme-phoneme association. Could there be other forms of writing then, or “neowriting”, and could they externalize other mental functions, such as say, episodic memory ? Here I propose a multiscale form of symbolic writing based on the method of loci, consisting of a loceme-noeme association endowed with a proto-grammar, which purpose is to externalize episodic memory, and allow for the mapping of noems onto space. I add that hyperwriting is not the only possible form of neowriting, thus posing the problem of the neuroergonomic optimality of existing media depending on their contents and cognitive purpose, and discuss its epistemological continuity with hypertext.

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Neuroergonomics Deep Dive Literature Review, Volume 1: Neuroergonomics and Cognitive State

Cited by 2 publications

References 0 publications

Physiological cognitive state assessment: Applications for designing effective human-machine systems

Physiological cognitive state assessment: Applications for designing effective human-machine systems

Hyperwriting, a multiscale writing with the method of loci

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