Modality specific assessment of video game player’s experience using the Emotiv

McMahan, Timothy; Parberry, Ian; Parsons, Thomas D.

doi:10.1016/j.entcom.2015.03.001

Cited by 90 publications

(38 citation statements)

References 57 publications

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“…High intensity events, such as the death of the VG character, were associated with increased beta and gamma power when compared with general gameplay (McMahan et al, 2015). …”

Section: Discussionmentioning

confidence: 99%

Neural Basis of Video Gaming: A Systematic Review

Palaus

Marrón

Viejo-Sobera

et al. 2017

Front. Hum. Neurosci.

202

151

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Background: Video gaming is an increasingly popular activity in contemporary society, especially among young people, and video games are increasing in popularity not only as a research tool but also as a field of study. Many studies have focused on the neural and behavioral effects of video games, providing a great deal of video game derived brain correlates in recent decades. There is a great amount of information, obtained through a myriad of methods, providing neural correlates of video games.Objectives: We aim to understand the relationship between the use of video games and their neural correlates, taking into account the whole variety of cognitive factors that they encompass.Methods: A systematic review was conducted using standardized search operators that included the presence of video games and neuro-imaging techniques or references to structural or functional brain changes. Separate categories were made for studies featuring Internet Gaming Disorder and studies focused on the violent content of video games.Results: A total of 116 articles were considered for the final selection. One hundred provided functional data and 22 measured structural brain changes. One-third of the studies covered video game addiction, and 14% focused on video game related violence.Conclusions: Despite the innate heterogeneity of the field of study, it has been possible to establish a series of links between the neural and cognitive aspects, particularly regarding attention, cognitive control, visuospatial skills, cognitive workload, and reward processing. However, many aspects could be improved. The lack of standardization in the different aspects of video game related research, such as the participants' characteristics, the features of each video game genre and the diverse study goals could contribute to discrepancies in many related studies.

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“…High intensity events, such as the death of the VG character, were associated with increased beta and gamma power when compared with general gameplay (McMahan et al, 2015). …”

Section: Discussionmentioning

confidence: 99%

Neural Basis of Video Gaming: A Systematic Review

Palaus

Marrón

Viejo-Sobera

et al. 2017

Front. Hum. Neurosci.

202

151

View full text Add to dashboard Cite

show abstract

“…We used a high-resolution sixteen sensor / fourteen channel EEG monitor configured to sample at 128 Hertz with a 16-bit resolution (EMOTIV Inc, San Francisco, USA) (Aspinall et al, 2013;Badcock et al, 2015;McMahan et al, 2015;Prause et al, 2016;Yu and Sim, 2016).…”

Section: Data Acquisitionmentioning

confidence: 99%

The power of language: functional brain network topology of deaf and hearing in relation to sign language experience

Sinke

Buitenhuis

Maas

et al. 2018

Preprint

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Prolonged auditory sensory deprivation leads to brain reorganization, indicated by functional enhancement in remaining sensory systems, a phenomenon known as cross-modal plasticity.In this study we investigated differences in functional brain network shifts from eyes-closed to eyes-open conditions between deaf and hearing people. Electroencephalography activity was recorded in deaf (N = 71) and hearing people (N = 122) living in rural Africa, which yielded a unique data-set of congenital, pre-lingual and post-lingual deaf people, with a divergent experience in American Sign Language. Functional networks were determined from the synchronization of electroencephalography signals between fourteen electrodes distributed over the scalp. We studied the synchronization between the auditory and visual cortex and performed whole-brain minimum spanning tree analysis based on the phase lag index of functional connectivity. This tree analysis accounts for variations in global network density and allows unbiased characterization of functional network backbones. We found increased functional connectivity between the auditory and visual cortex in deaf people during the eyesclosed condition in both the alpha and beta bands. Furthermore, we found functional network backbone shifts both in deaf and healthy people as they went from eyes-closed to eyes-open conditions. In both the alpha and beta band the deafs' brain showed larger functional backbone-shifts in node strength compared to controls. In the alpha band this shift in network strength differed among deaf participants and depended on type of deafness: congenital, prelingual or post-lingual deafness. In addition, a correlation was found between functional backbone characteristics and experience of sign language. Our study revealed more insights in functional network reorganization specifically due to prolonged lack of auditory input, but might also be helpful for sensory deprivation and cross-modal plasticity in general. Global cortical network reorganization in deaf people supports the plastic capacities of the young brain. The differences between type of deafness stresses that etiology affects functional . CC-BY-NC 4.0 International license It is made available under a (which was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.The copyright holder for this preprint . http://dx.doi.org/10.1101/335414 doi: bioRxiv preprint first posted online 3 reorganization, whereas the association between network organization and acquired sign language experience reflects ongoing brain adaptation in people with hearing disabilities.

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“…However, the approach only measures how certain objectives are achieved during game play for classification, which is a subjective measure. In [21], an analysis of the experience of a video game player is presented based on recorded EEG signals and shows that wearable EEG devices can be used for game analytics and to differentiate various cognitive processes.…”

Section: Introductionmentioning

confidence: 99%

A Game Player Expertise Level Classification System Using Electroencephalography (EEG)

et al. 2017

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Abstract:The success and wider adaptability of smart phones has given a new dimension to the gaming industry. Due to the wide spectrum of video games, the success of a particular game depends on how efficiently it is able to capture the end users' attention. This leads to the need to analyse the cognitive aspects of the end user, that is the game player, during game play. A direct window to see how an end user responds to a stimuli is to look at their brain activity. In this study, electroencephalography (EEG) is used to record human brain activity during game play. A commercially available EEG headset is used for this purpose giving fourteen channels of recorded EEG brain activity. The aim is to classify a player as expert or novice using the brain activity as the player indulges in the game play. Three different machine learning classifiers have been used to train and test the system. Among the classifiers, naive Bayes has outperformed others with an accuracy of 88%, when data from all fourteen EEG channels are used. Furthermore, the activity observed on electrodes is statistically analysed and mapped for brain visualizations. The analysis has shown that out of the available fourteen channels, only four channels in the frontal and occipital brain regions show significant activity. Features of these four channels are then used, and the performance parameters of the four-channel classification are compared to the results of the fourteen-channel classification. It has been observed that support vector machine and the naive Bayes give good classification accuracy and processing time, well suited for real-time applications.

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Modality specific assessment of video game player’s experience using the Emotiv

Cited by 90 publications

References 57 publications

Neural Basis of Video Gaming: A Systematic Review

Neural Basis of Video Gaming: A Systematic Review

The power of language: functional brain network topology of deaf and hearing in relation to sign language experience

A Game Player Expertise Level Classification System Using Electroencephalography (EEG)

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