Effects of a 3D Virtual Reality Neurofeedback Scenario on User Experience and Performance in Stroke Patients

Kober, Silvia Erika; Reichert, Johanna Louise; Schweiger, Daniela; Neuper, Christa; Wood, Guilherme

doi:10.1007/978-3-319-50182-6_8

Cited by 11 publications

(27 citation statements)

References 37 publications

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“…Another possibility is that the fascination engendered by the connection of individual's brain activity and visual feedback regardless of its more specific format is sufficient to produce high levels of engagement on NF training (Ali et al, 2014) and overshadow any positive or negative effects of gamification. Finally, it is possible that positive effects of gamification on motivation can be detected only after several sessions of training (Ninaus et al, 2015;Kober et al, 2016). When comparing two working memory training programs with and without game elements, Ninaus et al (2015) observed the first positive effects of gamification on training engagement only after several sessions of training.…”

Section: Nf Format and Gamificationmentioning

confidence: 99%

“…It is about uniting all aspects of learning and offering this playful treatment to all age groups, and not just children and adolescents (Susi et al, 2007). Particularly in association with NF, the motivation and interest during training can be increased with enriched and game-like three-dimensional feedback modalities (Gaume et al, 2016;Kober et al, 2016Kober et al, , 2018a. Due to the scarcity of empirical studies, it remains open whether game-like feedback screens may improve NF training outcomes when compared to classic NF training settings (Kober et al, 2018a).…”

Section: Introductionmentioning

confidence: 99%

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How Much Do Strategy Reports Tell About the Outcomes of Neurofeedback Training? A Study on the Voluntary Up-Regulation of the Sensorimotor Rhythm

Autenrieth

Kober

Neuper

et al. 2020

Front. Hum. Neurosci.

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The core learning mechanisms of neurofeedback (NF) training are associative, implicit, and, consequently, largely impervious to consciousness. Many other aspects of training that determine training outcomes, however, are accessible to conscious processing. The outcomes of sensorimotor rhythm (SMR) up-regulation training are related to the strategies reported by participants. The classification methods of individual strategies employed hitherto were possibly under influence of the idiosyncratic interpretation of the rater. To measure and possibly overcome this limitation, we employed independent raters to analyze strategies reported during SMR up-regulation training. Sixty-two healthy young participants took part in a single session of SMR up-regulation training. After completing six blocks of training, in which they received either simple visual feedback or a gamified version thereof, participants were required to report the strategies employed. Their individual learning outcomes were computed as well. Results point out that individual strategies as well as NF learning outcomes were not particularly sensitive to the presence of gamified elements in training the SMR up-regulation. A high degree of consistency across independent raters classifying strategy reports was observed. Some strategies were more typical of responders while other ones were more common among non-responders. In summary, we demonstrate a more objective and transparent way to analyze individual mental strategies to shed more light on the differences between NF responders and non-responders.

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Section: Nf Format and Gamificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How Much Do Strategy Reports Tell About the Outcomes of Neurofeedback Training? A Study on the Voluntary Up-Regulation of the Sensorimotor Rhythm

Autenrieth

Kober

Neuper

et al. 2020

Front. Hum. Neurosci.

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“…Other studies have combined VR and NFT techniques and applied them to the treatment and rehabilitation of nervous system diseases such as stroke and Alzheimer’s disease. Using these techniques can enhance the therapeutic effects of traditional NFT ( Kober et al, 2016 ; Federica et al, 2020 ).…”

Section: Future Directions Of Sp–nft Developmentmentioning

confidence: 99%

A Review of Neurofeedback Training for Improving Sport Performance From the Perspective of User Experience

Gong

Nan

et al. 2021

Front. Neurosci.

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Neurofeedback training (NFT) is a non-invasive, safe, and effective method of regulating the nerve state of the brain. Presently, NFT is widely used to prevent and rehabilitate brain diseases and improve an individual’s external performance. Among the various NFT methods, NFT to improve sport performance (SP-NFT) has become an important research and application focus worldwide. Several studies have shown that the method is effective in improving brain function and motor control performance. However, appropriate reviews and prospective directions for this technology are lacking. This paper proposes an SP-NFT classification method based on user experience, classifies and discusses various SP-NFT research schemes reported in the existing literature, and reviews the technical principles, application scenarios, and usage characteristics of different SP-NFT schemes. Several key issues in SP-NFT development, including the factors involved in neural mechanisms, scheme selection, learning basis, and experimental implementation, are discussed. Finally, directions for the future development of SP-NFT, including SP-NFT based on other electroencephalograph characteristics, SP-NFT integrated with other technologies, and SP-NFT commercialization, are suggested. These discussions are expected to provide some valuable ideas to researchers in related fields.

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“…Traditional feedback modalities use auditory or visual stimuli or a combination of both. Auditory feedback might be a sound (e.g., the sound of a waterfall, birds singing), a tone or a melody changing its volume or pitch in dependence on the brain activity level [25,26]. Visual feedback often uses two-dimensional (2D) moving objects such as bars or circles changing their size or color in dependence on the brain activity level [6,26,27].…”

Section: Introductionmentioning

confidence: 99%

“…Auditory feedback might be a sound (e.g., the sound of a waterfall, birds singing), a tone or a melody changing its volume or pitch in dependence on the brain activity level [25,26]. Visual feedback often uses two-dimensional (2D) moving objects such as bars or circles changing their size or color in dependence on the brain activity level [6,26,27]. Such relatively monotonous feedback methods might not encourage users to focus on them [28], leading to decreased motivation, interest, concentration, and finally to a lower NF performance and success rate [15].…”

Section: Introductionmentioning

confidence: 99%

Does Feedback Design Matter? A Neurofeedback Study Comparing Immersive Virtual Reality and Traditional Training Screens in Elderly

Kober

Reichert

Schweiger

et al. 2017

IJSG

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Neurofeedback (NF) is a Brain-Computer Interface (BCI) application, in which the brain activity is fed back to the user in real-time enabling voluntary brain control. In this context, the significance of the feedback design is mainly unexplored. Highly immersive feedback scenarios using virtual reality (VR) technique are available. However, their effects on subjective user experience as well as on objective outcome measures remain open. In the present article, we discuss the general pros and cons of using VR as feedback modality in BCI applications. Furthermore, we report on the results of an empirical study, in which the effects of traditional two-dimensional and three-dimensional VR based feedback scenarios on NF training performance and user experience in healthy older individuals and neurologic patients were compared. In conclusion, we suggest indications and contraindications of immersive VR feedback designs in BCI applications. Our results show that findings in healthy individuals are not always transferable to patient populations having an impact on serious game and feedback design.

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Effects of a 3D Virtual Reality Neurofeedback Scenario on User Experience and Performance in Stroke Patients

Cited by 11 publications

References 37 publications

How Much Do Strategy Reports Tell About the Outcomes of Neurofeedback Training? A Study on the Voluntary Up-Regulation of the Sensorimotor Rhythm

How Much Do Strategy Reports Tell About the Outcomes of Neurofeedback Training? A Study on the Voluntary Up-Regulation of the Sensorimotor Rhythm

A Review of Neurofeedback Training for Improving Sport Performance From the Perspective of User Experience

Does Feedback Design Matter? A Neurofeedback Study Comparing Immersive Virtual Reality and Traditional Training Screens in Elderly

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