The Research of Emotional State Influence on Quality of a Brain-Computer Interface Usage

Voznenko, Timofei I.; Urvanov, Gleb A.; Dyumin, Alexander A.; Andrianova, Svetlana; Chepin, Eugene V.

doi:10.1016/j.procs.2016.07.454

Cited by 11 publications

(5 citation statements)

References 9 publications

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“…Improved data acquisition techniques are invented with new devices but most of the methods are still following traditional processes. HSD can be used as an observation tool that uses data on physical, cognitive, emotional, and monitoring capacities [10] while adapting to data quality trade-offs [11]. The use of machine learning (ML) algorithms to analyze data and develop applications has been increasing in many areas, such as intelligent tutoring, robotics, medical diagnosis, stress recognition, and decision support [12].…”

Section: Literature Reviewmentioning

confidence: 99%

A Systematic Literature Review on Machine Learning Algorithms for Human Status Detection

2022

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Human status detection (HSD) is important to understand the status of users when interacting with various systems under different conditions. Recently, although various machine learning algorithms have been applied to analyze and detect human status, there are no guidelines to utilize machine learning algorithms to analyze physical, cognitive, and emotional aspects of human status. Therefore, this study aimed to investigate measures, tools, and machine learning algorithms for HSD by applying a systematic literature review method. We followed the preferred reporting items for systematic reviews and metaanalysis (PRISMA) model to answer three research questions related to the research objective. A total of 76 articles were identified using two hundred keyword combinations addressing topics under HSD in the fields of human factors and human-computer interaction (HCI). The results showed that research on HSD becomes important in industrial systems, focusing on how intelligent systems based on machine learning (ML) differ from earlier generations of automated systems, and what these differences necessarily imply for HCI to design and evaluation. The tools used to collect data for HSD on different parameters are broadly discussed. Recent HSD studies seem to focus on cognitive load and emotion, whereas prior studies have focused on the detection of physical effort. This research assists domain researchers in identifying HSD approaches using different ML algorithms that are suitable for use in their research.

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Section: Literature Reviewmentioning

confidence: 99%

A Systematic Literature Review on Machine Learning Algorithms for Human Status Detection

2022

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“…The image recognition accuracy improvement is achieved via prolonged patient training. Also, there are many studies aimed at the recognition accuracy improvement, for example, considering the emotional state of the operator [6,7].…”

Section: Related Workmentioning

confidence: 99%

The Non-traditional Methods of Robotic Wheelchair Multi-channel Control

Voznenko

Gridvev

Chepin

2018

KEG

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“…The BCI performance may be enhanced in various ways by selecting the optimal pre-processing techniques [ 24 , 25 , 26 ], features [ 25 , 27 , 28 , 29 , 30 ], classifiers [ 29 , 31 ], or by focusing on user instructions and training [ 23 , 32 , 33 ]. By improving the BCI performance, the patients’ perceived control and frustration improve as well [ 34 , 35 , 36 , 37 , 38 , 39 , 40 ], which may help them maintain interest in the training. Moreover, frustration has a detrimental effect on BCI performance with increasing frustration leading to worse BCI performance [ 39 ].…”

Section: Introductionmentioning

confidence: 99%

“…By improving the BCI performance, the patients’ perceived control and frustration improve as well [ 34 , 35 , 36 , 37 , 38 , 39 , 40 ], which may help them maintain interest in the training. Moreover, frustration has a detrimental effect on BCI performance with increasing frustration leading to worse BCI performance [ 39 ]. Despite the use of optimal signal processing techniques or learning principles, the BCI performance may still be poor for some users, or other factors may impede the BCI performance, such as incompetence or fear [ 41 ].…”

Section: Introductionmentioning

confidence: 99%

Implementing Performance Accommodation Mechanisms in Online BCI for Stroke Rehabilitation: A Study on Perceived Control and Frustration

Jochumsen

Hougaard

Kristensen

et al. 2022

Sensors

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Brain–computer interfaces (BCIs) are successfully used for stroke rehabilitation, but the training is repetitive and patients can lose the motivation to train. Moreover, controlling the BCI may be difficult, which causes frustration and leads to even worse control. Patients might not adhere to the regimen due to frustration and lack of motivation/engagement. The aim of this study was to implement three performance accommodation mechanisms (PAMs) in an online motor imagery-based BCI to aid people and evaluate their perceived control and frustration. Nineteen healthy participants controlled a fishing game with a BCI in four conditions: (1) no help, (2) augmented success (augmented successful BCI-attempt), (3) mitigated failure (turn unsuccessful BCI-attempt into neutral output), and (4) override input (turn unsuccessful BCI-attempt into successful output). Each condition was followed-up and assessed with Likert-scale questionnaires and a post-experiment interview. Perceived control and frustration were best predicted by the amount of positive feedback the participant received. PAM-help increased perceived control for poor BCI-users but decreased it for good BCI-users. The input override PAM frustrated the users the most, and they differed in how they wanted to be helped. By using PAMs, developers have more freedom to create engaging stroke rehabilitation games.

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The Research of Emotional State Influence on Quality of a Brain-Computer Interface Usage

Cited by 11 publications

References 9 publications

A Systematic Literature Review on Machine Learning Algorithms for Human Status Detection

A Systematic Literature Review on Machine Learning Algorithms for Human Status Detection

The Non-traditional Methods of Robotic Wheelchair Multi-channel Control

Implementing Performance Accommodation Mechanisms in Online BCI for Stroke Rehabilitation: A Study on Perceived Control and Frustration

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