Good Vibrations: Tuning a Systems Dynamics Model of Affect and Cognition in Learning to the Appropriate Frequency Bands of Fine-Grained Temporal Sequences of Data

Mercier, Julien; Whissell-Turner, Kathleen; Paradis, Ariane; Avaca, Ivan Luciano

doi:10.1145/3439231.3440604

Cited by 2 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 1 shows in detail the literature and citation searches, as well as the screening phases, that led to the selection of the documents included in the review. [2,24,25,41,45,48,[49][50][51]61,82,83,85,87,[93][94][95]. Overall, the included documents covered the time period from 1995 to 2022.…”

Section: Resultsmentioning

confidence: 99%

Ratio Indexes Based on Spectral Electroencephalographic Brainwaves for Assessment of Mental Involvement: A Systematic Review

Marcantoni,

Assogna,

Del Borrello

et al. 2023

Sensors

View full text Add to dashboard Cite

Background: This review systematically examined the scientific literature about electroencephalogram-derived ratio indexes used to assess human mental involvement, in order to deduce what they are, how they are defined and used, and what their best fields of application are. (2) Methods: The review was carried out according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. (3) Results: From the search query, 82 documents resulted. The majority (82%) were classified as related to mental strain, while 12% were classified as related to sensory and emotion aspects, and 6% to movement. The electroencephalographic electrode montage used was low-density in 13%, high-density in 6% and very-low-density in 81% of documents. The most used electrode positions for computation of involvement indexes were in the frontal and prefrontal cortex. Overall, 37 different formulations of involvement indexes were found. None of them could be directly related to a specific field of application. (4) Conclusions: Standardization in the definition of these indexes is missing, both in the considered frequency bands and in the exploited electrodes. Future research may focus on the development of indexes with a unique definition to monitor and characterize mental involvement.

show abstract

Section: Resultsmentioning

confidence: 99%

Ratio Indexes Based on Spectral Electroencephalographic Brainwaves for Assessment of Mental Involvement: A Systematic Review

Marcantoni,

Assogna,

Del Borrello

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Computerized tasks from cognitive psychology [90]- [93], such as N-back tasks [94]- [97] and Sternberg tasks [76], [98]- [102] were considered low-noise. Computer games [85], [103], [104] were included in the low-noise category. Data presentation tasks, visual [105]- [108] or auditory [109]- [111], and multiple learning tasks [13], [18], [112], [113], including code comprehension tasks [114]- [116] and mathematical tasks [117]- [120], were categorized as low-noise ones.…”

Section: A Rq (A): Classification Of Cognitive Load Experiments Based...mentioning

confidence: 99%

“…The specification of a threshold was a trend during manual epoch rejection. Several researchers have employed an amplitude threshold [93], [96], [98], [103], [107], [112], [128], [135] Other manual epoch rejections have been reported, such as short windows with high peaks [134], trials with large interruptions such as missing signals, large continuous spikes, and streams of a fixed constant value [136], eyeblinks detected using the EyeTribe [13], and occasional noise spikes, namely sudden, short-duration fluctuations in the voltage [132].…”

Section: ) How Was Standard Preprocessing Executed In Semi-automated ...mentioning

confidence: 99%

“…ICA was selected mostly to identify ocular artifacts (eye blinks and eye movements) [14], [93], [94], [103], [110], [112], [122], [126], [130], [135], [136], [138], muscle artifacts [93], [94], [107], [107], [110], [116], [116], [126], [128], [128], [138], cardiac artifacts [93], [128], and artifacts caused by sweat and movements [138]. Ocular artifacts were associated with concentrated signal distribution in the occipital regions.…”

Section: ) How Was Standard Preprocessing Executed In Semi-automated ...mentioning

confidence: 99%

“…Specifically, ICA proved effective in denoising EEG signal captured during a cognitive assessment task performed by 127 university students [92]. A serious computer game played by 82 university students proved that manual epoch rejection of large artifacts and ICA are efficient denoising techniques [103]. A sonification low-noise task with 75 participants validated resampling to 1000 Hz [111].…”

Section: Rq (C): On the Efficacy Of Denoising Approaches Based On The...mentioning

confidence: 99%

See 2 more Smart Citations

A Comprehensive Survey of EEG Preprocessing Methods for Cognitive Load Assessment

Kyriaki,

Koukopoulos,

Fidas

2024

IEEE Access

View full text Add to dashboard Cite

Preprocessing electroencephalographic (EEG) signals during computer-mediated Cognitive Load tasks is crucial in Human-Computer Interaction (HCI). This process significantly influences subsequent EEG analysis and the efficacy of Artificial Intelligence (AI) models employed in Cognitive Load Assessment.Consequently, it stands as an indispensable procedure for developing dependable systems capable of adapting to users' cognitive capacities and constraints. We systematically analyzed fifty-seven (57) research papers on computer-mediated Cognitive Load EEG experiments published between 2018 and 2023. The preprocessing methods identified were multiple, controversial, and strongly dependent on the particularities of each experiment and the derived experimental dataset. Our investigation involved the meticulous classification of preprocessing methods based on distinct parameters, namely the degree of user intervention, the noise level, and the subject pool size. Particular attention was paid to semi-automated denoising technology since conventional methods, advanced approaches, and standardized pipelines overwhelm research, but no optimum solution is available yet. This survey is anticipated to provide a valuable contribution to the rising demand for an efficient and fully automated preprocessing approach in EEG-based computerized Cognitive Load experiments.

show abstract

Good Vibrations: Tuning a Systems Dynamics Model of Affect and Cognition in Learning to the Appropriate Frequency Bands of Fine-Grained Temporal Sequences of Data

Cited by 2 publications

References 8 publications

Ratio Indexes Based on Spectral Electroencephalographic Brainwaves for Assessment of Mental Involvement: A Systematic Review

Ratio Indexes Based on Spectral Electroencephalographic Brainwaves for Assessment of Mental Involvement: A Systematic Review

A Comprehensive Survey of EEG Preprocessing Methods for Cognitive Load Assessment

Contact Info

Product

Resources

About