Neurocognitive Impact of Icon Styles and Semantics on Memory and Recall Speed: An N-Back Study Using EEG

This research investigates the effectiveness of icons in memory-related tasks, focusing on two icon styles (Solid and Outline) and two semantic classifications (Resemblance and Abstract). Through the N-Back task and electroencephalogram (EEG) measurements, the study aims to provide quantitative insights into memory load and recall speed. Twelve University of Kent students participated in an experiment involving 1-Back and 2-Back tests, using four icon combinations: Solid Resemblance, Solid Abstract, Outline Resemblance, and Outline Abstract. Each participant completed eight tests, during which N-Back reaction times, accuracy, and EEG data were recorded using a 32-channel wireless brain-computer interface (BCI). Statistical analysis was performed using the Wilcoxon signed rank test to evaluate reaction times and event-related potentials (ERPs). The results revealed no significant differences in recall speed between the Solid and Outline icon styles. However, contrary to previous research favoring Resemblance icons, Abstract icons were recalled significantly faster, particularly in the Outline style. However, Outline Abstract icons exhibited a significantly smaller P300 amplitude compared to Outline Resemblance icons, indicating a higher memory load. These findings suggest that Outline Resemblance icons may offer better usability due to their lower memory load but Outline Abstract icons if recall speed is the key. The study also employed N400 analysis to further explore the semantic processing of the icon combinations. These findings underscore the need for further research into the various dimensions of icons to better understand their impact on memory performance.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/icdici62993.2024.10810917
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.34
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article

Neurocognitive Impact of Icon Styles and Semantics on Memory and Recall Speed: An N-Back Study Using EEG

Ramaswamy Palaniappan, Daniel Thomas-Hercules
1 citations
EEG and Brain-Computer Interfaces
0.34
article

Neurocognitive Impact of Icon Styles and Semantics on Memory and Recall Speed: An N-Back Study Using EEG

Ramaswamy Palaniappan, Daniel Thomas-Hercules
article en
1 citations

Abstract

This research investigates the effectiveness of icons in memory-related tasks, focusing on two icon styles (Solid and Outline) and two semantic classifications (Resemblance and Abstract). Through the N-Back task and electroencephalogram (EEG) measurements, the study aims to provide quantitative insights into memory load and recall speed. Twelve University of Kent students participated in an experiment involving 1-Back and 2-Back tests, using four icon combinations: Solid Resemblance, Solid Abstract, Outline Resemblance, and Outline Abstract. Each participant completed eight tests, during which N-Back reaction times, accuracy, and EEG data were recorded using a 32-channel wireless brain-computer interface (BCI). Statistical analysis was performed using the Wilcoxon signed rank test to evaluate reaction times and event-related potentials (ERPs). The results revealed no significant differences in recall speed between the Solid and Outline icon styles. However, contrary to previous research favoring Resemblance icons, Abstract icons were recalled significantly faster, particularly in the Outline style. However, Outline Abstract icons exhibited a significantly smaller P300 amplitude compared to Outline Resemblance icons, indicating a higher memory load. These findings suggest that Outline Resemblance icons may offer better usability due to their lower memory load but Outline Abstract icons if recall speed is the key. The study also employed N400 analysis to further explore the semantic processing of the icon combinations. These findings underscore the need for further research into the various dimensions of icons to better understand their impact on memory performance.

Medway School of Pharmacy (GB), University of Kent (GB)
Reduced inequalities
Openalex Percentile: Top 37%
EEG and Brain-Computer Interfaces
0.34
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Neurocognitive Impact of Icon Styles and Semantics on Memory and Recall Speed: An N-Back Study Using EEG — Ramaswamy Palaniappan, Daniel Thomas-Hercules · (2024) | TGRS Research Map | TGRS