Identifying the Effect of Cognitive Motivation with the Method Based on Temporal Association Rule Mining Concept
บทความในวารสาร
ผู้เขียน/บรรณาธิการ
กลุ่มสาขาการวิจัยเชิงกลยุทธ์
รายละเอียดสำหรับงานพิมพ์
รายชื่อผู้แต่ง: Phukhachee T., Maneewongvatana S., Chaiyanan C., Iramina K., Kaewkamnerdpong B.
ผู้เผยแพร่: MDPI
ปีที่เผยแพร่ (ค.ศ.): 2024
Volume number: 24
Issue number: 9
หน้าแรก: 2857
นอก: 14248220
eISSN: 1424-8220
ภาษา: English-Great Britain (EN-GB)
บทคัดย่อ
Being motivated has positive influences on task performance. However, motivation could result from various motives that affect different parts of the brain. Analyzing the motivation effect from all affected areas requires a high number of EEG electrodes, resulting in high cost, inflexibility, and burden to users. In various real-world applications, only the motivation effect is required for performance evaluation regardless of the motive. Analyzing the relationships between the motivation-affected brain areas associated with the task’s performance could limit the required electrodes. This study introduced a method to identify the cognitive motivation effect with a reduced number of EEG electrodes. The temporal association rule mining (TARM) concept was used to analyze the relationships between attention and memorization brain areas under the effect of motivation from the cognitive motivation task. For accuracy improvement, the artificial bee colony (ABC) algorithm was applied with the central limit theorem (CLT) concept to optimize the TARM parameters. From the results, our method can identify the motivation effect with only FCz and P3 electrodes, with 74.5% classification accuracy on average with individual tests. © 2024 by the authors.
คำสำคัญ
Electroencephalography, Motivation, temporal association rule mining, Visual cognitive motivation task
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