0% Complete
صفحه اصلی
/
بیست و نهمین کنفرانس مهندسی برق ایران
Brain Effective Connectivity Comparision in Different States of Familiarity and Desiring Brands Confrontation: a Neuromarketing Study
نویسندگان :
Mahdi Taghaddossi
1
Mohammad Hasan Moradi
2
1- Amirkabir University of Technology
2- Amirkabir University of Technology
کلمات کلیدی :
Neuromarketing, effective connectivity, k-means clustering, ICA implementation, statistical comparison
چکیده :
Various studies have been accomplished in the field of Neuromarketing. But employing the connectivity method in this field has less been considered. In this study, we tend to investigate effective connectivity changes at confrontation to four different states of familiarity (watched before on not) and desiring (choose for purchase or not) brand. After preprocessing of Electroencephalograph (EEG) dataset recorded from 20 participants we found effective areas of the brain in this study using K-means clustering. Then we measured the effective relation between each area using the generalized partial coherence index (GPDC) connectivity index. We tested for each relation between brain areas in four different states and figured out every brain area's relations have significant differences between the four states. To find different state or states we used a Post-hoc test. We understood the states of watching brands which have included familiar brands have significantly a higher value for almost all brain areas’ directed relations. In the end, we concluded watching a familiar brand no matter buying it or not will result in a higher value of effective relations between areas.
لیست مقالات
لیست مقالات بایگانی شده
Vision Transformer and Parallel Convolutional Neural Network for Speech Emotion Recognition
Saber Hashemi - Mohammad Asgari
Batch(offline) Reinforcement Learning for recommender system
Mohammad Amir Rezaei Gazik - Mehdy Roayaei
Error Probability Analysis of Non-Orthogonal Multiple Access
Rozita Shafie - AliAkbar Tadaion - Zolfa Zeinalpour-Yazdi
مدل سازی ریزالور دو درجه آزادی خطی با استفاده از تابع سیمپیچی اصلاح شده
فرید توتونچیان - رضا فریادرس
A Lightweight Authentication Protocol For M2M Communication In IIoT Using Physical Unclonable Functions
Elaheh Kharghani - Saeed Aliakbari - Javad Bidad - Amir masoud Aminian moddares
Numerical Study of a Microfluidic-Based Motile Sperm Enrichment Using Sperm Rheotactic Behavior
Mohammadjavad Bouloorchi - Saeed Javadizadeh - Aref Valipour - MirBehrad Mousavi - Majid Badieirostami
Adaptive Fault Tolerant Control in Time-Varying Formation of Multi-Agent Systems
Elham Bahrampour - Mohammad Tavazoei
Adaptive dynamic programming for kinematic control of 3 interconnected wheeled mobile robots
Aliakbar Ghasemzadeh - Roya Amjadifard - Ali Keymasi Khalaji
تجزیه و تحلیل امواج فیبریلاتور دهلیزی به منظور طبقهبندی AF با استفاده از موجک لیدر
سارا میهن دوست
طراحی کنترلکننده استروباسکوپ زمان واقعی مبتنی بر هوش مصنوعی برای سیستم های دورانی
مهدی مظفری - سعید جعفری نسب - حامد پورکاوه - سعید شمقدری
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.3.1