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
Cloudy: A Pythonic Cloud Simulator
Ahmad Siavashi - Mahmoud Momtazpour
مکان یابی بهینه ذخیره سازهای متحرک انرژی الکتریکی با هدف بهبود تاب آوری سیستم توزیع قبل از طوفان
سبحان آقابابایی - محمد صادق سپاسیان
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 different pillar shapes using deterministic lateral displacement method for particle separation
Mohammad Mahdi Eskandari Sani - Mahdi Aliverdinia - Mahdi Moghimi Zand
ℒ1 Adaptive Control Design Using CMPC: Applied to Single-Link Flexible Joint Manipulator
Hossein Ahmadian - Heidar Ali Talebi - Iman Sharifi
Classifying Human Spatial Navigation Anxiety Using Electrooculography Signals and Machine Learning Techniques
Saeed Mousavi - Sara Ashrafi - Mehdi Delrobaei
Design and Analysis of Concentrated Field TFPM Generator for Direct-Drive Wind Turbines
Maryam Salehi - Ahmad Darabi - Aghil Ghaheri - Mohammad Hoseintabar Marzebali
Automatic Classification of Parkinson’s Disease Using Best Parameters of Forward and Backward Walking
Atiye Riasi - Mehdi Delrobaei
A Low-Cost Linearized Analog Resolver-To-DC Converter
Seyed Ali Samareh-TaheriNasab - Mohammad Sadegh KhajueeZadeh - Zahra Nasiri-Gheeidari - Samad Sheikhaei
Design and Demonstration of a Novel Microfluidic Channel for Trapping Circulating Tumor Cells with Magnetophoresis
Atin Bakhshi - Seyed Ehsan Hosseininasab - Vahid Ghafouri - Mehdi Rahmanian - Majid Badiei Rostami
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.3.2