Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/5848
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gumus, Ahmet Ergun | - |
dc.contributor.author | Gurkaynak, Nilgun | - |
dc.date.accessioned | 2025-01-25T17:06:39Z | - |
dc.date.available | 2025-01-25T17:06:39Z | - |
dc.date.issued | 2024 | - |
dc.identifier.isbn | 9798331529819 | - |
dc.identifier.isbn | 9798331529826 | - |
dc.identifier.issn | 2687-7775 | - |
dc.identifier.uri | https://doi.org/10.1109/TIPTEKNO63488.2024.10755274 | - |
dc.description.abstract | The study's aim is to consider setting research agenda for emotional AI to enhance marketing strategies, consequently to improve customer satisfaction. This study explores the integration of emotional artificial intelligence (AI) developed using data generated by neuro-physiological tracking systems in marketing and customer relationship management. Emotional AI, capable of recognizing and interpreting human emotions, offers significant opportunities for creating personalized customer experiences. The research investigates how emotional AI can enhance marketing strategies, improve customer satisfaction. It also addresses the ethical considerations and challenges associated with collecting and utilizing emotional data. By leveraging emotional AI, it is assumed brands can foster trust-based relationships and gain a competitive edge in the market. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2024 Medical Technologies Congress -- OCT 10-12, 2024 -- Bodrum, TURKIYE | en_US |
dc.relation.ispartofseries | Medical Technologies National Conference | - |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Emotional Artificial Intelligence | en_US |
dc.subject | AI In Marketing | en_US |
dc.subject | AI In Crm | en_US |
dc.title | Setting the Research Agenda: Emotion Recognition Tools for AI-Generated Marketing and CRM | en_US |
dc.type | Conference Object | en_US |
dc.identifier.doi | 10.1109/TIPTEKNO63488.2024.10755274 | - |
dc.identifier.scopus | 2-s2.0-85212666379 | - |
dc.department | İzmir Ekonomi Üniversitesi | en_US |
dc.authorwosid | Gurkaynak, Nilgun/Hmv-2806-2023 | - |
dc.authorscopusid | 58859430400 | - |
dc.authorscopusid | 58808754900 | - |
dc.identifier.wos | WOS:001454367500018 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | N/A | - |
dc.identifier.wosquality | N/A | - |
dc.description.woscitationindex | Conference Proceedings Citation Index - Science | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | reserved | - |
item.languageiso639-1 | en | - |
item.openairetype | Conference Object | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 03.02. Business Administration | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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