Araştırma Makalesi

Neuro-AI Decision Prediction

Cilt: 8 Sayı: 1 31 Temmuz 2024
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Neuro-AI Decision Prediction

Öz

Emotions are a primary factor in determining an individual's mental health and play a significant role in their daily life. In today's evolving digital age, apps are becoming more integrated into daily routines. Understanding how these applications affect emotions is becoming increasingly important for the field of neuromarketing. Our project aims to explore in detail the dynamic relationship shared between apps and human emotions. The goal is to analyze how human moods during app usage influence decision-making, providing a comprehensive understanding of this interaction. From social media platforms to productivity tools and entertainment applications, apps offer a unique window into the human experience. Users spend significant time and emotional energy interacting with these applications. The emotions experienced while using an ever-increasing number of apps have profound effects on their mental states and satisfaction. Our study aims to delve into the structure between human emotions and digital interfaces, uncovering the complexities of this relationship. By examining the emotional responses elicited by various moods and applications, the study seeks to gain valuable insights into user experience. Ultimately, our project aims to illuminate the relationship between human emotions and applications, offering a comprehensive analysis that reflects the complexity of our digital world and leading to more empathetic and user-centered digital designs.

Anahtar Kelimeler

Kaynakça

  1. [1] Adhami, M. (2013). Using neuromarketing to discover how we really feel about apps. International journal of mobile marketing, 8(1), 95-103.
  2. [2] Khurana, Vaishali & Gahalawat, Monika & Kumar, Pradeep & Roy, Partha & Dogra, Debi & Scheme, Erik & Soleymani, Mohammad. (2021). A Survey on Neuromarketing using EEG Signals. IEEE Transactions on Cognitive and Developmental Systems. PP. 1-1. 10.1109/TCDS.2021.3065200.
  3. [3] D. S. Moschona, "An Affective Service based on Multi-Modal Emotion Recognition, using EEG enabled Emotion Tracking and Speech Emotion Recognition," 2020 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia), Seoul, Korea (South), 2020, pp. 1-3, doi: 10.1109/ICCE-Asia49877.2020.9277291. keywords: {Speech recognition;Electroencephalography;Emotion recognition;Brain modeling;Databases;Feature extraction;Computational modeling;Emotion recognition;Emotion detection;Electroencephalography (EEG);EEG enabled Emotion Tracking;Brain waves;Brain-Computer Interface (BCI);Speech Recognition;Speech Emotion Recognition (SER);Multi-Modal Emotion Recognition;Human-Computer Interaction (HCI);Affective Service;Affective Computing}, https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9277291
  4. [4] Golnar-Nik, P., Farashi, S., & Safari, M. S. (2019). The application of EEG power for the prediction and interpretation of consumer decision-making: A neuromarketing study. Physiology & behavior, 207, 90-98.
  5. [5] Golnar-Nik, P., Farashi, S., & Safari, M. S. (2019). The application of EEG power for the prediction and interpretation of consumer decision-making: A neuromarketing study. Physiology & behavior, 207, 90-98.
  6. [6] Understanding consumer physiological and emotional responses to food products using electroencephalography (EEG)
  7. [7] How to win an award for effective advertising?, https://www.neurensics.com/en/case-tele2-how-to-win-an-award-for-effective-advertising
  8. [8] Jamal, Suhaima, et al. "Integration of EEG and eye tracking technology: a systematic review." SoutheastCon 2023 (2023): 209-216.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yazılım Mühendisliği (Diğer)

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

9 Temmuz 2024

Yayımlanma Tarihi

31 Temmuz 2024

Gönderilme Tarihi

30 Mayıs 2024

Kabul Tarihi

8 Temmuz 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 8 Sayı: 1

Kaynak Göster

APA
Yalçın, E., Küçükçoban, A. D., Kara, M., Olca, E., Akal, D., & Duran, S. (2024). Neuro-AI Decision Prediction. International Journal of Multidisciplinary Studies and Innovative Technologies, 8(1), 10-16. https://izlik.org/JA74DU85XT
AMA
1.Yalçın E, Küçükçoban AD, Kara M, Olca E, Akal D, Duran S. Neuro-AI Decision Prediction. IJMSIT. 2024;8(1):10-16. https://izlik.org/JA74DU85XT
Chicago
Yalçın, Erman, Arda Deniz Küçükçoban, Melis Kara, Emre Olca, Doğa Akal, ve Sanem Duran. 2024. “Neuro-AI Decision Prediction”. International Journal of Multidisciplinary Studies and Innovative Technologies 8 (1): 10-16. https://izlik.org/JA74DU85XT.
EndNote
Yalçın E, Küçükçoban AD, Kara M, Olca E, Akal D, Duran S (01 Temmuz 2024) Neuro-AI Decision Prediction. International Journal of Multidisciplinary Studies and Innovative Technologies 8 1 10–16.
IEEE
[1]E. Yalçın, A. D. Küçükçoban, M. Kara, E. Olca, D. Akal, ve S. Duran, “Neuro-AI Decision Prediction”, IJMSIT, c. 8, sy 1, ss. 10–16, Tem. 2024, [çevrimiçi]. Erişim adresi: https://izlik.org/JA74DU85XT
ISNAD
Yalçın, Erman - Küçükçoban, Arda Deniz - Kara, Melis - Olca, Emre - Akal, Doğa - Duran, Sanem. “Neuro-AI Decision Prediction”. International Journal of Multidisciplinary Studies and Innovative Technologies 8/1 (01 Temmuz 2024): 10-16. https://izlik.org/JA74DU85XT.
JAMA
1.Yalçın E, Küçükçoban AD, Kara M, Olca E, Akal D, Duran S. Neuro-AI Decision Prediction. IJMSIT. 2024;8:10–16.
MLA
Yalçın, Erman, vd. “Neuro-AI Decision Prediction”. International Journal of Multidisciplinary Studies and Innovative Technologies, c. 8, sy 1, Temmuz 2024, ss. 10-16, https://izlik.org/JA74DU85XT.
Vancouver
1.Erman Yalçın, Arda Deniz Küçükçoban, Melis Kara, Emre Olca, Doğa Akal, Sanem Duran. Neuro-AI Decision Prediction. IJMSIT [Internet]. 01 Temmuz 2024;8(1):10-6. Erişim adresi: https://izlik.org/JA74DU85XT