Emotion-Aware Artificial Intelligence and Sustainable Consumer Behavior: A Neuro-AI Marketing Framework for Continuous Green Consumption

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Sep 10, 2025

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I need a comprehensive PhD thesis developed on the topic of “Emotion-Aware Artificial Intelligence and Sustainable Consumer Behavior: A Neuro-AI Marketing Framework for Continuous Green Consumption.

How to deal with this assignments

1. Introduction

Briefly introduce the role of AI in marketing.
Define emotion-aware AI and why it matters in consumer decision-making.
Highlight the global push toward sustainable consumption.
State the research problem: how can neuro-AI marketing encourage continuous green consumption?
End with a clear thesis and objectives of the paper.

2. Literature Review

Emotion-aware AI in marketing: Discuss affective computing, sentiment analysis, and emotion recognition in consumer behavior.
Neuro-marketing foundations: Explain how neuroscience and AI converge to study consumer decision-making.
Sustainability and consumer behavior: Review theories/models on green consumption, eco-conscious behavior, and barriers to sustainability.
Gaps in research: Point out lack of integration between neuro-AI, emotions, and sustainability.

3. Conceptual Framework: Neuro-AI Marketing for Green Consumption

Define the Neuro-AI Marketing Framework.
Components:
- Emotion recognition (facial analysis, voice, biometrics).
- Neuro-data integration (EEG, eye-tracking, cognitive responses).
- AI personalization (tailoring green product messaging based on emotional triggers).
- Feedback loops (continuous learning from consumer interactions).
Explain how these elements encourage continuous green consumption.
Provide a diagram/flowchart of the framework.

4. Methodology (if research-based)

Indicate whether the study is conceptual, empirical, or a mixed-methods approach.
Possible data collection: consumer neuroscience experiments, surveys, AI-based simulations.
Tools: sentiment analysis, machine learning, neuroimaging.

5. Discussion & Implications

Theoretical implications: Contribution to marketing, consumer behavior, and sustainability research.
Practical implications: How businesses can use emotion-aware AI for sustainable branding, product innovation, and eco-friendly campaigns.
Ethical considerations: Data privacy, manipulation concerns, and responsible AI use.
Policy implications: How governments and regulators can support sustainable AI-driven consumer markets.

6. Conclusion

Recap the main findings.
Emphasize the importance of combining emotion-aware AI with neuro-marketing to foster long-term sustainable consumer behavior.
Suggest future research directions (e.g., cross-cultural studies, longitudinal impact of green AI campaigns).

7. References

Include at least 2–3 scholarly sources (AI in marketi

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