Research & Publications
AI Psychology · Aesthetics · Consumer Behavior
Research Focus
My PhD-oriented research agenda centers on building an AI-psychometric framework that connects cognitive (Selphlyze), aesthetic (Aesthlyzer), and behavioral (Contlyze) layers to explain and predict digital consumer decisions using public, anonymized datasets.
Decoding the Aesthetic Mind: Aesthlyzer Working Paper
Nima Saraeian · Working Paper (Under Review) · 2025
This paper introduces Aesthlyzer, an AI-based psychometric framework that derives an Aesthetic Code (A-Code) to predict consumer response to multimodal advertising using public datasets...
Datasets: AVA (Aesthetics) · DEAM (Music Emotion)
Methods: CLIP/ViT embeddings · Two-tower ranking (cosine) · XGBoost (ablation)
- Aesthetic alignment improves NDCG@10 over baseline topic-only by +12–18%.
- Color harmony + rhythm are top-2 predictors.
Target Journal: Frontiers in Psychology (Computational Psychology)
Last updated: 2025-10-31
AI Enhanced Emotional Communication
Nima Saraeian · Working Paper · 2025
This working paper explores AI-enhanced methods for modeling and improving emotional communication in digital contexts, bridging affective computing and consumer psychology to inform design and marketing applications.
Datasets: IEMOCAP · GoEmotions
Methods: Multimodal embeddings (text/audio) · Contrastive fine-tuning
- Multimodal alignment improves emotion classification robustness under noisy inputs.
- Context-aware prompts reduce misclassification in ambiguous affective phrases.
Target Journal: IEEE Transactions on Affective Computing
Last updated: 2025-10-31