Researchers have introduced a new framework for understanding and generating sensory advertisements, aiming to enhance their persuasive impact. This work includes the creation of the Sensory Ad dataset and the development of SenseClass, a task designed to benchmark large language models (LLMs) and multimodal LLMs (MLLMs) on their ability to classify sensory cues in ads. Additionally, a novel evaluation metric called SenseScore has been proposed, which correlates well with human judgment, and a multi-agent framework named SAGA has been developed for generating sensory advertisements that improve message-image alignment and persuasion. AI
IMPACT Establishes a foundation for sensory-aware visual persuasion, potentially improving AI-driven advertising.
RANK_REASON Research paper introducing a new dataset, tasks, and framework for sensory advertisements. [lever_c_demoted from research: ic=1 ai=1.0]
- arXiv
- Aysan Aghazadeh
- Hugging Face
- LLMs
- MLLMs
- SAGA
- SenseClass
- Sense it with your eyes: Sensation Generation and Understanding for Advertisements
- SenseScore
- Sensory Ad dataset
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →