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MoodSmith: Enabling Mood-Consistent Multimedia for AI-Generated Advocacy Campaigns

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arxiv 2403.12356 v1 pith:Y2MRQC2H submitted 2024-03-19 cs.HC

classification cs.HC
keywords moodsmithachieveacrossadvocacydimensionsmoodvideosaudio
verification ladder T0 review T1 audit T2 compute T3 formal
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Emotion is vital to information and message processing, playing a key role in attitude formation. Consequently, creating a mood that evokes an emotional response is essential to any compelling piece of outreach communication. Many nonprofits and charities, despite having established messages, face challenges in creating advocacy campaign videos for social media. It requires significant creative and cognitive efforts to ensure that videos achieve the desired mood across multiple dimensions: script, visuals, and audio. We introduce MoodSmith, an AI-powered system that helps users explore mood possibilities for their message and create advocacy campaigns that are mood-consistent across dimensions. To achieve this, MoodSmith uses emotive language and plotlines for scripts, artistic style and color palette for visuals, and positivity and energy for audio. Our studies show that MoodSmith can effectively achieve a variety of moods, and the produced videos are consistent across media dimensions.

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  1. Sense it with your eyes: Sensation Generation and Understanding for Advertisements

    cs.CV 2026-07 conditional novelty 6.0 of 10

    A new 670-image benchmark and a fine-tuned LLM metric (κ≈0.8 with humans) for sensation evocation in ads, plus an agent-based generator (SAGA) that improves message alignment and persuasion.

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