MoodSmith: Enabling Mood-Consistent Multimedia for AI-Generated Advocacy Campaigns
arxiv(2024)
摘要
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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