Personalized Emphasis Framing for Persuasive Message Generation
July 29, 2016 Β· Declared Dead Β· π Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Tao Ding, Shimei Pan
arXiv ID
1607.08898
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CL
Citations
23
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
4 months ago
Abstract
In this paper, we present a study on personalized emphasis framing which can be used to tailor the content of a message to enhance its appeal to different individuals. With this framework, we directly model content selection decisions based on a set of psychologically-motivated domain-independent personal traits including personality (e.g., extraversion and conscientiousness) and basic human values (e.g., self-transcendence and hedonism). We also demonstrate how the analysis results can be used in automated personalized content selection for persuasive message generation.
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