AICLJul 29, 2016

Personalized Emphasis Framing for Persuasive Message Generation

arXiv:1607.08898v130 citations
Originality Incremental advance
AI Analysis

This work addresses the challenge of enhancing message appeal for different users, though it appears incremental as it builds on existing framing and personalization concepts.

The paper tackles the problem of tailoring persuasive messages to individuals by modeling content selection based on personal traits like personality and values, and demonstrates its application in automated personalized content generation.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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