English

Personalized Emphasis Framing for Persuasive Message Generation

Artificial Intelligence 2016-08-01 v1 Computation and Language

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.

Cite

@article{arxiv.1607.08898,
  title  = {Personalized Emphasis Framing for Persuasive Message Generation},
  author = {Tao Ding and Shimei Pan},
  journal= {arXiv preprint arXiv:1607.08898},
  year   = {2016}
}
R2 v1 2026-06-22T15:07:59.348Z