2015
DOI: 10.1145/2792989.2792993
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Personalized presentation builder for persuasive communication

Abstract: Presentations are effective ways of communicating information, especially in the field of education, but they might not be equally or fully beneficial and persuasive to all users. Each member of the audience might be interested in a particular topic, come from a different background and profession, and have his or her own personality traits. In this conceptual paper, we first describe our persuasive personalization model; the Individualization Pyramid based on Yale Attitude Change Approach. The model… Show more

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Cited by 3 publications
(6 citation statements)
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“…The content main topic needs to be identified before an expert or a supporting opinion can be assigned to the personalized content. As discussed in our previous paper [4], a content assembler collects the contents by user profiling and applying author driven content rules. The content rules act like the logic to guide the recommender system with collecting, analyzing, and personalizing the content.…”
Section: Identifying Individualization Topicmentioning
confidence: 99%
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“…The content main topic needs to be identified before an expert or a supporting opinion can be assigned to the personalized content. As discussed in our previous paper [4], a content assembler collects the contents by user profiling and applying author driven content rules. The content rules act like the logic to guide the recommender system with collecting, analyzing, and personalizing the content.…”
Section: Identifying Individualization Topicmentioning
confidence: 99%
“…Acceptance: The audience must accept the argument in the presentation. 4. Retention: The audience must remember the argument later.…”
Section: Introductionmentioning
confidence: 99%
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“…The corresponding software framework consists of a pipeline that processes the author and end user information as input and generates the persuasive content. This is done by using information from the end users' social network accounts and, through a series of author (persuader)-provided rules [17].…”
Section: Proposed Systemmentioning
confidence: 99%