AI-powered Chatbots: Effective Communication Styles for Sustainable Development Goals

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Date

1 juillet 2024

Type de document
Périmètre
Identifiant
  • 2407.01057
Collection

arXiv

Organisation

Cornell University




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Ennio Bilancini et al., « AI-powered Chatbots: Effective Communication Styles for Sustainable Development Goals », arXiv - économie


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This paper presents an analysis of two pre-registered experimental studies examining the impact of `Motivational Interviewing' and `Directing Style' on discussions about Sustainable Development Goals. To evaluate the effectiveness of these communication styles in enhancing awareness and motivating action toward the Sustainable Development Goals, we measured the engagement levels of participants, along with their self-reported interest and learning outcomes. Our results indicate that `Motivational Interviewing' is more effective than `Directing Style' for engagement and interest, while no appreciable difference is found on learning.

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