Skip to main content
CenXiv.org
This website is in trial operation, support us!
We gratefully acknowledge support from all contributors.
Contribute
Donate
cenxiv logo > econ > arXiv:2407.01057v1

Help | Advanced Search

Economics > General Economics

arXiv:2407.01057v1 (econ)
[Submitted on 1 Jul 2024 ]

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

Title: 基于人工智能的聊天机器人:实现可持续发展目标的有效沟通方式

Authors:Ennio Bilancini, Leonardo Boncinelli, Eugenio Vicario
Abstract: 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.
Abstract: 本文介绍了对两项预先注册的实验研究的分析,探讨了“动机访谈”和“指导风格”对讨论可持续发展目标的影响。 为了评估这些沟通方式在提高对可持续发展目标的认识和激发行动方面的效果,我们测量了参与者的参与程度,以及他们的自我报告兴趣和学习成果。 我们的结果表明,“动机访谈”在参与度和兴趣方面比“指导风格”更有效,而在学习方面没有显著差异。
Subjects: General Economics (econ.GN)
Cite as: arXiv:2407.01057 [econ.GN]
  (or arXiv:2407.01057v1 [econ.GN] for this version)
  https://doi.org/10.48550/arXiv.2407.01057
arXiv-issued DOI via DataCite

Submission history

From: Eugenio Vicario [view email]
[v1] Mon, 1 Jul 2024 08:09:35 UTC (747 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
  • HTML (experimental)
  • TeX Source
license icon view license
Current browse context:
econ.GN
< prev   |   next >
new | recent | 2024-07
Change to browse by:
econ
q-fin
q-fin.EC

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
a export BibTeX citation Loading...

BibTeX formatted citation

×
Data provided by:

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
IArxiv Recommender (What is IArxiv?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
  • About
  • Help
  • contact arXivClick here to contact arXiv Contact
  • subscribe to arXiv mailingsClick here to subscribe Subscribe
  • Copyright
  • Privacy Policy
  • Web Accessibility Assistance
  • arXiv Operational Status
    Get status notifications via email or slack

京ICP备2025123034号