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International Conference on Intelligent Virtual Agents

IVA 2014: Intelligent Virtual Agents pp 178–181Cite as

Recommendations for Designing Maximally Effective and Persuasive Health Agents

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8637))

Abstract

HCI designers have made significant advancements in the development of health agents. Although these developments are often technologically impressive, social scientific research provides some contraindications. Here, we review relevant social scientific research on tailoring, customization, agency, and realism that provides guidelines on how to design health agents and avatars to maximize persuasive outcomes in health contexts.

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Author information

Authors and Affiliations

  1. The Ohio State University, Columbus, OH, USA

    Jesse Fox

  2. University of Georgia, Athens, GA, USA

    Sun Joo (Grace) Ahn

Authors
  1. Jesse Fox
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  2. Sun Joo (Grace) Ahn
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Editor information

Editors and Affiliations

  1. College of Computer and Information Science, Northeastern University, 202 West Village H, 360 Huntington Avenue, 02115, Boston, MA, USA

    Timothy Bickmore  & Stacy Marsella  & 

  2. Department of Computer Science, Worcester Polytechnic Institute, 01609, Worcester, MA, USA

    Candace Sidner

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© 2014 Springer International Publishing Switzerland

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Fox, J., Ahn, S.J.(. (2014). Recommendations for Designing Maximally Effective and Persuasive Health Agents. In: Bickmore, T., Marsella, S., Sidner, C. (eds) Intelligent Virtual Agents. IVA 2014. Lecture Notes in Computer Science(), vol 8637. Springer, Cham. https://doi.org/10.1007/978-3-319-09767-1_21

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  • DOI: https://doi.org/10.1007/978-3-319-09767-1_21

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09766-4

  • Online ISBN: 978-3-319-09767-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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