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Persuasive Technology in Games: A Brief Review and Reappraisal
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Umair Rehman, Wilfrid Laurier University
  • Muhammad Umair Shah, University of Waterloo
  • Amir Zaib Abbasi, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad
  • Farkhund Iqbal, Zayed University
  • Ali Arsalan, Amazon.com, Inc.
  • Muhammad Umair Javaid, Lahore Garrison University
Document Type
Conference Proceeding
Publication Date
1-1-2021
Abstract

Persuasive technology is a new field of research that has attracted considerable attention from game designers since there is a growing interest in games promoting positive behavioral changes. Persuasive games have been exploited to tremendous effect with applications ranging from mobile healthcare, which persuade users to exercise more often and adopt a healthy lifestyle, to government programs encouraging civic engagement. Therefore, persuasive technologies have become an indispensable part of the modern game designer’s toolkit, and their importance is only set to grow with time. In this paper, we begin by reviewing the existing body of work in this field while also explaining the pros and cons of emerging design models and theoretical frameworks. We then uncover major pitfalls in the current work and suggest directions for future research. Hopefully, this article will prove instructive to game designers and leave them with a better understanding of the central concepts in the field of persuasive technology.

ISBN
9783030772765
Publisher
Springer International Publishing
Disciplines
Keywords
  • Persuasive design models,
  • Behavior change systems,
  • Persuasive games,
  • Persuasive technology
Scopus ID
85112148394
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-3-030-77277-2_8
Citation Information
Umair Rehman, Muhammad Umair Shah, Amir Zaib Abbasi, Farkhund Iqbal, et al.. "Persuasive Technology in Games: A Brief Review and Reappraisal" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12789 LNCS (2021) p. 99 - 109 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0302-9743" target="_blank">0302-9743</a>
Available at: http://works.bepress.com/farkhund-iqbal/181/