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DOI: 10.14569/IJACSA.2016.071155
PDF

Towards Analytical Modeling for Persuasive Design Choices in Mobile Apps

Author 1: Hamid Mukhtar

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 11, 2016.

  • Abstract and Keywords
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Abstract: Persuasive technology has emerged as a new field of research in the past decade with its applications in various domains including web-designing, human-computer interaction, healthcare systems, and social networks. Although persuasive technology has its roots in psychology and cognitive sciences, researchers from the computing disciplines are also increasingly interested in it. Unfortunately, the existing theories, models, and frameworks for persuasive system design fall short due to absence of systematic design processes mostly used in the computing domains as well as lack of support for appropriate post-analysis. This work provides some insight into such limitations and identifies the importance of analytical modeling for persuasion in mobile applications design. The authors illustrate, using a case study, that appropriate mathematical models can be applied together with user modeling to develop a persuasive system that will allow the designer to consider several design choices simultaneously.

Keywords: goal; intent; analytics; modeling; feedback

Hamid Mukhtar, “Towards Analytical Modeling for Persuasive Design Choices in Mobile Apps” International Journal of Advanced Computer Science and Applications(IJACSA), 7(11), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071155

@article{Mukhtar2016,
title = {Towards Analytical Modeling for Persuasive Design Choices in Mobile Apps},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.071155},
url = {http://dx.doi.org/10.14569/IJACSA.2016.071155},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {11},
author = {Hamid Mukhtar}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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