Persuasive Design
AbstrAct Persuasive design (PD) is concerned with the use of computing technology for persuasive purposes. It thereby captures a comprehensive and important trend in CMC, human-computer interaction, and software development in general. This chapter describes the basic concepts of PD as well as its development from its inception in the late 90s until now. So far, rhetoric has played a modest role in the field. However, it is shown that rhetoric offers a major step forward in consolidating PD as a discipline. The concepts of PD in many respects have a theoretical basis in and are better understood with reference to rhetoric; a number of practical guidelines for PD can and should be developed on the basis of rhetoric; and 'epistemic rhetoric' offers a sound epistemology for PD, which is at the moment lacking. Arguably, a rhetorical turn is required for coming to grips with the problem of defining PD and placing it properly as a special case of CMC, namely computer mediated persuasion.
The Neural Persuasion Model: Aligning Neural Readiness, Perceived Need, and Intervention Strategies
An increasing body of information is being assembled to understand how persuasive technology can be applied to develop successful persuasive health systems. Both technology and human issues contribute to reduced success of some persuasive systems. Neuroscience research has opened the door to improved understanding of how humans process information during attitude formation, attitude change, and during persuasion attempts. This article presents the Neural Persuasion Model, which delves more deeply into the human component of persuasion. The model draws on current neuroscience research and theories of neural readiness and neural organization to suggest ways in which understanding the neural activity of the brain might close the gap between persuasive technology design and behavioral outcomes, particularly for addiction recovery and other circumstances where neural disorder exists.
E-Collaborative Knowledge Construction: Learning from Computer-Supported and Virtual Environments
E-Collaborative Knowledge Construction: Learning from Computer-Supported and Virtual Environments explores the construction of beneficial e-collaborative knowledge environments from four vital perspectives: educational, psychological, organizational, and technical. It offers several scenarios where the implementation of e-collaborative knowledge construction is necessary and then not only presents methods for facilitating e-collaborative knowledge construction, but also provides methods for assessing its results. This exciting new publication is a must-have for academics, researchers, and professionals who dare to discover new innovations!