Designing Dynamic and Personalized Nudges
Šandor Dalecke, Randi Karlsen
Abstract
Nudging is about influencing people to make decisions that are beneficial to society and individuals. We are in particular concerned with using nudges to cause a behavioral change for persons, where healthier or environmentally friendlier behavior may be the goal. As people make more and more decisions in a digital context, digital nudging has steadily become more relevant. With today's technology, it is feasible to dynamically generate highly personalized nudges, using information on the person receiving the nudge, such as their intention and the situation they are in. This paper presents a new nudge model, designed with personalization in mind. We propose to use personal and situational data to generate the most suitable nudge designed from nudge components. The presented nudges should be transparent, helpful and effective to the user.