The Digital Landscape of Nudging: A Systematic Literature Review of Empirical Research on Digital Nudges

要旨

Research output related to digital nudging has increased ten-fold over the last five years. Nudging in the digital realm differs from its analog counterpart in important ways. For instance, online, choice architectures can be interconnected and personalized using real time data. In the face of this development, it is crucial to understand the current state of the literature and to map out possible research gaps. This paper addresses this issue and provides a systematic review of empirical studies where digital nudges have been evaluated. The systematic review covers 73 peer-reviewed papers containing 109 separate studies where 231 digital nudges have been evaluated. Our results lead to nine open research questions to be addressed in the future by the research community.

著者
Kristoffer Bergram
University of Neuchâtel, Neuchâtel, Switzerland
Marija Djokovic
University of Neuchâtel, Neuchâtel, Switzerland
Valéry Bezençon
University of Neuchâtel, Neuchâtel, Switzerland
Adrian Holzer
University of Neuchâtel, Neuchâtel, Switzerland
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517638

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Interaction Schemes and Patterns I

286–287
5 件の発表
2022-05-05 18:00:00
2022-05-05 19:15:00