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

Title of the Paper

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

Paper Information

• Subject Area: Digital Nudging and Human-Computer Interaction (HCI)
• Keywords: Digital Nudging, Systematic Review, Choice Architecture, Personalization, Connectivity, Nudging Patterns, Digital Nudging Research

Research Background and Issues

• Issues and Challenges:
  • Digital nudging differs significantly from traditional nudging, such as the real-time data-driven personalization and the connectivity between user choice architectures.
  • Existing literature lacks a systematic review of the overall state of research and gaps in digital nudging.
• Significance:
  • The widespread adoption of digital technologies gives digital nudging unprecedented potential to influence user behavior, while also introducing design complexities and uncertainties that may lead to unintended social impacts.
• Research Motivation and Related Work:
  • Literature reviews indicate that the effectiveness, categorization, and psychological foundations of digital nudging have been preliminarily studied, but personalization and connectivity remain underexplored areas.
  • The volume of literature has grown significantly, highlighting the urgent need for research in this field.

Solution

• Methods and Solutions:
  • A systematic literature review was conducted to analyze empirical studies on digital nudging.
  • A classification mechanism was used to categorize nudging designs into 10 nudging patterns and to provide detailed coding of the personalization and connectivity of choice architectures.
• Innovations:
  • This study is the first to comprehensively and systematically review the design patterns, application domains, evaluation methods, and research findings of digital nudging, while proposing high-level research questions.
• Implementation Steps:
  • Literature Collection: 638 papers containing the keyword "digital nudging" were collected from seven databases.
  • Screening and Evaluation: After multiple rounds of screening, 73 papers meeting the criteria were retained.
  • Analysis and Classification: Detailed data coding and analysis were conducted based on nudging patterns, application domains, types of behavior and attitude changes, and evaluation designs.

Research Findings

• Specific Findings:
  • The literature review covered 73 peer-reviewed papers involving 109 studies, evaluating a total of 231 digital nudging cases.
  • Digital nudging design patterns were categorized into 10 types, including Social Nudging, Reinforce Nudging, Disclosure, Friction, among others.
  • Nudging primarily focused on areas such as privacy/security, e-commerce/marketing, and social media, but lacked in-depth exploration of health and policy domains.
  • Evaluation methods were predominantly online experiments, with fewer field experiments; most studies were based on samples from Europe and North America.
• Advantages:
  • The study comprehensively revealed the distribution of digital nudging designs and application domains, covering different patterns and evaluation methods, addressing gaps in previous literature.
• Experimental or Evaluation Results:
  • It was found that most digital nudges did not fully utilize the connectivity and personalization of choice architectures.
  • Few studies explored the long-term effects or the role of nudges in reducing behaviors.
• Limitations and Future Directions:
  • Limitations include insufficient geographic sample diversity and limited research on certain patterns and domains.
  • Nine unexplored research questions were proposed, such as the cultural moderation effects of digital nudging, ethical boundaries of personalization, and interaction effects of combined nudges.