Related Experiment Video
Updated: Jun 7, 2025

Measuring Engagement of Spectators of Social Digital Games
Published on: July 3, 2021
Towards the Science of Engagement with Digital Interventions.
Inbal Nahum-Shani1, Carolyn Yoon2
1Institute for Social Research, University of Michigan.
Digital health interventions show promise, but low participant engagement hinders effectiveness. This study proposes viewing engagement as a dynamic process, not a fixed state, to improve digital health strategies.
Area of Science:
- Digital Health
- Behavioral Science
- Human-Computer Interaction
Background:
- Digital technologies (mobile devices, wearables) are increasingly used for health behavior interventions.
- Suboptimal participant engagement is a major barrier to the effectiveness of digital health interventions.
- Existing research on increasing engagement faces limitations in scientific and practical utility.
Purpose of the Study:
- To identify limitations in current research on digital intervention engagement.
- To propose a new conceptualization of engagement to advance the science of digital health interventions.
- To enhance the rigor and transparency in measuring and reporting engagement.
Main Methods:
- Synthesis of the current body of evidence on digital intervention engagement.
- Conceptual analysis of participant engagement within digital health contexts.
- Proposal of a process-oriented framework for understanding engagement.
Main Results:
- Current evidence on digital intervention engagement is limited.
- A conceptual shift is needed to view digital interventions as collections of stimuli and tasks.
- Engagement should be understood as a dynamic process, not a static state or trait.
Conclusions:
- Conceptualizing engagement as a process enhances scientific rigor and transparency.
- This approach facilitates better measurement, reporting, and interpretation of engagement.
- Advancing the science of engagement is crucial for developing effective digital health strategies.
More Related Videos
13:57Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
Published on: July 1, 2015
08:53Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Related Concept Videos
The Scientific Method
Social Proof