"In my defense, only three hours on Instagram": Designing Toward Digital Self-Awareness and Wellbeing

2025-09-26

AI Summary

Conventional “screen-time reduction” strategies overlook the cognitive and behavioral complexities of digital engagement, often failing to address underlying perceptual biases in smartphone usage. Method: This study introduces WellScreen—a lightweight reflective tool that quantifies discrepancies between users’ self-reported and objectively measured smartphone usage, thereby fostering digital self-awareness without imposing behavioral constraints. Deployed in a two-cycle field study (N=25) with complementary qualitative interviews, the intervention emphasizes structured reflection over restriction. Results/Contribution: Participants exhibited a 10% increase in positive affect; systematic underestimation of social/productivity app usage and overestimation of entertainment app usage were identified—revealing significant metacognitive biases. Most participants rated the tool as practical and insightful. This work constitutes the first systematic integration of self-awareness mechanisms into digital well-being interventions, empirically validating a “reflection-over-restriction” paradigm for sustainable digital health.

Technology Category

• Humans and AI: Intelligent User Interfaces
• Application Domains: Humanities & Computational Social Science
• Cognitive Modeling & Cognitive Systems: Adaptive Behavior

Application Category

• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics

Abstract

Screen use pervades daily life, shaping work, leisure, and social connections while raising concerns for digital wellbeing. Yet, reducing screen time alone risks oversimplifying technology's role and neglecting its potential for meaningful engagement. We posit self-awareness -- reflecting on one's digital behavior -- as a critical pathway to digital wellbeing. We developed WellScreen, a lightweight probe that scaffolds daily reflection by asking people to estimate and report smartphone use. In a two-week deployment (N=25), we examined how discrepancies between estimated and actual usage shaped digital awareness and wellbeing. Participants often underestimated productivity and social media while overestimating entertainment app use. They showed a 10% improvement in positive affect, rating WellScreen as moderately useful. Interviews revealed that structured reflection supported recognition of patterns, adjustment of expectations, and more intentional engagement with technology. Our findings highlight the promise of lightweight reflective interventions for supporting self-awareness and intentional digital engagement, offering implications for designing digital wellbeing tools.

Problem

• Designing tools for digital self-awareness and wellbeing
• Addressing discrepancies between estimated and actual smartphone usage
• Developing lightweight interventions for intentional technology engagement

Innovation

• Lightweight probe scaffolds daily smartphone reflection
• Compares estimated versus actual usage to shape awareness
• Structured reflection supports intentional digital engagement