Skip to main navigation Skip to search Skip to main content

Assessing personal screen exposure with ever-changing contexts using wearable cameras and computer vision

  • Nanxi Su
  • , Zhaoxi Zhang
  • , Jingjia Chen
  • , Wenyue Li
  • , Ying Long*
  • *Corresponding author for this work
  • Tsinghua University

Research output: Contribution to journalArticlepeer-review

Abstract

Electronic screens are ubiquitous in daily life and support everyday activities in different contexts. Moderate screen use is crucial to individuals' physical and mental health in modern society, while empirical research has verified the potential of altering psychology and behavioral choices by improving micro-environmental qualities. With the hypothesis that the ever-changing contexts may influence people's screen behavior, this article explores how design interventions in these micro-environments can promote healthier and more balanced screen use. To achieve this, the fundamental step is understanding how people utilize screens in diverse contexts, including indoor and outdoor spaces in free-living scenarios. Despite its importance, current literature offers limited methodologies for precisely examining screen behaviors and their contexts simultaneously. To address this gap, this study proposes an automated method with wearable cameras and Computer Vision technologies to quantify screen exposure and related daily contexts extracted from the collected life-logging images (N = 30,186). “Indoor” and “desk” are found to be positively associated with the occurrence of screen behavior. Conversely, “greenery,” “crowd,” “travel,” and “food” exhibit robust and negative relationships with screen exposure. This study offers a new approach to objectively and automatically measure screen exposure, enhancing efficiency and reliability over conventional methods. Moreover, it establishes a replicable framework for future research on broader datasets and informs the fields of architectural and urban design on molding healthier and more balanced screen use among individuals.

Original languageEnglish
Article number111720
JournalBuilding and Environment
Volume261
DOIs
StatePublished - 1 Aug 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Computer vision
  • Digital screens
  • Free-living scenarios
  • Narrative clip 2
  • Screen behaviors

Fingerprint

Dive into the research topics of 'Assessing personal screen exposure with ever-changing contexts using wearable cameras and computer vision'. Together they form a unique fingerprint.

Cite this