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论文推荐 | 使用可穿戴相机和计算机视觉评估不断变化场景下的个人屏幕暴露

北京城市实验室BCL  · 公众号  ·  · 2024-06-21 14:00

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本期为大家推荐的内容为论文《 Assessing Personal Screen Exposure with Ever-Changing Contexts Using Wearable Cameras and Computer Vision 》( 使用可穿戴相机和计算机视觉评估不断变化场景下的个人屏幕暴露 ),发表 Building and Environment 期刊,欢迎大家学习与交流。


电子屏幕在日常生活中无处不在,并支持不同场景下的日常活动。在现代社会中,适度的屏幕使用对个人的身心健康至关重要,而实证研究已经验证了通过改善微观环境质量来改变心理和行为选择的潜力。假设不断变化的环境可能会影响人们的屏幕行为,本文探讨了如何在这些微环境中进行设计干预,以促进更健康和更平衡的屏幕使用。要实现这一点,最基本的一步是理解人们如何在不同的环境中使用屏幕,包括自由生活场景中的室内和室外空间,但目前的文献提供了较为有限的方法来精确地测度屏幕行为和环境。为了填补这一研究空白,本研究提出了一种使用可穿戴相机和计算机视觉技术的自动化方法,以量化收集到的生活日志图像中的个人屏幕暴露和相关的日常环境(N = 30,186)。“室内”和“办公桌”被发现与屏幕行为的发生正相关。相反,“绿色”、“人群”、“旅行”和“食物”与屏幕暴露呈现出强烈的负相关关系。这项研究提供了一种客观、自动化测量屏幕暴露的方法,与传统方法相比,提高了效率和可靠性。此外,它建立了一个可复制的框架,以应用于更广泛的数据集和未来研究,并为建筑和城市设计领域塑造更健康和更平衡的个人屏幕使用提供了重要信息。




论文相关

题目: Assessing Personal Screen Exposure with Ever-Changing Contexts Using Wearable Cameras and Computer Vision

使用可穿戴相机和计算机视觉评估不断变化场景下的个人屏幕暴露

作者:

Nanxi Su, Zhaoxi Zhang, Jingjia Chen, Wenyue Li and Ying Long *


发表刊物:

Building and Environment

DOI:

https://doi.org/10.1016/j.buildenv.2024.111720
URL: https://www.sciencedirect.com/science/article/pii/S0360132324005626#fig3


摘要 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.



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