Ethical and Social Implications in the Use of Augmented Reality for Sustainability

IF 3.4 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Publications Pub Date : 2025-11-04 DOI:10.1201/9781003584438-15

Pushpa Pathak, C. Jayakumari

引用次数: 0

Abstract

Augmented reality (AR) offers innovative solutions for promoting sustainability by raising awareness and encouraging eco-friendly practices. However, its use presents ethical challenges, particularly concerning data privacy, as AR systems often collect sensitive user information that could be misused. The environmental footprint of AR technology, including energy use and electronic waste, also complicates its sustainability benefits. Socially, AR has the potential to increase environmental education and community engagement, yet it risks deepening the digital divide by excluding those without access to advanced technology. Additionally, AR can lead to misinformation or biased representations of sustainability, influencing user behavior without transparency. In the workplace, while AR may reduce waste and improve efficiency, it could also disrupt jobs and labor markets. To ensure AR supports sustainability equitably, addressing these ethical and social implications is essential for responsible development and adoption.

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使用增强现实技术促进可持续发展的伦理和社会影响

增强现实（AR）通过提高意识和鼓励环保实践，为促进可持续发展提供了创新的解决方案。然而，它的使用带来了道德挑战，特别是在数据隐私方面，因为AR系统经常收集可能被滥用的敏感用户信息。增强现实技术的环境足迹，包括能源使用和电子废物，也使其可持续性效益复杂化。从社会角度看，增强现实技术有可能加强环境教育和社区参与，但它有可能将无法获得先进技术的人排除在外，从而加深数字鸿沟。此外，增强现实可能导致对可持续性的错误信息或偏见陈述，在缺乏透明度的情况下影响用户行为。在工作场所，虽然增强现实可以减少浪费和提高效率，但它也可能扰乱就业和劳动力市场。为了确保AR公平地支持可持续性，解决这些道德和社会影响对于负责任的开发和采用至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Publications Social Sciences-Library and Information Sciences

CiteScore

6.50

自引率

1.90%

发文量

审稿时长

11 weeks

期刊介绍： The scope of Publications includes: Theory and practice of scholarly communication Digitisation and innovations in scholarly publishing technologies Metadata, infrastructure, and linking the scholarly record Publishing policies and editorial/peer-review workflows Financial models for scholarly publishing Copyright, licensing and legal issues in publishing Research integrity and publication ethics Issues and best practices in the publication of non-traditional research outputs (e.g., data, software/code, protocols, data management plans, grant proposals, etc.) Issues in the transition to open access and open science Inclusion and participation of traditionally excluded actors Language issues in publication processes and products Traditional and alternative models of peer review Traditional and alternative means of assessment and evaluation of research and its impact, including bibliometrics and scientometrics The place of research libraries, scholarly societies, funders and others in scholarly communication.