Good Intentions, Bad Inventions: How Employees Judge Pervasive Technologies in the Workplace

IF 1.6 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Pervasive Computing Pub Date : 2022-10-12 DOI:10.1109/MPRV.2022.3217408

Marios Constantinides, D. Quercia

引用次数: 11

Abstract

Pervasive technologies combined with powerful AI have been recently introduced to enhance work productivity. Yet, some of these technologies are judged to be invasive. To identify which ones, we should understand how employees tend to judge these technologies. We considered 16 technologies that track productivity, and conducted a study in which 131 crowdworkers judged these scenarios. We found that a technology was judged to be right depending on the following three aspects of increasing importance. That is, whether the technology: 1) was currently supported by existing tools; 2) did not interfere with work or was fit for purpose; and 3) did not cause any harm or did not infringe on any individual rights. Ubicomp research currently focuses on how to design better technologies by making them more accurate, or by increasingly blending them into the background. It might be time to design better ubiquitous technologies by unpacking AI ethics as well.

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好的意图，坏的发明:员工如何判断工作场所中普遍存在的技术

最近引入了与强大的人工智能相结合的普及技术，以提高工作效率。然而，其中一些技术被认为是侵入性的。为了识别哪些技术，我们应该了解员工如何判断这些技术。我们考虑了16种跟踪生产力的技术，并进行了一项研究，131名众包工作者对这些场景进行了判断。我们发现，一项技术是否正确取决于以下三个方面的重要性。也就是说，该技术是否：1）目前得到现有工具的支持；2）不干扰工作或符合目的；以及3）没有造成任何伤害或没有侵犯任何个人权利。Ubicomp目前的研究重点是如何设计更好的技术，使其更准确，或者越来越多地将其融入背景中。也许是时候通过解开人工智能伦理来设计更好的无处不在的技术了。

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

IEEE Pervasive Computing 工程技术-电信学

CiteScore

4.10

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： IEEE Pervasive Computing explores the role of computing in the physical world–as characterized by visions such as the Internet of Things and Ubiquitous Computing. Designed for researchers, practitioners, and educators, this publication acts as a catalyst for realizing the ideas described by Mark Weiser in 1988. The essence of this vision is the creation of environments saturated with sensing, computing, and wireless communication that gracefully support the needs of individuals and society. Many key building blocks for this vision are now viable commercial technologies: wearable and handheld computers, wireless networking, location sensing, Internet of Things platforms, and so on. However, the vision continues to present deep challenges for experts in areas such as hardware design, sensor networks, mobile systems, human-computer interaction, industrial design, machine learning, data science, and societal issues including privacy and ethics. Through special issues, the magazine explores applications in areas such as assisted living, automotive systems, cognitive assistance, hardware innovations, ICT4D, manufacturing, retail, smart cities, and sustainability. In addition, the magazine accepts peer-reviewed papers of wide interest under a general call, and also features regular columns on hot topics and interviews with luminaries in the field.