健康与快乐?环境辅助生活(AAL)中情绪识别与调节技术(ERR)的伦理调查。

IF 2.7 2区 哲学 Q1 ENGINEERING, MULTIDISCIPLINARY
Kris Vera Hartmann, Giovanni Rubeis, Nadia Primc
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引用次数: 0

摘要

环境辅助生活(AAL)是指跟踪需要护理的人的日常活动,以提高他们的自主性并尽量减少他们对援助的需求的技术。新技术的发展表明,人们正越来越努力地将自动情绪识别和调节(ERR)技术整合到 AAL 系统中。这些技术旨在通过不同的传感器识别情绪,并最终通过不同形式的干预来调节被定义为 "负面 "的情绪。虽然这些技术已经在其他领域得到应用,但 AAL 的突出特点是可以在用户的私人生活空间内实现不显眼的 24 小时监控,用户依靠该技术在日常活动中保持一定程度的独立性。这两种技术的结合代表了对潜在脆弱用户群体进行情感识别的一个新维度。我们的论文旨在为这两种技术的新颖结合提供伦理背景。我们讨论了构成ERR基础的不同情感概念,即基本情感理论(BET)和情感综合模型(CMA),并概述了AAL当前的技术发展。我们强调了在人工智能系统中的ERR背景下特别出现的四个伦理问题,即:(1) 对情绪的还原论观点,(2) 作为这些技术的基本假设的解决主义,(3) 用户及其情绪的隐私和自主性,(4) 机器学习技术将人类行为和情绪反应规范化和一般化的趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Healthy and Happy? An Ethical Investigation of Emotion Recognition and Regulation Technologies (ERR) within Ambient Assisted Living (AAL).

Healthy and Happy? An Ethical Investigation of Emotion Recognition and Regulation Technologies (ERR) within Ambient Assisted Living (AAL).

Ambient Assisted Living (AAL) refers to technologies that track daily activities of persons in need of care to enhance their autonomy and minimise their need for assistance. New technological developments show an increasing effort to integrate automated emotion recognition and regulation (ERR) into AAL systems. These technologies aim to recognise emotions via different sensors and, eventually, to regulate emotions defined as "negative" via different forms of intervention. Although these technologies are already implemented in other areas, AAL stands out by its tendency to enable an inconspicuous 24-hour surveillance in the private living space of users who rely on the technology to maintain a certain degree of independence in their daily activities. The combination of both technologies represents a new dimension of emotion recognition in a potentially vulnerable group of users. Our paper aims to provide an ethical contextualisation of the novel combination of both technologies. We discuss different concepts of emotions, namely Basic Emotion Theory (BET) and the Circumplex Model of Affect (CMA), that form the basis of ERR and provide an overview over the current technological developments in AAL. We highlight four ethical issues that specifically arise in the context of ERR in AAL systems, namely concerns regarding (1) the reductionist view of emotions, (2) solutionism as an underlying assumption of these technologies, (3) the privacy and autonomy of users and their emotions, (4) the tendency of machine learning techniques to normalise and generalise human behaviour and emotional reactions.

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来源期刊
Science and Engineering Ethics
Science and Engineering Ethics 综合性期刊-工程:综合
CiteScore
10.70
自引率
5.40%
发文量
54
审稿时长
>12 weeks
期刊介绍: Science and Engineering Ethics is an international multidisciplinary journal dedicated to exploring ethical issues associated with science and engineering, covering professional education, research and practice as well as the effects of technological innovations and research findings on society. While the focus of this journal is on science and engineering, contributions from a broad range of disciplines, including social sciences and humanities, are welcomed. Areas of interest include, but are not limited to, ethics of new and emerging technologies, research ethics, computer ethics, energy ethics, animals and human subjects ethics, ethics education in science and engineering, ethics in design, biomedical ethics, values in technology and innovation. We welcome contributions that deal with these issues from an international perspective, particularly from countries that are underrepresented in these discussions.
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