Society's Attitudes Towards Human Augmentation and Performance Enhancement Technologies (SHAPE) Scale

IF 3.6 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Pub Date : 2023-09-27 DOI:10.1145/3610915
Steeven Villa, Jasmin Niess, Albrecht Schmidt, Robin Welsch
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Abstract

Human augmentation technologies (ATs) are a subset of ubiquitous on-body devices designed to improve cognitive, sensory, and motor capacities. Although there is a large corpus of knowledge concerning ATs, less is known about societal attitudes towards them and how they shift over time. To that end, we developed The Society's Attitudes Towards Human Augmentation and Performance Enhancement Technologies (SHAPE) Scale, which measures how users of ATs are perceived. To develop the scale, we first created a list of possible scale items based on past work on how people respond to new technologies. The items were then reviewed by experts. Next, we performed exploratory factor analysis to reduce the scale to its final length of thirteen items. Subsequently, we confirmed test-retest validity of our instrument, as well as its construct validity. The SHAPE scale enables researchers and practitioners to understand elements contributing to attitudes toward augmentation technology users. The SHAPE scale assists designers of ATs in designing artifacts that will be more universally accepted.
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社会对人体增强和性能增强技术的态度(SHAPE)量表
人体增强技术(ATs)是一种普遍存在的身体设备,旨在提高认知、感觉和运动能力。尽管有大量关于人工智能的知识,但对社会对它们的态度以及它们如何随着时间的推移而变化所知甚少。为此,我们开发了社会对人体增强和性能增强技术的态度(SHAPE)量表,该量表衡量了对人工智能用户的看法。为了开发这个量表,我们首先根据过去关于人们对新技术的反应的研究创建了一个可能的量表项目列表。这些项目随后由专家进行审查。接下来,我们进行探索性因子分析,将量表缩减到13个项目的最终长度。随后,我们确认了我们的工具的重测效度,以及它的结构效度。SHAPE量表使研究人员和从业人员能够了解影响增强技术用户态度的因素。SHAPE量表帮助ATs的设计者设计出更被普遍接受的工件。
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来源期刊
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Computer Science-Computer Networks and Communications
CiteScore
9.10
自引率
0.00%
发文量
154
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