Public perceptions and acceptance of artificial intelligence humanoid bots/robots: Evidence from Turkey

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-08-22 DOI:10.1016/j.techfore.2024.123678
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Abstract

The development of artificial intelligence (AI) humanoid bots/robots (AIHB/R), which integrate AI with robot technology to emulate human traits, has swiftly evolved and found applications in several sectors like healthcare, education, home support, industrial production, and entertainment. AIHB/R's decision-making process has become more complex due to incorporating AI, a fascinating element affecting public perceptions and attitudes towards these robots. This paper investigates this topic in the Turkish context based on data collected from 485 adults. A general finding is that participants have positive perceptions and attitudes towards (AIHB/R) and some concerns. We found significant gender differences between male and female participants regarding the use of AIHB/R in care and treatment services (CTS), administration and justice (AJ), and in the future (FC). No gender difference was found when using religious practice (RP). The educational level statistically correlated significantly with the total scale scores and the four sub-domains. CTS has a positive and moderately significant effect on accepting AIHB/R applications. The R2 value for this domain showed the highest explanatory power of the model with 0.829.

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公众对人工智能仿人机器人/机器人的看法和接受程度:来自土耳其的证据
人工智能(AI)仿人机器人(AIHB/R)将人工智能与机器人技术相结合,模仿人类的特征,其发展十分迅速,在医疗保健、教育、家庭支持、工业生产和娱乐等多个领域都有应用。由于融入了人工智能,AIHB/R 的决策过程变得更加复杂,这是影响公众对这些机器人的看法和态度的一个迷人因素。本文根据从 485 名成年人那里收集到的数据,对土耳其的这一主题进行了调查。总体结果表明,参与者对(AIHB/R)持积极的看法和态度,同时也有一些担忧。我们发现,在护理和治疗服务(CTS)、行政和司法(AJ)以及未来(FC)中使用 AIHB/R 时,男性和女性参与者之间存在明显的性别差异。在使用宗教实践(RP)方面没有发现性别差异。教育程度与量表总分和四个分域之间存在显著的统计相关性。CTS 对接受 AIHB/R 申请有积极的、中等程度的影响。该领域的 R2 值为 0.829,是模型中解释力最高的领域。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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