Purpose

By considering the challenges of Industry 5.0, the purpose of this study is to analyze the role of heuristic factors in the technical qualities and emotions of Millennials and Generation Z (Gen Z) to assess their acceptance of the use of artificial intelligence (AI) devices such as robots. For this purpose, this paper uses the innovative AI device use acceptance (AIDUA) framework. This research evaluates the implications of human–machine interactions for the usage of robots and AI in daily life.

Design/methodology/approach

The proposed AIDUA model is tested using data collected from Millennials and Gen Z. First, a principal components analysis technique is used to validate each measure. Second, a multiple regression analysis using IBM SPSS 26.0 is conducted.

Findings

The results of this study suggest that human–machine interaction is a part of a complex process in which there are different elements determining individuals’ acceptance of the use of AI devices during daily life. This paper outlines both the theoretical and practical implications. This study enriches the AIDUA model by connoting it with features and emotions belonging to the younger generation. Additionally, this research offers technology companies suggestions for addressing future efforts on technical performance and on the alignments of the expectations of young people in Society 5.0.

Originality/value

First, the originality of this paper lies in highlighting the binary role of emotions in triggering the use of AI devices and robots. Second, the focus on Millennials and Gen Z offers a new lens for the interpretation of longitudinal phenomena in the adoption of AI. Finally, the findings of this paper contribute to the development of a new perspective regarding a “heartly collaborative” approach in Society 5.0.

中文翻译：

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数字人文主义和人工智能：情感在 5.0 社会中超越人机交互的作用

目的

通过考虑工业 5.0 的挑战，本研究的目的是分析启发式因素在千禧一代和 Z 世代 (Gen Z) 的技术素质和情感中的作用，以评估他们对使用人工智能 (AI) 设备的接受程度比如机器人。为此，本文使用创新的 AI 设备使用接受 (AIDUA) 框架。这项研究评估了人机交互对机器人和人工智能在日常生活中使用的影响。

设计/方法/途径

拟议的 AIDUA 模型使用从千禧一代和 Z 世代收集的数据进行测试。首先，使用主成分分析技术来验证每项措施。其次，使用 IBM SPSS 26.0 进行多元回归分析。

发现

这项研究的结果表明，人机交互是一个复杂过程的一部分，在这个复杂过程中，有不同的因素决定了个人在日常生活中对使用人工智能设备的接受程度。本文概述了理论和实践意义。本研究通过赋予年轻一代的特征和情感来丰富 AIDUA 模型。此外，这项研究还为技术公司提供了解决未来技术性能和社会 5.0 中年轻人期望一致性方面的工作的建议。

原创性/价值

首先，本文的独创性在于强调情绪在触发 AI 设备和机器人的使用中的二元作用。其次，对千禧一代和 Z 世代的关注为解释 AI 采用过程中的纵向现象提供了一个新视角。最后，本文的发现有助于形成关于社会 5.0 中“全心协作”方法的新视角。