Saßmannshausen Till, Burggräf Peter, Wagner Johannes, Hassenzahl Marc, Heupel Thomas, Steinberg Fabian
International Production Engineering and Management, University of Siegen, Siegen, Germany.
Ubiquitous Design, University of Siegen, Siegen, Germany.
Ergonomics. 2021 Oct;64(10):1333-1350. doi: 10.1080/00140139.2021.1909755. Epub 2021 May 3.
Industry 4.0, big data, predictive analytics, and robotics are leading to a paradigm shift on the shop floor of industrial production. However, complex, cognitive tasks are also subject of change, due to the development of artificial intelligence (AI). Smart assistants are finding their way into the world of knowledge work and require cooperation with humans. Here, trust is an essential factor that determines the success of human-AI cooperation. Within this article, an analysis within production management identifies possible antecedent variables on trust in AI and evaluates these due to interaction scenarios with AI. The results of this research are five antecedents for human trust in AI within production management. From these results, preliminary design guidelines are derived for a socially sustainable human-AI interaction in future production management systems. In the future, artificial intelligence will assist cognitive tasks in production management. In order to make good decisions, humans trust in AI has to be well calibrated. For trustful human-AI interactions, it is beneficial that humans subjectively perceive AI as capable and comprehensible and that they themselves are digitally competent.
工业4.0、大数据、预测分析和机器人技术正在推动工业生产车间的范式转变。然而，由于人工智能（AI）的发展，复杂的认知任务也在发生变化。智能助手正在进入知识工作领域，并需要与人类合作。在此，信任是决定人机合作成功的关键因素。本文通过生产管理分析，确定了对人工智能信任的可能先行变量，并根据与人工智能的交互场景对其进行评估。本研究的结果是生产管理中人类对人工智能信任的五个先行因素。基于这些结果，得出了未来生产管理系统中社会可持续人机交互的初步设计指南。未来，人工智能将协助生产管理中的认知任务。为了做出正确的决策，人类对人工智能的信任必须得到良好校准。对于信任的人机交互，人类主观上认为人工智能有能力且易于理解，并且他们自身具备数字能力，这是有益的。
