当前位置: X-MOL 学术Cognit. Tech. Work › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The best task allocation process is to decide on one’s own: effects of the allocation agent in human–robot interaction on perceived work characteristics and satisfaction
Cognition, Technology & Work ( IF 2.4 ) Pub Date : 2020-12-21 , DOI: 10.1007/s10111-020-00656-7
Alina Tausch , Annette Kluge

New technologies are ever evolving and have the power to change human work for the better or the worse depending on the implementation. For human–robot interaction (HRI), it is decisive how humans and robots will share tasks and who will be in charge for decisions on task allocation. The aim of this online experiment was to examine the influence of different decision agents on the perception of a task allocation process in HRI. We assume that inclusion of the worker in the allocation will create more perceived work resources and will lead to more satisfaction with the allocation and the work results than a decision made by another agent. To test these hypotheses, we used a fictional production scenario where tasks were allocated to the participant and a robot. The allocation decision was either made by the robot, by an organizational unit, or by the participants themselves. We then looked for differences between those conditions. Our sample consisted of 151 people. In multiple ANOVAs, we could show that satisfaction with the allocation process, the solution, and with the result of the work process was higher in the condition where participants themselves were given agency in the allocation process compared to the other two. Those participants also experienced more task identity and autonomy. This has implications for the design of allocation processes: The inclusion of workers in task allocation can play a crucial role in leveraging the acceptance of HRI and in designing humane work systems in Industry 4.0.



中文翻译:

最佳的任务分配过程是自己决定:分配代理在人机交互中对感知的工作特征和满意度的影响

新技术不断发展,并有能力根据实现的不同而改变人类的工作。对于人机交互(HRI),决定性的是人与机器人如何共享任务以及由谁负责任务分配的决策。这个在线实验的目的是检验不同决策者对HRI中任务分配过程的感知的影响。我们假设将工人包括在分配中将比其他代理商做出的决定会创造更多的可感知工作资源,并使人们对分配和工作结果更加满意。为了检验这些假设,我们使用了一个虚构的生产场景,其中任务分配给了参与者和一个机器人。分配决定是由机器人,组织单位做出的,或由参与者自己决定。然后,我们寻找这些条件之间的差异。我们的样本包括151人。在多个方差分析中,我们可以证明,与其他两个参与者相比,在参与者自己在分配过程中被授予代理的条件下,对分配过程,解决方案以及工作过程结果的满意度更高。这些参与者还经历了更多的任务身份和自主权。这对分配流程的设计具有影响:将工人包括在任务分配中,可以在充分利用HRI和在工业4.0中设计人性化的工作系统方面发挥关键作用。我们可以证明,与其他两个参与者相比,在参与者自己在分配过程中获得代理的情况下,对分配过程,解决方案以及工作过程的结果的满意度更高。这些参与者还经历了更多的任务身份和自主权。这对分配流程的设计具有影响:将工人包括在任务分配中,可以在充分利用HRI和在工业4.0中设计人性化的工作系统方面发挥关键作用。我们可以证明,与其他两个参与者相比,在参与者自己在分配过程中获得代理的情况下,对分配过程,解决方案以及工作过程的结果的满意度更高。这些参与者还经历了更多的任务身份和自主权。这对分配流程的设计具有影响:将工人包括在任务分配中,可以在充分利用HRI和在工业4.0中设计人性化的工作系统方面发挥关键作用。

更新日期:2020-12-21
down
wechat
bug