Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, USA.
Department of Computer Science, University of Illinois at Chicago, USA.
Appl Ergon. 2023 May;109:103969. doi: 10.1016/j.apergo.2023.103969. Epub 2023 Jan 24.
This study examines the effects of noise and the use of an Intelligent Virtual Assistant (IVA) on the task performance and workload of office workers. Data were collected from forty-eight adults across varied office task scenarios (i.e., sending an email, setting up a timer/reminder, and searching for a phone number/address) and noise types (i.e., silence, non-verbal noise, and verbal noise). The baseline for this study is measured without the use of an IVA. Significant differences in performance and workload were found on both objective and subjective measures. In particular, verbal noise emerged as the primary factor affecting performance using an IVA. Task performance was dependent on the task scenario and noise type. Subjective ratings found that participants preferred to use IVA for less complex tasks. Future work can focus more on the effects of tasks, demographics, and learning curves. Furthermore, this work can help guide IVA system designers by highlighting factors affecting performance.
这项研究考察了噪声和智能虚拟助手(IVA)的使用对办公人员任务绩效和工作负荷的影响。数据来自 48 名成年人,他们在不同的办公任务场景(即发送电子邮件、设置定时器/提醒和搜索电话号码/地址)和噪声类型(即安静、非言语噪声和言语噪声)下完成任务。本研究的基准是在不使用 IVA 的情况下测量的。在客观和主观测量方面都发现了绩效和工作负荷的显著差异。特别是,言语噪声成为使用 IVA 时影响绩效的主要因素。任务绩效取决于任务场景和噪声类型。主观评价发现,参与者更喜欢使用 IVA 来完成较简单的任务。未来的工作可以更多地关注任务、人口统计学和学习曲线的影响。此外,这项工作可以通过突出影响绩效的因素来帮助指导 IVA 系统设计人员。
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