Investigating cognitive workload in irrelevant speech-based information communication with visual distractions: Pleasant or distracted?

IF 2.5 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

International Journal of Industrial Ergonomics Pub Date : 2023-12-20 DOI:10.1016/j.ergon.2023.103539

Li Liu , Vincent G. Duffy

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引用次数: 0

Abstract

Irrelevant background sounds have been proven to decrease efficiency while working, while the perception may be different when people actively listen to pleasant background sounds at work. This study aims to investigate the cognitive workload in irrelevant speech-based information communication (live streaming, white noise, movie, songs, and quiet environment) with visual distractions under different reading tasks (familiar and unfamiliar reading material) using NASA-TLX and eye-tracking metrics. The results showed the main effect of irrelevant speech-based information type on NASA-TLX was not significant. Participants tended to show a higher preference for quiet-based information and the live-based information was the opposite. Revisits and fixation duration had a similar trend for a small window and movie-based information had the most revisits and fixation duration and white noise was the opposite. The results of this experiment will contribute to helping improve the pleasure perception while working and make communication information more efficient.

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研究视觉干扰下不相关语音信息交流的认知工作量：愉悦还是分心？

事实证明，无关的背景声音会降低工作效率，而当人们在工作中主动聆听悦耳的背景声音时，感知可能会有所不同。本研究旨在利用 NASA-TLX 和眼动追踪指标，研究在不同阅读任务（熟悉和陌生的阅读材料）下，视觉分心的无关语音信息交流（现场直播、白噪声、电影、歌曲和安静环境）的认知工作量。结果显示，无关语音信息类型对 NASA-TLX 的主效应不显著。受试者倾向于对安静信息表现出更高的偏好，而对实时信息则相反。在一个小窗口中，重访和固定持续时间的趋势相似，电影类信息的重访和固定持续时间最多，而白噪声则相反。本实验的结果将有助于提高工作时的愉悦感，并使交流信息更有效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Industrial Ergonomics 工程技术-工程：工业

CiteScore

6.40

自引率

12.90%

发文量

110

审稿时长

56 days

期刊介绍： The journal publishes original contributions that add to our understanding of the role of humans in today systems and the interactions thereof with various system components. The journal typically covers the following areas: industrial and occupational ergonomics, design of systems, tools and equipment, human performance measurement and modeling, human productivity, humans in technologically complex systems, and safety. The focus of the articles includes basic theoretical advances, applications, case studies, new methodologies and procedures; and empirical studies.