工作量
计算机科学
背景(考古学)
人机交互
认知
分类
数据科学
人工智能
心理学
操作系统
生物
古生物学
神经科学
作者
Thomas Kosch,Jakob Karolus,Johannes Zagermann,Harald Reiterer,Albrecht Schmidt,Paweł W. Woźniak
出处
期刊:ACM Computing Surveys
[Association for Computing Machinery]
日期:2023-01-31
卷期号:55 (13s): 1-39
被引量:72
摘要
The ever-increasing number of computing devices around us results in more and more systems competing for our attention, making cognitive workload a crucial factor for the user experience of human-computer interfaces. Research in Human-Computer Interaction (HCI) has used various metrics to determine users’ mental demands. However, there needs to be a systematic way to choose an appropriate and effective measure for cognitive workload in experimental setups, posing a challenge to their reproducibility. We present a literature survey of past and current metrics for cognitive workload used throughout HCI literature to address this challenge. By initially exploring what cognitive workload resembles in the HCI context, we derive a categorization supporting researchers and practitioners in selecting cognitive workload metrics for system design and evaluation. We conclude with three following research gaps: (1) defining and interpreting cognitive workload in HCI, (2) the hidden cost of the NASA-TLX, and (3) HCI research as a catalyst for workload-aware systems, highlighting that HCI research has to deepen and conceptualize the understanding of cognitive workload in the context of interactive computing systems.
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