A multi-measure approach for connecting cognitive workload and automation
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- 作者：Dakota C. Evans ; evans.199@wright.edu" class="auth_mail" title="E-mail the corresponding author ; Mary Fendley mary.fendley@wright.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Human-computer interaction ; Cognitive workload ; Automation ; Physiology ; Visual physiology
- 刊名：International Journal of Human - Computer Studies
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：97
- 期：Complete
- 页码：182-189
- 全文大小：752 K
文摘
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Cognitive workload differences were detected during human-computer interaction with high and low levels of automation using three different measures of cognitive workload (NASA-TLX subjective surveys, time of run, and visual fixation rate).
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A positive correlation was found between NASA-TLX subjective workload rating and time of run.
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A positive correlation was found between NASA-TLX subjective workload rating and visual fixation rate.
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Human physiology, such as fixation rate, can be used to assess cognitive workload almost in real-time.