Continuous detection of workload overload: An fNIRS approach.
作者： H.A. Maior , S. Sharples , Max Wilson , Matthew Pike
DOI:
关键词: Machine learning 、 Artificial intelligence 、 Task (project management) 、 Workload 、 Real-time computing 、 Computer science 、 Neuroimaging 、 Subjective workload
摘要: Functional Near-Infrared Spectroscopy (fNIRS) is a brain imaging technique that offers the potential to provide continuous, detailed insight into human mental workload, enabling an objective means of detecting overload conditions during complex tasks. When compared other techniques, fNIRS provides non-invasive, portable and reliable measure lends itself towards more ecologically valid settings. Our findings confirm correlation between NASA-TLX subjective workload questionnaire. results novel insights its relation we propose use as continuous tool for task situations.
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nott.ac.uk 参考文章(12)
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