The scientific programme of WORKLOAD 2017 will consist of regular and technical contributions reviewed and selected by an international programme committee, as well as keynote talks and tutorials given by leading experts in their fields.
The symposium aims to become the premier event for discussion of emerging research on mental workload and its models and applications. It will bring together researchers and practitioners from different disciplines including human factors, computer science, psychology, education, and neuroscience and provide a mechanism for the exchange of ideas and technologies between a worldwide audience of academics and industrial scientists.
We solicit submissions on previously unpublished research work on human mental workload covering all disciplines and domains. Example areas include but are not limited to:
Mental workload theory and frameworks
Formal models of mental workload
Computational mental workload
Dimension and metrics of mental workload
Cognitive load theory
Human information processing
Cognitive capacity
Measurement of mental workload
Physiological measures
Self-report and subjective measures
Analytic measures
Computational and big data measures
Neurological measures
Mental workload in context
Overload and underload effects
Impact on operators and operations
Safety and risk
Team load and collaborative aspects
Distributed cognition
Impact on performance
Impact on situation awareness
Applications of mental workload in practice
Mental workload and interaction design
Mental workload and human machine interfaces
Mental workload and user experience
Mental workload and assistive technologies
Mental workload in education and instructional design
Mental workload and simulation
Mental workload and prototyping
Mental workload in large scale open and decentralised environments
Mental workload and user studies
Mental workload in safety critical domains
Transportation (road, rail, aviation, maritime)
Medical and healthcare
Oil and gas
Process industries
Manufacturing
Nuclear
06月28日
2017
06月30日
2017
注册截止日期
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