Defining workload in the context of driver state detection and HMI evaluation

Workload is a dynamic concept that can have different meanings depending on the investigative perspective and the question being asked. Awareness of these methodological distinctions is essential when interpreting research and human machine interface evaluations. Understanding workload within the contexts of objective demand vs. effective workload, physical vs. mental workload, task pacing, automation, technology education, measurement context and distraction are among the themes raised in this brief review.

[1]  Natasha Merat,et al.  Comparing the driving performance of average and older drivers: The effect of surrogate in-vehicle information systems , 2005 .

[2]  K A Brookhuis,et al.  The effects of mobile telephoning on driving performance. , 1991, Accident; analysis and prevention.

[3]  William B. Rouse,et al.  Modeling the dynamics of mental workload and human performance in complex systems , 1993, IEEE Trans. Syst. Man Cybern..

[4]  B. Frier,et al.  Hypoglycaemia and driving in people with insulin‐treated diabetes: adherence to recommendations for avoidance , 2004, Diabetic medicine : a journal of the British Diabetic Association.

[5]  Shih-sung Wen.  'POPCORN' as a Tool for Future Cognitive Workload Assessment: A Conceptual Analysis. , 1997 .

[6]  Ying Wang,et al.  A Field Study on the Impact of Variations in Short-Term Memory Demands on Drivers’ Visual Attention and Driving Performance Across Three Age Groups , 2012, Hum. Factors.

[7]  Albert Kircher,et al.  Driver experience and cognitive workload in different traffic environments. , 2006, Accident; analysis and prevention.

[8]  V. Gawron.  Human Performance, Workload, and Situational Awareness Measures Handbook , 2008 .

[9]  Christopher D. Wickens,et al.  Multiple resources and performance prediction , 2002 .

[10]  D. Kahneman,et al.  Attention and Effort , 1973 .

[11]  G. Salvendy,et al.  Review and reappraisal of modelling and predicting mental workload in single- and multi-task environments , 2000 .

[12]  A. Pohlmeyer,et al.  The association between heart rate reactivity and driving performance under dual task demands in late middle age drivers , 2008 .

[13]  Christopher D. Wickens,et al.  Multiple Resources and Mental Workload , 2008, Hum. Factors.

[14]  Bryan Reimer,et al.  Sensitivity of Physiological Measures for Detecting Systematic Variations in Cognitive Demand From a Working Memory Task , 2012, Hum. Factors.

[15]  A W Gaillard,et al.  Comparing the concepts of mental load and stress. , 1993, Ergonomics.

[16]  J. G. Hollands,et al.  Engineering Psychology and Human Performance , 1984 .

[17]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[18]  Bryan Reimer,et al.  Monitoring, managing, and motivating driver safety and well-being , 2011, IEEE Pervasive Computing.

[19]  Bryan Reimer,et al.  The impact of cognitive workload on physiological arousal in young adult drivers: a field study and simulation validation , 2011, Ergonomics.

[20]  J. Dusek,et al.  Impact of Incremental Increases in Cognitive Workload on Physiological Arousal and Performance in Young Adult Drivers , 2009 .