Existing Models Developed with QN-MHP

Entire Network

1. Mental workload modeling measured by NASA-TLX: Equation (10-12) (Wu & Liu, 2007)

2. Mental workload modeling measured by P300 amplitude and latency: Equation (10-11) (Wu, Liu, & Quinn-Walsh, 2008)

3. Bold signal in fMRI modeling: Equation (27) (Wu & Liu, 2008a)

4. Entity route selections and skill acquisitions based on reinforcement learning algorithms: Equation (9.7-9.8) (Wu, Berman, & Liu, 2010)

5. Information processing speed and its variability changes in learning process: Equation (6) (Wu & Liu, 2008b)

6. Warning information processing with route choices: (Zhang & Wu, 2022)

Perceptual Subnetwork

Visual perceptual subnetwork

1. Eye movement modeling in textual information perception: Equation (12) (Wu & Liu, 2008b)

2. Eye movement modeling in picture information perception: Equation (3) (Lim & Liu, 2009)

3. Visual optical flow perception and speed perception: Equation (1) (Zhao & Wu, 2013)

4. Visual detection modeling with detection distance and image matrix: Equation (15) (Bi, Tsimhoni, & Liu, 2009)

Auditory perceptual subnetwork

1. Auditory processing of warning acoustic features: Equation (1) (Zhang & Wu, 2016)

2. Auditory processing of warning semantic features: Equation (2) (Zhang & Wu, 2016)

Cognitive Subnetwork

－Server A:

Modeling the route choice probabilities of warning information processing: (Zhang & Wu, 2022)

－Server B:

Modeling of optimal chunking of textual information: Equation (22) (Wu & Liu, 2008b)

Modeling the effects of warning lead time on perceived hazard urgency: (Zhang & Wu, 2022)

Modeling the effects of warning reliability and warning styles on driver trust: (Zhang & Wu, 2022)

－Server C:

1. Inhibiting incompatible responses modeling: Equation (5-6, 8-9) (Wu & Liu, 2008a)

2. Dual task interference modeling: Equation (2) (Lin & Wu, 2012)

－Server E:

Background noise in motor control: Equation (15) (Lin & Wu, 2012)

－Server F

1. Choice reaction modeling in multiple tasks: Equation (B16) (Wu & Liu, 2008a)

2. Response complexity modeling: Equation (13) (Lin & Wu, 2012)

3. Complex decision making with value matrix: Equation (4) (Zhao & Wu, 2013)

4. Perceived risk modeling: Equation (5) (Zhuang & Wu, 2013)

5. Decision making in lateral control: Equation (2) (Bi, Gan, Shang, & Liu, 2012)

6. Driving response selection (braking vs. steering): (Zhang & Wu, 2022)

－Server G:

Urgency and Motivation Modeling : Equation (12) (Lin & Wu, 2012)

Motor Subnetwork

－Server W:

Motor program retrieval modeling in the learning process: Equation (2) (Wu & Liu, 2008b)

－Server X:

Error correction modeling in close-loop motor control: Equation (31-32) (Lin & Wu, 2012)

－Hand servers (Server 23,24):

1. Hand and finger movement time and errors in QWERTY keyboard typing: Equation (19) (Wu & Liu, 2008b)

2. Bimanual (two hands) coordination: Equation (31-34), (Wu & Liu, 2008b)

3. Hand and finger movement time and error in numerical typing: Equation (13) (16) (Lin & Wu, 2012)

－Foot Server (Server 25)

1. Movement time of foot in pressing a pedal: Equation (21) (Wu & Liu, 2008b)

2. Angular speed of the foot movement: Equation (3) (Zhao, Wu, & Qiao, 2013)

3. Foot movement amplitude in non-emergent driving condition: Equation (6) (Zhao & Wu, 2013)

4. Foot movement amplitude in emergent driving condition: (Zhang & Wu, 2022)

Reference

Bi, L., Gan, G., Shang, J., & Liu, Y. (2012). Queuing Network Modeling of Driver Lateral Control With or Without a Cognitive Distraction Task. IEEE Transactions on Intelligent Transportation Systems, 13(4), 1810–1820. doi:10.1109/TITS.2012.2204255

Bi, L., Tsimhoni, O., & Liu, Y. (2009). Using Image-Based Metrics to Model Pedestrian Detection Performance With Night-Vision Systems. IEEE Transactions on Intelligent Transportation Systems, 10(1), 155–164. doi:10.1109/TITS.2008.2011719

Lim, J. H., & Liu, Y. (2009). Modeling the Influences of Cyclic Top-Down and Bottom-Up Processes for Reinforcement Learning in Eye Movements. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 39(4), 706–714. doi:10.1109/TSMCA.2009.2018635

Lin, C.-J., & Wu, C. (2012). Mathematically modelling the effects of pacing, finger strategies and urgency on numerical typing performance with queuing network model human processor. Ergonomics, 55(10), 1180–204. doi:10.1080/00140139.2012.697583

Wu, C., Berman, M., & Liu, Y. (2010). Optimization in Brain? - Modeling Human Behavior and Brain Activation Patterns with Queuing Network and Reinforcement Learning Algorithms. In W. Chaovalitwongse, P. M. Pardalos, & P. Xanthopoulos (Eds.), Computational Neuroscience (Vol. 38, pp. 157–179). New York, NY: Springer New York. doi:10.1007/978-0-387-88630-5

Wu, C., & Liu, Y. (2007). Queuing Network Modeling of Driver Workload and Performance. Intelligent Transportation Systems, IEEE Transactions on, 8(3), 528–537.

Wu, C., & Liu, Y. (2008a). Queuing network modeling of the psychological refractory period (PRP). Psychological review, 115(4), 913–54. doi:10.1037/a0013123

Wu, C., & Liu, Y. (2008b). Queuing network modeling of transcription typing. ACM Transactions on Computer-Human Interaction, 15(1).

Wu, C., Liu, Y., & Quinn-Walsh, C. M. (2008). Queuing Network Modeling of a Real-Time Psychophysiological Index of Mental Workload-P300 in Event-Related Potential (ERP). Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 38(5), 1068–1084.

Zhao, G., & Wu, C. (2013). Mathematical Modeling of Driver Speed Control With Individual Differences. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(5), 1091–1104. doi:10.1109/TSMC.2013.2256854

Zhao, G., Wu, C., & Qiao, C. (2013). A Mathematical Model for the Prediction of Speeding with its Validation. IEEE Transactions on Intelligent Transportation Systems, 14(2), 828–836.

Zhang, Y., Wu, C., Qiao, C., Sadek, A., Hulme, K. (2022). A cognitive computational driver model of warning response performance in connected vehicle systems. IEEE Transactions on Intelligent Transportation System.

Zhang, Y., Wu, C., & Wan, J. (2016). Mathematical modeling of the effects of speech warning characteristics on human performance and its application in transportation cyberphysical systems. IEEE Transactions on Intelligent Transportation Systems, 17(11), 3062-3074.

Zhuang, X., & Wu, C. (2013). Modeling Pedestrian Crossing Paths at Unmarked Roadways. IEEE Transactions on Intelligent Transportation Systems, 14(3), 1438–1448.