Mathematical Modeling of the Human Cognitive System in Two Serial Processing Stages With Its Applications in Adaptive Workload-Management Systems

With the increasing usage of in-vehicle systems, drivers have to frequently perceive and respond to messages from these in-vehicle systems. In addition, previous studies have found that the interval between the messages (arrival rate) presented to a driver becomes one of the factors affecting driver workload. To reduce driver workload, researchers on adaptive workload-management systems have found that adding extra delay time into the interval of messages can significantly reduce driver workload. However, it is unknown whether this extra delay time added by an adaptive workload-management system will increase the performance time of drivers or not. To answer this important question, using closed-form mathematical equations, the current work quantifies human performance time (total task completion time and reaction time of each task) when there are two serial processing stages in the human cognitive system. The mathematical model developed in this work provides solutions of the optimal interval of messages that generate the lowest workload without deteriorating drivers' performance time to respond to multiple messages from in-vehicle systems. This is one of a few closed-form deterministic mathematical models with analytic solutions that can predict average reaction time when there are two multiple serial stages in the cognitive system in dual tasks. With relatively simple equations, the mathematical model can still capture the major patterns of simulation results with stochastic properties and human behavioral experimental results. The mathematical equations developed in this study can be used in the design of adaptive workload-management systems and other driver assistance systems.

[1]  Tang-Hsien Chang,et al.  Dynamic Data Regulation for Fixed Vehicle Detectors , 2010, IEEE Transactions on Intelligent Transportation Systems.

[2]  John R. Anderson,et al.  Serial modules in parallel: the psychological refractory period and perfect time-sharing. , 2001, Psychological review.

[3]  Yili Liu,et al.  Development of an Adaptive Workload Management System Using the Queueing Network-Model Human Processor (QN-MHP) , 2008, IEEE Transactions on Intelligent Transportation Systems.

[4]  Yihong Gong,et al.  A General Framework to Detect Unsafe System States From Multisensor Data Stream , 2010, IEEE Transactions on Intelligent Transportation Systems.

[5]  Bekir Bartin,et al.  Determining the Optimal Configuration of Highway Routes for Real-Time Traffic Information: A Case Study , 2010, IEEE Transactions on Intelligent Transportation Systems.

[6]  Yili Liu,et al.  Queuing network modeling of the psychological refractory period (PRP). , 2008, Psychological review.

[7]  Allen Newell,et al.  The psychology of human-computer interaction , 1983 .

[8]  David E. Kieras,et al.  A computational theory of executive cognitive processes and multiple-task performance: Part 2. Accounts of psychological refractory-period phenomena. , 1997 .

[9]  LiuYili,et al.  Queuing Network Modeling of Transcription Typing , 2008 .

[10]  Yili Liu,et al.  Queueing Network-Model Human Processor (QN-MHP): A computational architecture for multitask performance in human-machine systems , 2006, TCHI.

[11]  Torsten Schubert,et al.  Processing differences between simple and choice reactions affect bottleneck localization in overlapping tasks , 1999 .

[12]  Changxu Wu,et al.  Development of an Adaptive Workload Management System using the Queueing Network-Model Human Processor , 2007 .

[13]  DOUGLAS WAGNER,et al.  A Computer-Based Methodology for Evaluating the Content of Variable Message Signage , 1997, J. Intell. Transp. Syst..

[14]  Yili Liu,et al.  Queuing Network Modeling of a Real-Time Psychophysiological Index of Mental Workload—P300 in Event-Related Potential (ERP) , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[15]  J Tatge,et al.  HIGH-TECH POLICE CAR BUILDS BRIDGES BETWEEN AGENCIES , 2000 .

[16]  J. C. Johnston,et al.  Attentional limitations in dual-task performance. , 1998 .

[17]  D W Duszynski,et al.  Polymorphism of eimerian oocysts: a dilemma posed by working with some naturally infected hosts. , 1986, The Journal of parasitology.

[18]  D E Kieras,et al.  A computational theory of executive cognitive processes and multiple-task performance: Part 1. Basic mechanisms. , 1997, Psychological review.

[19]  J. Banks,et al.  Discrete-Event System Simulation , 1995 .

[20]  Reid Ewing,et al.  Traffic Calming: State of the Practice , 1999 .

[21]  Changxu Wu,et al.  Usability Makeover of a Cognitive Modeling Tool , 2007 .

[22]  R. William Soukoreff,et al.  Text entry for mobile computing: models and methods , 2002 .

[23]  E. Donchin,et al.  Performance of concurrent tasks: a psychophysiological analysis of the reciprocity of information-processing resources. , 1983, Science.

[24]  Henry L. Roediger,et al.  Research Methods in Psychology , 1985 .

[25]  Yili Liu,et al.  Queuing Network Modeling of Driver Workload and Performance , 2006, IEEE Transactions on Intelligent Transportation Systems.

[26]  J M Violanti,et al.  Cellular phones and traffic accidents: an epidemiological approach. , 1996, Accident; analysis and prevention.

[27]  I. Scott MacKenzie,et al.  Text Entry for Mobile Computing: Models and Methods,Theory and Practice , 2002, Hum. Comput. Interact..

[28]  H Alm,et al.  The effects of a mobile telephone task on driver behaviour in a car following situation. , 1995, Accident; analysis and prevention.

[29]  Yili Liu,et al.  Application of Scheduling Methods in Designing Multimodal In-Vehicle Systems , 2008 .

[30]  J. C. Johnston,et al.  Why practice reduces dual-task interference. , 2001, Journal of experimental psychology. Human perception and performance.

[31]  Yili Liu,et al.  Development and evaluation of an ergonomic software package for predicting multiple-task human performance and mental workload in human-machine interface design and evaluation , 2009, Comput. Ind. Eng..

[32]  E. B. Zechmeister,et al.  Research Methods in Psychology. , 1990 .

[33]  Y Liu,et al.  Queueing network modeling of elementary mental processes. , 1996, Psychological review.

[34]  H Pashler,et al.  Processing stages in overlapping tasks: evidence for a central bottleneck. , 1984, Journal of experimental psychology. Human perception and performance.