research-article

Queuing Network Modeling of Transcription Typing

Authors:

Yili LiuAuthors Info & Claims

ACM Transactions on Computer-Human Interaction (TOCHI), Volume 15, Issue 1

Article No.: 6, Pages 1 - 45

https://doi.org/10.1145/1352782.1352788

Published: 01 May 2008 Publication History

Abstract

Transcription typing is one of the basic and common activities in human-machine interaction and 34 transcription typing phenomena have been discovered involving many aspects of human performance including interkey time, typing units and spans, typing errors, concurrent task performance, eye movements, and skill effects. Based on the queuing network theory of human performance [Liu 1996; 1997] and current discoveries in cognitive and neural science, this article extends and applies the Queuing Network-Model Human Processor (QN-MHP [Liu et al. 2006]) to model 32 transcription typing phenomena. The queuing network model of transcription typing offers new insights into the mechanisms of cognition and human-computer interaction. Its value in proactive ergonomics design of user interfaces is illustrated and discussed.

References

[1]

Aizawa, H., Inase, M., Mushiake, H., Shima, K., and Tanji, J. 1991. Reorganization of activity in the supplementary motor area associated with motor learning and functional recovery. Experim. Brain Resear. 84, 3, 668--671.

[2]

Alexander, R. M. 1993. Optimization of structure and movement of the legs of animals. J. Biomechan. 26, 1--6.

[3]

Anderson, J. R. and Lebiere, C. 1998. The Atomic Components of Thought. Lawrence Erlbaum Associates.

[4]

Anderson, J. R., Qin, Y. L., Stenger, V. A., and Carter, C. S. 2004. The relationship of three cortical regions to an information-processing model. J. Cognit. Neurosci. 16, 4, 637--653.

Digital Library

[5]

Armstrong, T. J. 2004. Applied Anthropometry. http://ioe.engin.umich.edu/ioe491Anthrodata.

[6]

Asari, T., Konishi, S., Jimura, K., and Miyashita, Y. 2005. Multiple components of lateral posterior parietal activation associated with cognitive set shifting. Neuroimage 26, 3, 694--702.

[7]

Baddeley, A. D. 1992. Working memory. Science, 255, 5044, 556--559.

[8]

Baltes, P. B., Staudinger, U. M., and Lindenberger, U. 1999. Lifespan psychology: Theory and application to intellectual functioning. Ann. Rev. Psych. 50, 471--507.

[9]

Bear, M. F., Connors, B. W., and Paradiso, M. A. 2001. Neuroscience: Exploring the Brain. Lippincott Williams & Wilkins, Baltimore, MD.

[10]

Black, I. B. 1999. Trophic regulation of synaptic plasticity. J. Neurobiol. 41, 1, 108--118.

[11]

Boettiger, C. A. and D'Esposito, M. 2005. Frontal networks for learning and executing arbitrary stimulus - Response associations. J. Neurosci. 25, 10, 2723--2732.

[12]

Bor, D., Cumming, N., Scott, C. E. L., and Owen, A. M. 2004. Prefrontal cortical involvement in verbal encoding strategies. European J. Neurosci. 19, 12, 3365--3370.

[13]

Borghese, N. A. and Calvi, A. 2003. Learning to maintain upright posture: What can be learned using adaptive neural network models? Adaptive Behav. 11, 1, 19--35.

[14]

Braus, D. F. 2004. Neurobiology of learning - The basis of an alteration process. Psychiatrische Praxis 31, S215--S223.

[15]

Bullock, T. 1968. Representation of information in neurons and sites for molecular participation. Proc. Natl. Acad. Sci. 60, 4, 1058--1068.

[16]

Bustillos, A. T. and De Oliveira, P. M. C. 2004. Evolutionary model with genetics, aging, and knowledge. Physical Rev. 69, 2.

[17]

Butsch, R. L. C. 1932. Eye movements and the eye-hand span in typewriting. J. Educ. Psych. 23, 104--121.

[18]

Card, S., Moran, T. P., and Newell, A. 1983. The psychology of human-computer interaction. Lawrence Erlbaum, Hinsdale, NJ.

Digital Library

[19]

Chklovskii, D. B., Mel, B. W., and Svoboda, K. 2004. Cortical rewiring and information storage. Nature 431, 7010, 782--788.

[20]

Cook, A. S. and Woollacott, M. H. 1995. Motor Control: Theory and Practical Applications. Williams & Wilkins, Philadelphia, PA.

[21]

Drury, C. G. 1975. Application of Fitt's Law to foot-pedal design. Human Factors 17, 368--373.

[22]

Duric, Z., Gray, W. D., Heishman, R., Li, F. Y., Rosenfeld, A., Schoelles, M. J., Schunn, C., and Wechsler, H. 2002. Integrating perceptual and cognitive modeling for adaptive and intelligent human-computer interaction. Proceedings of the IEEE 90, 7, 1272--1289.

[23]

Eagleman, D., Jacobson, J., and Sejnowski, T. 2004. Perceived luminance depends on temporal context. Nature 428, 6985, 854--856.

[24]

Faw, B. 2003. Pre-frontal executive committee for perception, working memory, attention, long-term memory, motor control, and thinking: A tutorial review. Consciousness Cognition 12, 1, 83--139.

[25]

Feyen, R. 2002. Modeling Human Performance using the Queuing Network -- Model Human Processor (QN-MHP). Department of Industrial and Operations Engineering, University of Michigan Press, Ann Arbor, MI.

Digital Library

[26]

Feyen, R. and Liu, Y. 2001. Modeling task performance using the Queuing Network Model Human Processor (QNMHP). In Proceedings of the 4th International Conference on Cognitive Modeling. Lawrence Erbaum Associates.

[27]

Fish, L. A., Drury, C. G., and Helander, M. G. 1997. Operator-specific model: An assembly time prediction model. Hum. Factors Ergonom. Manufac. 7, 3, 211--235.

[28]

Gan, K. and Hoffman, E. R. 1988. Geometrical conditions for ballistic and visually controlled movment. Ergonomics 31, 829--839.

[29]

Genovesio, A., Brasted, P. J., Mitz, A. R., and Wise, S. P. 2005. Prefrontal cortex activity related to abstract response strategies. Neuron 47, 2, 307--320.

[30]

Gentner, D. R. 1983. The acquisition of typewriting skill. Acta Psychologica 54, 233--248.

[31]

Gentner, D. R. 1987. Timing of skilled motor-performance---test of the proportional duration model. Psych. Rev. 94, 2, 255--276.

[32]

Georgopoulos, A. P., Taira, M., and Lukashin, A. 1993. Cognitive neurophysiology of the motor cortex. Science 260, 5104, 47--52.

[33]

Gerard, M., Armstrong, T. J., Franzblau, A., Martin, B. J., and Rempel, D. M. 1999. The effect of keyswitch stiffness on typing force, finger electromyography, and subjective discomfort. Amer. Indus. Hygiene Assoc. J. 60, 762--769.

[34]

Ghilardi, M. F., Ghez, C., Dhawan, V., Moeller, J., Mentis, M., Nakamura, T., Antonini, A., and Eidelberg, D. 2000. Patterns of regional brain activation associated with different forms of motor learning. Brain Resear. 871, 1, 127--145.

[35]

Goldstein, M., Book, R., Alsio, G., and Tessa, S. 1999. Non-keyboard QWERTY touch typing: A portable input interface for the mobile user. In Proceedings in Human Factors in Computing Systems (CHI). 32--39.

Digital Library

[36]

Gordon, A. M., Lee, J. H., Flament, D., Ugurbil, K., and Ebner, T. J. 1998. Functional magnetic resonance imaging of motor, sensory, and posterior parietal cortical areas during performance of sequential typing movements. Exper. Brain Resear. 121, 2, 153--166.

[37]

Gordon, A. M. and Soechting, J. F. 1995. Use of tactile afferent information in sequential finger movements. Exper. Brain Resear. 107, 281--292.

[38]

Gross, D. and Harris, C. M. 1985. Fundamentals of Queuing Theory. John Wiley & Sons, New York, NY.

Digital Library

[39]

Habib, M. 2003. Rewiring the dyslexic brain. Trends Cognitive Sci. 7, 8, 330--333.

[40]

Hansen, M. H., Hurwitz, W. N., and Madow, W. G. 1953. Sample Survey Methods and Theory. John Wiley & Sons, Inc., New York.

[41]

Heathcote, A., Brown, S., and Mewhort, D. J. K. 2000. The power law repealed: The case for an exponential law of practice. Psychonomic Bull. Rev. 7, 2, 185--207.

[42]

Hershman, R. L. and Hillix, W. A. 1965. Data-processing in typing - typing rate as a function of kind of material and amount exposed. Hum. Factors 7, 5, 483--492.

[43]

Inhoff, A. W., Briihl, D., Bohemier, G., and Wang, J. 1992a. Eye-hand span and coding of text during copytyping. J. Exp. Psychol.-Learn. Memory Cognition, 18, 2, 298--306.

[44]

Inhoff, A. W., Topolski, R., and Wang, J. 1992b. Saccade programming during short duration fixations - an examination of copytyping, letter detection, and reading. Acta Psychologica, 81 1, 1--21.

[45]

Inhoff, A. W. and Wang, J. 1992. Encoding of text, manual movement planning, and eye-hand coordination during copytyping. J. Exper. Psychol.: Hum. Percep. Perform. 18, 437--448.

[46]

Ito, M. 1991. Short-term retention of a constructed motor program. Percept. Motor Skill, 72, 1, 339--347.

[47]

John, B. E. 1988. Contributions to Engineering models of Human-Computer Interaction. Carnegie-Mellon University Press, Pittsburgh, PA.

Digital Library

[48]

John, B. E. 1996. TYPIST: A theory of performance in skilled typing. Hum.-Comput. Interac. 11, 4, 321--355.

Digital Library

[49]

John, B. E. and Kieras, D. E. 1996a. The GOMS family of user interface analysis techniques: comparison and contrast. ACM Trans. Hum.-Comput. Interac. 3, 4, 320--351.

Digital Library

[50]

John, B. E. and Kieras, D. E. 1996b. Using GOMS for user interface design and evaluation: Which technique? ACM Trans. Hum.-Comput. Interac. 3, 4, 287--319.

Digital Library

[51]

John, B. E. and Newell, A. 1989. Cumulating the science of HCI: From S-R Compatibility to transcription typing. In Proceedings of Human Factors in Computing Systems (CHI'89). 109--114.

Digital Library

[52]

Jueptner, M. and Weiller, C. 1998. A review of differences between basal ganglia and cerebellar control of movements as revealed by functional imaging studies. Brain 121, 1437--1449.

[53]

Just, M. A. and Carpenter, P. N. 1992. A capacity theory of comprehension: individual differences in working memory. Psych. Rev. 99, 122--149.

[54]

Kaufer, D. I. and Lewis, D. A. 1999. Frontal Lobe Anatomy and Cortical Connectivity. In The Human Frontal Lobes: Functions and Disorders. The Gullford Press, New York, NY.

[55]

Krampe, R. T., Rapp, M. A., Bondar, A., and Baltes, R. B. 2003. Allocation of cognitive resources during the simultaneous performance of cognitive and sensorimotor tasks. Nervenarzt, 74, 3, 211--218.

[56]

Laird, J. E., Newell, A., and Rosenbloom, P. S. 1987. Soar: An architecture for general intelligence. Artif. Intell. 33, 1--64.

Digital Library

[57]

Langolf, G., D., Chaffin, D., and Foulke, J. 1976. An investigation of fitts' law over a wide range of movement amplitudes. J. Motor Behav. 8, 2, 113--128.

[58]

Laureys, S., Peigneux, P., Phillips, C., Fuchs, S., Degueldre, C., Aerts, J., Del Fiore, G., Petiau, C., Luxen, A., Van DR Linden, M., Cleeremans, A., Smith, C., and Maquet, P. 2001. Experience-dependent changes in cerebral functional connectivity during human rapid eye movement sleep. Neuroscience 105, 3, 521--525.

[59]

Li, Z. M., Zatsiorsky, V. M., Li, S., Danion, F., and Latash, M. L. 2001. Bilateral multifinger deficits in symmetric key-pressing tasks. Exper. Brain Resear. 140, 86--94.

[60]

Lim, J. and Liu, Y. 2004. A queueing network model for eye movement. In Proceedings of the 2004 International Conference on Cognitive Modeling. Pittsburg, PA. 154--159.

[61]

Liu, Y., Feyen, R., and Tsimhoni, O. 2006. Queueing network-model human processor (QN-MHP): A computational architecture for multitask performance. ACM Trans. Hum.-Compu. Interac. 13, 1, 37--70.

Digital Library

[62]

Liu, Y. L. 1996. Queuing network modeling of elementary mental processes. Psychol. Rev. 103, 1, 116--136.

[63]

Liu, Y. L. 1997. Queuing network modeling of human performance of concurrent spatial and verbal tasks. IEEE Trans. Syst. Man Cybernetics Part A-Syst Hum. 27, 2, 195--207.

Digital Library

[64]

Logan, G. D. 1982. On the ability to inhibit complex movements - a stop-signal study of typewriting. J. Exper. Psych.-Hum. Percept. Perform. 8, 6, 778--792.

[65]

McIntosh, A. R. 1999. Mapping cognition to the brain through neural interactions. Memory 7, 5-6, 523--548.

[66]

McIntosh, A. R. 2000. Towards a network theory of cognition. Neural Netw. 13, 8-9, 861--870.

Digital Library

[67]

Meyer, D. E. and Kieras, D. E. 1997a. A computational theory of executive cognitive processes and multiple-task performance.1. Basic mechanisms. Psychol. Rev. 104, 1, 3--65.

[68]

Meyer, D. E. and Kieras, D. E. 1997b. A computational theory of executive cognitive processes and multiple-task performance.2. Accounts of psychological refractory-period phenomena. Psychol. Rev. 104, 4, 749--791.

[69]

Mitz, A. R., Godschalk, M., and Wise, S. P. 1991. Learning-dependent neuronal-activity in the premotor cortex - activity during the acquisition of conditional motor associations. J. Neurosci. 11, 6, 1855--1872.

[70]

Murata, A. 1996. Empirical evaluation of performance models of pointing accuracy and speed with a PC mouse. Int. J. Hum.-Comp. Interact. 8, 4, 457--469.

Digital Library

[71]

Murdock, B. B. 1961. The retention of individual items. J. Exper. Psycho. 62, 618--625.

[72]

Mustovic, H., Scheffler, K., Di Salle, F., Esposito, F., Neuhoff, J. G., Hennig, J., and Seifritz, E. 2003. Temporal integration of sequential auditory events: silent period in sound pattern activates human planum temporale. Neuroimage, 20, 1, 429--434.

[73]

Nakamura, K., Sakai, K., and Hikosaka, O. 1998. Neuronal activity in medial frontal cortex during learning of sequential procedures. J. Neurophys. 80, 5, 2671--2687.

[74]

Nazir, T. A., Ben-Boutayab, N., Decoppet, N., Deutsch, A., and Frost, R. 2004. Reading habits, perceptual learning, and recognition of printed words. Brain Lang. 88, 3, 294--311.

[75]

Nazir, T. A., Decoppet, N., and Aghababian, V. 2003. On the origins of age-of-acquisition effects in the perception of printed words. Dev. Sci. 6, 2, 143--150.

[76]

Newell, A. 1973. You can't play 20 questions with nature and win. Projective comments on the papers of the symposium. In Visual Information Processing, Chase, W. G., ED., Academic Press, New York, NY.

[77]

Newell, A. 1990. Unified Theories of Cognition. Harvard University Press, Cambridge, MA.

Digital Library

[78]

Olson, J. R. and Olson, G. M. 1990. The growth of cognitive modeling in human-computer interaction since GOMS. Hum.-Comput. Interact. 5, 221--265.

Digital Library

[79]

Pearson, R. and van Schaik, P. 2003. The effect of spatial layout of and link colour in Web pages on performance in a visual search task and an interactive search task. Int. J. Hum.-Comput. Stud. 59, 3, 327--353.

Digital Library

[80]

Penfield, W. and Rasmussen, T. 1950. The Cerebral Cortex of Man: A Clinical Study of Localization of Function. Macmillar, New York, NY.

[81]

Petersen, S. E., Van Mier, H., Fiez, J. A., and Raichle, M. E. 1998. The effects of practice on the functional anatomy of task performance. Proc. Natl. Acad. Sci. 95, 3, 853--860.

[82]

Promodel. 2004. Promodel User Guide. Promodel Inc., Orem, UT.

[83]

Rayner, K. 1998. Eye movements in reading and information processing: 20 years of research. Psychol. Bull. 124, 3, 372--422.

[84]

Reinkensmeyer, D. J., Iobbi, M. G., Kahn, L. E., Kamper, D. G., and Takahashi, C. D. 2003. Modeling reaching impairment after stroke using a population vector model of movement control that incorporates neural firing-rate variability. Neural Comput. 15, 11, 2619--2642.

Digital Library

[85]

Roland, P. E. 1993. Brain activation. Wiley-Liss, New York, NY.

[86]

Rolls, E. T. 2000. Memory systems in the brain. Annu. Rev. Psychol. 51, 599--630.

[87]

Rothkopf, E. Z. 1980. Copying span as a measure of the information burden in written language. J. verbal learn. Verbal Behav. 19, 5, 562--572.

[88]

Rouse. 1980. Systems Engineering Models of Human-Machine Interaction. North Holland, New York.

[89]

Rudell, A. P. and Hu, B. 2001. Does a warning signal accelerate the processing of sensory information? Evidence from recognition potential responses to high and low frequency words. Int. J. Psychophysiol. 41, 1, 31--42.

[90]

Rumelhart, D. E. and Norman, D. A. 1982. Simulating a skilled typist - a study of skilled cognitive-motor performance. Cogn. Sci. 6, 1, 1--36.

[91]

Sadato, N., Ibanez, V., Campbell, G., Deiber, M. P., Lebihan, D., and Hallett, M. 1997. Frequency-dependent changes of regional cerebral blood flow during finger movements: Functional MRI compared to PET. J. Cereb. Blood Flow Metab. 17, 6, 670--679.

[92]

Sakai, K., Hikosaka, O., Miyauchi, S., Takino, R., Sasaki, Y., and Putz, B. 1998. Transition of brain activation from frontal to parietal areas in visuomotor sequence learning. J. Neurosci. 18, 5, 1827--1840.

[93]

Salthouse, T. 1983. Why is typing rate unaffected by age. Gerontologist 23, 68--68.

[94]

Salthouse, T. A. 1984a. Effects of age and skill in typing. J. Exp. Psychol. 113, 3, 345--371.

[95]

Salthouse, T. A. 1984b. The skill of typing. Sci. Am. 250, 2, 128--135.

[96]

Salthouse, T. A. 1985. Anticipatory processing in transcription typing. J. Appl. Psychol. 70, 2, 264--271.

[97]

Salthouse, T. A. 1986a. Perceptual, cognitive, and motoric aspects of transcription typing. Psychol. Bull. 99, 3, 303--319.

[98]

Salthouse, T. A. 1986b. Effects of practice on a typing-like keying task. Acta Psychol. 62, 2, 189--198.

[99]

Salthouse, T. A. and Saults, J. S. 1987. Multiple Spans in Transcription Typing. J. Appl. Psychol. 72, 2, 187--196.

[100]

Salvucci, D. D. 2005. A multitasking general executive for compound continuous tasks. Cogn. Sci. 29, 457--492.

[101]

Schmidt, R. A. 1988. Motor Control and Learning. Human Kinetics Publishers, Champaign, IL.

[102]

Schmuck, P. and WobkenBlachnik, H. 1996. Behavioral flexibility and working memory. Diagnostica 42, 1, 47--66.

[103]

Shaffer, L. H. 1975. Control processes in typing. Q. J. Exp. Psychol. 27, 419--432.

[104]

Smith, E. E. and Jonides, J. 1998. Neuroimaging analyses of human working memory. Proc. Natl. Acad. Sci. 95, 12061--12068.

[105]

Steyvers, M., Etoh, S., Sauner, D., Levin, O., Siebner, H. R., Swinnen, S. P., and Rothwell, J. C. 2003. High-frequency transcranial magnetic stimulation of the supplementary motor area reduces bimanual coupling during anti-phase but not in-phase movements. Exp. Brain Res. 151, 3, 309--317.

[106]

Tanaka, S. 1994. Numerical study of coding of the movement direction by a population in the motor cortex. Biol. Cybern. 71, 6, 503--510.

Digital Library

[107]

Taylor, J., Horwitzc, B., Shaha, N. J., Fellenzb, W. A., Mueller-Gaertnera, H.-W., and Krausee, J. B. 2000. Decomposing memory: functional assignments and brain traffic in paired word associate learning. Neural Netw. 13, 923--940.

Digital Library

[108]

Terzuolo, C. A., and Viviani, P. 1979. The central representation of learned motor patterns. In R. Talbot & D. R. Humphrey Eds., Posture and Movement, Raven Press, New York, NY.

[109]

Terzuolo, C. A., and Viviani, P. 1980. Determinants and characteristics of motor patterns used for typing. Neurosci. 5, 1085--1103.

[110]

Van Mier, H., Tempel, L. W., Perlmutter, J. S., Raichle, M. E., and Petersen, S. E. 1998. Changes in brain activity during motor learning measured with PET: Effects of hand of performance and practice. J. Neurophysio. 80, 4, 2177--2199.

[111]

Welford, A. T. 1968. Fundamentals of skill. Methuen, London, UK.

[112]

Wu, C. and Liu, Y. 2004. Modeling Psychological Refractory Period (PRP) and Practice Effect on PRP with Queuing Networks and Reinforcement Learning Algorithms. In Proceedings of the 6th International Conference on Cognitive Modeling (ICCMapos;04). Pittsburgh, PA, 320--325.

[113]

Wu, C., Zhang, K., and Hu, Y. 2003. Human performance modeling in temporary segmentation Chinese character handwriting recognizers. Int. J. Hum. Comput. Stud. 58, 483--508.

Digital Library

[114]

Wu, C. and Liu, Y. 2006a. Queuing network modeling of a real-time psychophysiological index of mental workload---P300 amplitude in event-related potential (ERP). In 50th Annual Conference of the Human Factors and Ergonomics Society. San Francisco, CA.

[115]

Wu, C. and Liu, Y. 2006b. Queuing network modeling of age differences in driver mental workload and performance. In 50th Annual Conference of the Human Factors and Ergonomics Society. San Francisco, CA.

[116]

Wu, C. and Liu, Y. 2006c. Queuing network modeling of driver workload and performance. In 50th Annual Conference of the Human Factors and Ergonomics Society. San Francisco, CA.

[117]

Wu, C. and Liu, Y. 2007. Queuing Network Modeling of Driver Workload and Performance. IEEE Trans. Intell. Transport. Sys. 8, 3, 528--537.

Digital Library

Cited By

Khan SDevlen CManno MHou D(2024)Mouse Dynamics Behavioral Biometrics: A SurveyACM Computing Surveys10.1145/364031156:6(1-33)Online publication date: 24-Jan-2024
https://dl.acm.org/doi/10.1145/3640311
Park JWozniak DZahabi M(2024)Modeling novice law enforcement officers’ interaction with in-vehicle technologyApplied Ergonomics10.1016/j.apergo.2023.104154114(104154)Online publication date: Jan-2024
https://doi.org/10.1016/j.apergo.2023.104154
Guo XLin HMa SYang ZLi H(2023)Effect of the predictive keyboard with magnification and protrusion on the bare-hand input in virtual realityMultimedia Tools and Applications10.1007/s11042-023-15071-z82:20(31821-31838)Online publication date: 17-Mar-2023
https://dl.acm.org/doi/10.1007/s11042-023-15071-z
Show More Cited By

Index Terms

Queuing Network Modeling of Transcription Typing
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Cognitive robotics
    2. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science
  2. Modeling and simulation
    1. Model development and analysis
2. Human-centered computing

Recommendations

How Can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain
Proceedings of the 8th International Conference on Artificial General Intelligence - Volume 9205

Cognitive modeling as a method has proven successful at reproducing and explaining human intelligent behavior in specific laboratory situations, but still struggles to produce more general intelligent capabilities. A promising strategy to address this ...
Typing dynamic typing

Even when programming in a statically typed language we every now and then encounter statically untypable values; such values result from interpreting values or from communicating with the outside world. To cope with this problem most languages include ...
On polymorphic gradual typing

We study an extension of gradual typing—a method to integrate dynamic typing and static typing smoothly in a single language—to parametric polymorphism and its theoretical properties, including conservativity of typing and semantics over both statically ...

Comments

Information & Contributors

Information

Published In

cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 15, Issue 1

May 2008

207 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/1352782

Issue’s Table of Contents

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 May 2008

Accepted: 01 October 2007

Revised: 01 February 2007

Received: 01 October 2005

Published in TOCHI Volume 15, Issue 1

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed

Funding Sources

National Science Foundation

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

48
Total Citations
View Citations
976
Total Downloads

Downloads (Last 12 months)24
Downloads (Last 6 weeks)1

Reflects downloads up to 14 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

Khan SDevlen CManno MHou D(2024)Mouse Dynamics Behavioral Biometrics: A SurveyACM Computing Surveys10.1145/364031156:6(1-33)Online publication date: 24-Jan-2024
https://dl.acm.org/doi/10.1145/3640311
Park JWozniak DZahabi M(2024)Modeling novice law enforcement officers’ interaction with in-vehicle technologyApplied Ergonomics10.1016/j.apergo.2023.104154114(104154)Online publication date: Jan-2024
https://doi.org/10.1016/j.apergo.2023.104154
Guo XLin HMa SYang ZLi H(2023)Effect of the predictive keyboard with magnification and protrusion on the bare-hand input in virtual realityMultimedia Tools and Applications10.1007/s11042-023-15071-z82:20(31821-31838)Online publication date: 17-Mar-2023
https://dl.acm.org/doi/10.1007/s11042-023-15071-z
Zhang YWu CQiao CSadek AHulme K(2022)A Cognitive Computational Model of Driver Warning Response Performance in Connected Vehicle SystemsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2021.313405823:9(14790-14805)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1109/TITS.2021.3134058
Hetzel LDudley JFeit AKristensson P(2021)Complex Interaction as Emergent Behaviour: Simulating Mid-Air Virtual Keyboard Typing using Reinforcement LearningIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310649427:11(4140-4149)Online publication date: Nov-2021
https://doi.org/10.1109/TVCG.2021.3106494
Wu CLiu Y(2021)MATHEMATICAL MODELING IN HUMAN–MACHINE SYSTEM DESIGN AND EVALUATIONHANDBOOK OF HUMAN FACTORS AND ERGONOMICS10.1002/9781119636113.ch26(685-703)Online publication date: 13-Aug-2021
https://doi.org/10.1002/9781119636113.ch26
Wang DCao SLiu XTang TLiu HRan LWang XNiu J(2019)The virtual infantry soldier: integrating physical and cognitive digital human simulation in a street battle scenarioThe Journal of Defense Modeling and Simulation: Applications, Methodology, Technology10.1177/1548512919869556(154851291986955)Online publication date: 21-Aug-2019
https://doi.org/10.1177/1548512919869556
Dhakal VFeit AKristensson POulasvirta AMandryk RHancock MPerry MCox A(2018)Observations on Typing from 136 Million KeystrokesProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174220(1-12)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3174220
Jeong HLiu Y(2018)Computational Modeling of Touchscreen Drag Gestures Using a Cognitive Architecture and Motion TrackingInternational Journal of Human–Computer Interaction10.1080/10447318.2018.146685835:6(510-520)Online publication date: 30-Apr-2018
https://doi.org/10.1080/10447318.2018.1466858
Deng CWu CCao SLyu N(2018)Modeling the effect of limited sight distance through fog on car-following performance using QN-ACTR cognitive architectureTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2017.12.017Online publication date: Feb-2018
https://doi.org/10.1016/j.trf.2017.12.017
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Issue’s Table of Contents