Abstract
This chapter presents a brief overview of theories and concepts that ar some well-established and widely used cognitive architectures, such as ACT-R (Anderson et al (2004) Psychol Rev 111(4):1036–1060; Anderson (2007) How can the human mind occur in the physical universe? Oxford series on cognitive models and architectures. Oxford University Press, Oxford) and SOAR (Laird (2012) Soar cognitive architecture. MIT Press, Cambridge). These are computational attempts to model cognition for general and complete tasks rather than for single, small tasks. This chapter also reviews the most known and used cognitive models, KLM and GOMS, which are computational models used for simulations of human performance and behavior (Ritter et al (2000) ACM Trans Comput-Hum Interact 7(2):141–173. https://doi.org/10.1145/353485.353486). We will show how some cognitive architectures that originated within artificial intelligence (AI) have been developed to cover aspects of cognitive science, and vice versa. The relevance of the cognitive approach to HCI can be seen in the successful use of cognitive models in the HCI community to evaluate designs, assist users’ interactions with computers, and substitute users in simulations (Ritter et al (2000) ACM Trans Comput-Hum Interact 7(2):141–173. https://doi.org/10.1145/353485.353486).
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References
Anderson, J.R.: This week’s citation classic. Current Contents (52), 91 (1979). http://garfield.library.upenn.edu/classics1979/A1979HX09600001.pdf
Anderson, J.R., Bothell, D., Byrne, M.D., Douglass, S., Lebiere, C., Qin, Y.: An integrated theory of the mind. Psychol. Rev. 111(4), 1036–1060 (2004)
Anderson, J.R., Lebiere, C.: The newell test for a theory of cognition. Behav. Brain Sci. 26(5), 587–601 (2003)
Anderson, J.R.J.R.: The Adaptive Character of Thought. Studies in Cognition. L. Erlbaum Associates, Hillsdale (1990)
Anderson, J.R.J.R.: How Can the Human Mind Occur in the Physical Universe? Oxford Series on Cognitive Models and Architectures. Oxford University Press, Oxford (2007)
Borst, J.P., Anderson, J.R.: A step-by-step tutorial on using the cognitive architecture ACT-R in combination with fmRI data. J. Math. Psychol. 76, 94–103 (2017)
Byrne, M.D., Anderson, J.R.: Serial modules in parallel: the psychological refractory period and perfect time-sharing. Psychol. Rev. 108(4), 847–869 (2001)
Card, S., Moran, T., Newell, A.: The keystroke-level model for user performance time with interactive systems. Commun. ACM 23(7), 396–410 (1980)
Card, S.K., Newell, A., Moran, T.P.: The Psychology of Human-Computer Interaction. L. Erlbaum Associates Inc., USA (1983)
Stires, D.M., Murphy, M.M.: PERT (Program Evaluation and Review Technique) CPM (Critical Path Method). Materials Management Inst., Boston (1962)
Hélie, S., Sun, R.: Incubation, insight, and creative problem solving: a unified theory and a connectionist model. Psychol. Rev. 117(3), 994–1024 (2010)
John, B.E., Kieras, D.E.: The goms family of user interface analysis techniques: comparison and contrast. ACM Trans. Comput.-Hum. Interact. 3(4), 320–351 (1996). https://doi.org/10.1145/235833.236054
Jones, R.M., Laird, J.E., Nielsen, P.E., Coulter, K.J., Kenny, P., Koss, F.V.: Automated intelligent pilots for combat flight simulation. AI Mag. 20(1), 27 (1999). https://www.aaai.org/ojs/index.php/aimagazine/article/view/1438
Kennedy, W.G., Afb, W.P.: Modeling intuitive decision making in ACT-R (2012)
Kieras, D., Marshall, S.P.: Visual availability and fixation memory in modeling visual search using the epic architecture (2006). http://www.escholarship.org/uc/item/8xq582jf
Kieras, D.E., Wakefield, G.H., Thompson, E.R., Iyer, N., Simpson, B.D.: Modeling two-channel speech processing with the epic cognitive architecture. Top. Cogn. Sci. 8(1), 291–304 (2016)
Kieras, D.E., Meyer, D.E.: An overview of the epic architecture for cognition and performance with application to human-computer interaction. Hum.-Comput. Interact. 12(4), 391–438 (1997). https://doi.org/10.1207/s15327051hci1204_4
Kotseruba, I., Tsotsos, J.: A review of 40 years of cognitive architecture research: core cognitive abilities and practical applications. arXiv.org (2018). http://search.proquest.com/docview/2071239777/
Laird, J.E.: Preface for special section on integrated cognitive architectures. SIGART Bull. 2(4), 12–13 (1991). https://doi.org/10.1145/122344.1063801
Laird, J.E., Lebiere, C., Rosenbloom, P.S.: A standard model of the mind: toward a common computational framework across artificial intelligence, cognitive science, neuroscience, and robotics. AI Mag. 38(4), 13–26 (2017)
Laird, J.E., Newell, A., Rosenbloom, P.S.: Soar: an architecture for general intelligence. Artif. Intell. 33(1), 1–64 (1987)
Laird, J.E.J.L.: Soar Cognitive Architecture. MIT Press, Cambridge (2012)
Lebiere, C.: The dynamics of cognition: an ACT-R model of cognitive arithmetic. Kognitionswissenschaft 8(1), 5–19 (1999). https://doi.org/10.1007/BF03354932
Marr, D.: Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. Freeman, New York (1982)
Meyer, D.E., Kieras, D.E.: A computational theory of executive cognitive processes and multiple-task performance: Part 1. Basic mechanisms. Psychol. Rev. 104(1), 3–65 (1997)
Möbus, C., Lenk, J.C., Özyurt, J., Thiel, C.M., Claassen, A.: Checking the ACT-R/brain mapping hypothesis with a complex task: using fmRI and Bayesian identification in a multi-dimensional strategy space. Cogn. Syst. Res. 12(3–4), 321–335 (2011)
Newell, A., Simon, H.: GPS, a Program That Simulates Human Thought. McGraw-Hill, New York (1963)
Newell, A.: You Can’t Play 20 Questions with Nature and Win: Projective Comments on the Papers of This Symposium, pp. 283–308. Academic, New York (1973)
Newell, A.: Physical symbol systems. Cogn. Sci. 4(2), 135–183 (1980)
Newell, A.: Unified Theories of Cognition. Harvard University Press, USA (1990)
Oh, H., Jo, S., Myung, R.: Computational modeling of human performance in multiple monitor environments with ACT-R cognitive architecture. Int. J. Indus. Ergon. 44(6), 857–865 (2014)
Paik, J., Pirolli, P.: ACT-R models of information foraging in geospatial intelligence tasks (report). Comput. Math. Organ. Theory 21(3), 274–295 (2015)
Ritter, F.E., Baxter, G.D., Jones, G., Young, R.M.: Supporting cognitive models as users. ACM Trans. Comput.-Hum. Interact. 7(2), 141–173 (2000). https://doi.org/10.1145/353485.353486
Ritter, F.E., Tehranchi, F., Oury, J.D.: ACT-R: a cognitive architecture for modeling cognition. WIREs Cogn. Sci. 10(3), e1488 (2019). https://doi.org/10.1002/wcs.1488
Rosenbloom, P.S., Laird, J.E., Newell, A., Mccarl, R.: A preliminary analysis of the soar architecture as a basis for general intelligence. Artif. Intell. 47(1–3), 289–325 (1991)
Rumelhart, D.E., McClelland, J.L.: Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Vol.1, Foundations. Computational Models of Cognition and Perception. MIT Press, Cambridge, MA (1986)
Salvucci, D.D.: Modeling driver behavior in a cognitive architecture. Hum. Factors 48(2), 362–380 (2006). https://search.proquest.com/docview/216466223?accountid=17256, copyright – Copyright Human Factors and Ergonomics Society Summer 2006; Document feature – Illustrations; Equations; Charts; Tables; Graphs; Last updated – 2017-11-09; CODEN – HUFAA6
Salvucci, D.D.: Rapid prototyping and evaluation of in-vehicle interfaces. ACM Trans. Comput.-Hum. Interact. 16(2) (2009). https://doi.org/10.1145/1534903.1534906
Salvucci, D.D., Lee, F.J.: Simple cognitive modeling in a complex cognitive architecture. In: Human Factors in Computing Systems: CHI 2003 Conference Proceedings, pp. 265–272. ACM Press (2003)
Sun, R., Hélie, S.: Psychologically realistic cognitive agents: taking human cognition seriously. J. Exp. Theor. Artif. Intell. 25(1), 65–92 (2013). https://doi.org/10.1080/0952813X.2012.661236
Sun, R., Merrill, E., Peterson, T.: From implicit skills to explicit knowledge: a bottom-up model of skill learning. Cogn. Sci. 25(2), 203–244 (2001)
Sun, R., Zhang, X.: Accounting for a variety of reasoning data within a cognitive architecture. J. Exp. Theor. Artif. Intell. 18(2), 169–191 (2006). https://doi.org/10.1080/09528130600557713
Taatgen, N., Anderson, J.R.: The past, present, and future of cognitive architectures. Top. Cogn. Sci. 2(4), 693–704 (2010). https://doi.org/10.1111/j.1756-8765.2009.01063.x
Wiiliams, N., Li, S.: Simulating human detection of phishing websites: an investigation into the applicability of ACT-R cognitive behaviour architecture model (2017)
Zhang, Z., Russwinkel, N., Prezenski, S.: Modeling individual strategies in dynamic decision-making with ACT-R: a task toward decision-making assistance in HCI. Proc. Comput. Sci. 145, 668–674 (2018)
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Yuan, H., Li, S., Rusconi, P. (2020). Cognitive Approaches to Human Computer Interaction. In: Cognitive Modeling for Automated Human Performance Evaluation at Scale . Human–Computer Interaction Series(). Springer, Cham. https://doi.org/10.1007/978-3-030-45704-4_2
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