References
- Banks, W.W., and Weimer, J., (1992). Effective Computer Display Design, Prentice Hall, NY.
- Ben-Shachar, M., Palti, D., and Grodzinsky, Y., (2004). "Neural correlates of syntactic movement: converging evidence from two fMRI experiments." NeuroImage, 21(4), 1320-1336. https://doi.org/10.1016/j.neuroimage.2003.11.027
- Beck, M.R., Lohrenz, M.C., & Trafton, J.G. (2010). Measuring search efficiency in complex visual search tasks: Global and local clutter. Journal of Experimental Psychology: Applied, 16(3), 238-250 https://doi.org/10.1037/a0019633
- Bertin, J., (2011). Semiology of Graphics: Diagrams, Networks, Maps. ESRI Press, Redlands, CA.
- Bonebright, T.L., Nees, M.A., Connerly, T.T., and McCain, G.R. (2001). "Testing the effectiveness of sonified graphs for education: A programmatic research project." Proceedings of the International Conference on Auditory Display (ICAD2001), Espoo, Finland. 62-66.
- Brennan, J. and Pylkkanen, L., (2012). "The time-course and spatial distribution of brain activity associated with sentence processing." NeuroImage, 60: 1139-1148. https://doi.org/10.1016/j.neuroimage.2012.01.030
- Brennan, J., and Pylkkanen, L., (1988). "Behavioural and MEG Measures of Two Different Types of Semantic Complexity." Language and Cognitive Processes, vol. 25, no. 6, pp. 777-807, 2010 https://doi.org/10.1080/01690961003616840
- Burleson, B.R., and Waltman, M.S. (1988). "Cognitive complexity: Using the Role Category Questionnaire measure." In C. H. Tardy (Ed.), A handbook for the study of human communication: Methods and instruments for observing, measuring, and assessing communication processes (pp. 1-35). Norwood, NJ: Ablex.
- Caplan, D., Vijayan, S., Kuperberg, G., West, C., Waters, G., Greve, D, (2002). "Vascular responses to syntactic processing: Event-related fMRI study of relative clauses." Human Brain Mapping, 15(1), 26-38. https://doi.org/10.1002/hbm.1059
- Cummings, M.L., Sasangohar, F., Thornburg, K.M., Xing, J. and D'Agostino, A. (2010). "Human-System Interface Complexity and Opacity. Part I: Literature Review." NRC Report. Massachusetts Institute of Technology.
- Faichney, J. (2004), Content-based retrieval of digital video. Doctoral thesis, Griffith University.
- Ferreira, F., and Clifton Jr., C. (1986). "The Independence of Syntactic Processing." Journal of Memory and Language, 25(3), 348-368 https://doi.org/10.1016/0749-596X(86)90006-9
- Frazier, L. and Fodor, J.D. (1978) "The sausage machine: A new two stage parsing Model". Cognition, Volume 6 pp 291-325. https://doi.org/10.1016/0010-0277(78)90002-1
- Gennari, S. and Poeppel, D. (2003). Processing correlates of lexical semantic complexity, Cognition, 89(1), B27-41. https://doi.org/10.1016/S0010-0277(03)00069-6
- Gertman, D. (2012). "Complexity: Application to Human Performance Modeling and HRA for Dynamic Environments," Proceedings for Instrumentation Control and Intelligent Systems (ICIS), Salt Lake City UT.
- Gibson, E. (1998). "Linguistic complexity: Locality of syntactic dependencies." Cognition, 68, 1-76. https://doi.org/10.1016/S0010-0277(98)00034-1
- Gilmore, W. E., Gertman, D.I., and Blackman, H.S. (1989). The User-Computer Interface in Process Control, Academic Press, San Diego.
- Heise, D. R. (1965). "Semantic differential profiles for 1,000 most frequent English words." Psychological Monographs, 70 8:
- Liu, Xiaofei (2010). Automatic analysis of syntactic complexity in second language writing. International Journal of Corpus Linguistics, 15(4):474-496. https://doi.org/10.1075/ijcl.15.4.02lu
- Lohrenz, M.C., Trafton, J.G., Beck., M.R., and Gendron, M.L: (2009). "A model of clutter for complex multivariate, geospatial displays." Human Factors, 51(1) 90-101. https://doi.org/10.1177/0018720809333518
- Mack, M. L., and Oliva, A. (2004). "Computational estimation of visual complexity". Paper presented at the 12th Annual Object, Perception, Attention, and Memory Conference. Minneapolis, Minnesota.
- Nees, M.A. and Walker, B.N., (2008). "Data density and trend reversals in auditory graphs: Effects on point-estimation and trend-identification tasks". ACM Transactions. Appl. Percpt. 5, 3, Article 13 (August 2008), 24 pages. DOI.
- Ngo, D.C.L. and Byrne, J.G.,(2001). "Another look at a model for evaluating interface aesthetics." International Journal of Applied Mathematics and Computer Science. Vol.11, No.2, 515-535.
- Reddy, L. and VanRullen, R. (2007). "Spacing affects some but not all visual searches: Implications of theories of attention and crowding." Journal of Vision, 7(2), 1-17.
- Rosenholtz, R., (2000). "Significantly different textures: A computational model of pre-attentive texture." ECCV.
- Rosenholtz, R., Li, Y., and Nakano, L., (2007). "Measuring Visual Clutter," Journal of Vision, 2007, 7(2):17, 1-22
- Sanderson, P.M., Flach, J.M., Buttigieg, M.A., and Casey, E. J., (1989). "Object displays do not always support better integrated task performance." Human Factors, 31, 2, 183- 198. https://doi.org/10.1177/001872088903100207
- Shepard, R. N. and Cooper, L.A. (1982). Mental images and their transformations. Cambridge, MA/London, England: MIT Press.
- Tufte, E.R., (2001). Visual display of quantitative information (2nd Ed). Graphics Press.
- Walker, G.H., Stanton, N.A., Salmon, P.M., Jenkins, D.P. and Rafferty, L. (2010). "Translating concepts of complexity to the field of ergonomics." Ergonomics, 53(10), 1175 - 1186. https://doi.org/10.1080/00140139.2010.513453
- Ware, C. (2000) Information Visualization: Perception in Design. Morgan Kauffmann, NY: NY,
- Webb, N.L., 1999, Alignment Between Standards and Assessment, University of Wisconsin Centre for Educational Research.
- Xing, J. (2004). Measures of Information Complexity and the Implications for Automation Design. FAA Civil Aerospace Medical Institute. DOT/FAA/AM-04/17.