Peter Cheng & RepSys Lab— Selected Publications

Cheng, P. C.-H. (2020). A sketch of a theory and modelling notation for elucidating the structure of representations. In A. Pietarinen, P. Chapman, L. Bosveld-de Smet, V. Giardino, J. Corter, & S. Linker (Eds.), Diagrammatic Representation and Inference. Diagrams 2020. Lecture Notes in Computer Science, vol 12169. Cham: Springer.    Video summary

Cheng, P. C.-H., & Albehaijan, N. (2020). Some determinants of chunk size in sequential behavior: individual differences in the transcription of alphanumeric strings. In S. Denison, M. Mack, Y. Xu, & B. C. Armstrong (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 1164-1170). Austin, TX: Cognitive Science Society.  Video summary

Raggi, D., Stockdill, A., Jamnik, M., Garcia Garcia, G., Sutherland, H. E. A., & Cheng, P. C. H. (2020). Dissecting Representations. In A.-V. Pietarinen, P. Chapman, L. Bosveld-de Smet, V. Giardino, J. Corter, & S. Linker (Eds.), Diagrammatic Representation and Inference (pp. 144-152). Cham: Springer.

Stockdill, A., Raggi, D., Jamnik, M., Garcia, G. G., Sutherland, H. E. A., Cheng, P. C., & Sarkar, A. (2020). Correspondence-based analogies for choosing problem representations. In 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) (pp. 1-5).

Stockdill, A., Raggi, D., Jamnik, M., Garcia, G. G., Sutherland, H. E. A., Cheng, P. C.-H., & Sarkar, A. (2020). Cross-domain Correspondences for Explainable Recommendations. In ExSS-ATEC’20, http://ceur-ws.org/Vol-2582/paper4.pdf.

Cheng, P. C.-H. (2019). Truth Diagrams versus extant notations for propositional logic. Journal of Language, Logic and Information, 1-41. doi.org/10.1007/s10849-019-09299-y

Garcia-Garcia, G., Grau, R., Aldrich, F., & Cheng, P. C.-H. (2019). MIDAS: Multi-touch interaction data analysis system. Behavior research methods, 1-25. doi:doi.org/10.3758/s13428-019-01279-1

Albehaijan, N., & Cheng, P. C.-H. (2019). Measuring programming competence by assessing chunk structures in a code transcription task. In A. Goel, C. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 76-82). Austin, TX: Cognitive Science Society.

Raggi, D., Stockdill, A., Jamnik, M., Garcia Garcia, G., Sutherland, H. E. A., & Cheng, P. C.-H. (2019). Inspection and selection of representations. In C. Kaliszyk, E. Brady, A. Kohlhase, & C. Sacerdoti Coen (Eds.), Intelligent Computer Mathematics - CICM 2019, Lecture Notes in Computer Science, vol 11617. (pp. 227-242). Berlin: Springer.

Cheng, P. C.-H. (2018). Sets For Foundational Representations? A Design Case Study With Probability And Distributions. In Y.Sata & Z.Shams (Eds.), Proceedings of International Workshop on Set Visualization and Reasoning (SetVR 2018) (Vol. 2116, pp. 1-11). Aarchen, Germany: CEUR Workshop Proceedings.

Cheng, P. C.-H., & van Genuchten, E. (2018). Combinations of simple mechanisms explain diverse strategies in the free-hand writing of memorised sentences. Cognitive Science, 42, 1070–1109. doi:10.1111/cogs.12606

Obaidellah, U., Haek, M. A., & Cheng, P. C.-H. (2018). A Survey on the Usage of Eye-Tracking in Computer Programming. ACM Computing Surveys, 51(1), 1-58. doi:10.1145/3145904

Peebles, D. J., & Cheng, P. C.-H. (2017). Multiple representations in cognitive architectures. In J. Laird & S. Rosenbloom (Eds.), AAAI Fall Symposium 2017: "A Standard Model of the Mind". Washington: AAAI.

Cheng, P. C-H (2016).
What constitutes an effective representation? In: Jamik, M., Uesaka, Y. and Schwartz, S. (eds.) Diagrammatic Representation and Inference: 9th International Conference, Diagrams 2016. Lecture notes in artificial intelligence (9781). Springer, Heidelberg, Germany, pp. 17-31.  DOI: 10.1007/978-3-319-42333-3_2

Cheng, P. C-H. (2015). Analyzing chunk pauses to measure mathematical competence: Copying equations using ‘centre-click’ interaction. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society (pp.345-350). Austin, TX: Cognitive Science Society.

Obaidellah, U.H., & Cheng, P.C-H. (2015). The role of chunking in drawing Rey Complex Figure. Perceptual & Motor Skills: Perception, 120(2), 535-555. 

Cheng, P.C-H. (2014). Graphical notations for syllogisms: How alternative representations impact the accessibility of concepts. Journal of Visual Languages and Computing, 25, 170-185. doi: http://dx.doi.org/10.1016/j.jvlc.2013.08.008.

Cheng, P. C-H. (2014). Copying equations to assess mathematical competence: An evaluation of pause measures using graphical protocol analysis. In P. Bello, M. Guarini, M. McShane & B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (pp. 319-324). Austin, TX: Cognitive Science Society.

Roller, R., & Cheng, P. C-H. (2014). Observed strategies in the freehand drawing of complex hierarchical diagrams. In P. Bello, M. Guarini, M. McShane & B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (pp. 2020-2025). Austin, TX: Cognitive Science Society.

Cheng, P.C-H. (2014). Beyond Beck: Design of schematic maps from (Representational Epistemic) first principles. Paper presented at the Schematic Mapping Workshop 2014, University of Essex. https://sites.google.com/site/schematicmapping/program

Grau, R.R., & Cheng, P.C-H. (2013). The Support of Higher-level Cognition in the Context of Ill structured Process Knowledge. Paper presented at the 2nd Annual Conference on Advances in Cognitive Systems: Poster collection Baltimore, MD, USA.

Cheng, P. C.-H. (2012). Algebra Diagrams: A HANDi Introduction. In B. Plimmer & P. Cox (Eds.), Diagrammatic Representation and Inference (pp. 178-192). Berlin: Springer-Verlag.

Cheng, P. C.-H. (2012). Visualizing Syllogisms:  Category Pattern Diagrams versus Venn Diagrams. In P. Chapman & L. Micallef (Eds.), Euler Diagrams 2012: Proc. 3rd International Workshop on Euler Diagrams, Canterbury, UK, July, 2, 2012 (pp. 32-46): CEUR-WS.org, online http://ceur-ws.org/Vol-854/paper3.pdf.

Cheng, P. C.-H. (2012). Truth diagrams: an overview. In P. Cox, B. Plimmer & P. Rodgers (Eds.), Diagrammatic Representation and Inference: 7th International Conference on DIagrams 2012 (pp. 309-911). Berlin: Springer-Verlag.

Cheng, P. C.-H. (2011). Probably good diagrams for learning: Representational epistemic re-codification of probability theory Topics in Cognitive Science 3(3), 475-498. doi: 10.1111/j.1756-8765.2009.01065.x

van Genuchten, E., & Cheng, P. C.-H. (2010). Temporal chunk signal reflecting five hierarchical levels in writing sentences. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Meeting of the Cognitive Science Society (pp. 1922-1927). Austin, TX: Cognitive Science Society.

van Genuchten, E., & Cheng, P. C. H. (2009). Missing working memory deficit in dyslexia: children writing from memory. In N. Taatgen & H. v. Rijn (Eds.), Proceedings of the Thirty-first Annual Conference of the Cognitive Science Society (pp. 1674-1679). Austin, TX: Cognitive Science Society.

Obaidellah, U. H., & Cheng, P. C. H. (2009). Graphical production of complex abstract diagrams: drawing out chunks and schemas. In N. Taatgen & H. v. Rijn (Eds.), Proceedings of the Thirty-first Annual Conference of the Cognitive Science Society (pp. 2843-2848). Austin, TX: Cognitive Science Society.

Kent, R., & Cheng, P. C. H. (2008). Expertise in a Map Reading Task: The Role of Schemas in the Processing of Topographical Relief Information. In B. C. Love, K. McRae & V. M. Sloutsky (Eds.), Proceedings of the Thirtieth Annual Conference of the Cognitive Science Society (pp. 2298-2303). Austin, TX: Cognitive Science Society.

Ranson, D., & Cheng, P. C.-H. (2008). VAST Improvements to Diagrammatic Scheduling using Representational Epistemic Interface Design. In G. Stapleton, J. Howse & J. Lee (Eds.), Diagrammatic Representation and Inference, Lecture Notes in Aritificial Intelligence 5223 (pp. 141-155). Berlin: Springer

Cheng, P. C. H., & Rojas-Anaya, H. (2008). A Graphical Chunk Production Model: Evaluation Using Graphical Protocol Analysis with Artificial Sentences. In B. C. Love, K. McRae & V. M. Sloutsky (Eds.), Proceedings of the Thirtith Annual Conference of the Cognitive Science Society (pp. 1972-1977). Austin, TX: Cognitive Science Society.

Cheng, P. C. H., & Rojas-Anaya, H. (2007). Measuring Mathematical Formula Writing Competence: An Application of Graphical Protocol Analysis. In D. S. McNamara & J. G. Trafton (Eds.), Proceedings of the Twenty Nineth Annual Conference of the Cognitive Science Society (pp. 869-874). Austin, TX: Cognitive Science Society.

Cheng, P. C.-H., & Barone, R. (2007). Representing complex problems: A representational epistemic approach. In D. H. Jonassen (Ed.), Learning to solve complex scientific problems. (pp. 97-130). Mahmah, N.J.: Lawrence Erlbaum Associates.

Cheng, P. C. H., & Rojas-Anaya, H. (2006). A temporal signal reveals chunk structure in the writing of word phrases. In Proceedings of the Twenty Eighth Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum.

Wood, S., Cox, R., & Cheng, P. C.-H. (2006). Attention Design: Eight issues to consider. Computers in Human Behaviour, 22(4), 588-602.

Cheng, P. C. H., & Rojas-Anaya, H. (2005). Writing out a temporal signal of chunks: patterns of pauses reflect the induced structure of written number sequences. In B. G. Bara, L. Barsalou & M. Bucciarelli (Eds.), Proceedings of the Twenty Seventh Annual Conference of the Cognitive Science Society (pp. 424-429). Mahwah, NJ: Lawrence Erlbaum.

Barone, R., & Cheng, P. C.-H. (2004). Representations for problem solving: on the benefits of integrated structure. In E. Banissi, K. Börner, C. Chen, et al. (Eds.), Proceedings of the 8th International Conference on Information Visualisation (pp. 575-580). Los Alamitos, CA: IEEE.

Peebles, D. J., & Cheng, P. C.-H.  (2003). Modelling the effect of task and graphical representations on response latencies in a graph-reading task. Human factors 45(1).

Cheng, P. C.-H., & Shipstone, D. M. (2003). Supporting learning and promoting conceptual change with box and AVOW diagrams. Part 1: Representational design and instructional approaches. International Journal of Science Education, 25(2), 193-204.

Cheng, P. C.-H., & Shipstone, D. M. (2003). Supporting learning and promoting conceptual change with box and AVOW diagrams. Part 2: Their impact on student learning at A-level. International Journal of Science Education, 25(3), 291-305.

Cheng, P. C. H. (2003). Diagrammatic re-codification of probability theory: A representational epistemological study. In Proceedings of the Twenty Fifth Annual Conference of the Cognitive Science Society. Mahwah, NJ: Lawrence Erbaum.

Cheng, P. C.-H., & Pitt, N. G. (2003). Diagrams for difficult problems in probability. Mathematical Gazette, 87(508), 86-97.

Cheng, P. C.-H. (2002). Electrifying diagrams for learning: principles for effective representational systems. Cognitive Science, 26(6), 685-736.

Katz, I. R., Xi, X., Kim, H.-J., & Cheng, P. C. H. (2002). Graph Structure Supports Graph Description. In W. Gray & C. Schunn (Eds.), Proceedings of the Twenty Fourth Annual Conference of the Cognitive Science Society (pp. 530-535). Mahwah, NJ: Lawrence Erbaum.

Peebles, D. J., & Cheng, P. C.-H. (2002). Extending task analytic model of graph-based reasoning: A cognitive model of problem solving with Cartesian graphs in ACT-R/PM. Journal of Cognitive Systems Research, 2, 77-86.

Cheng, P. C.-H., Barone, R., Cowling, P. I., & Ahmadi, S. (2002). Opening the information bottleneck in complex scheduling problems with a novel representation: STARK diagrams. In M. Hegarty, B. Meyer & N. H. Narayanan (Eds.), Diagrammatic representations and inference: Second International Conference, Diagrams 2002 (pp. 264-278). Berlin: Springer-Verlag.

Cowling, P. I., Ahmadi, S., Cheng, P. C.-H., & Barone, R. (2002). Combining human and machine intelligence to produce effective examination timetables. In  L.Wang, K. Tan,  C. Furuhashi., J-H  Kim, and X. Yao (Eds.), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL2002), Singapore; (pp 662-666). (ISBN 981-04-7523-3).

Shipstone, D. M., & Cheng, P. C.-H. (2002). Electric circuits: A new approach - part 2. School Science Review, 83(304), 73-81.

Shipstone, D. S., & Cheng, P. C.-H. (2001). Electric circuits: A new approach - part 1. School Science Review, 83(303), 55-63.

Cheng, P. C.-H., McFadzean, J., & Copeland, L. (2001). Drawing out the temporal structure of induced perceptual chunks. In J. D. Moore & K. Stenning (Eds.), Proceedings of the Twenty Third Annual Conference of the Cognitive Science Society (pp. 200-205). Mahwah, New Jersey: Lawrence Erbaum.

Cheng, P. C.-H. (2001). Artificial intelligence: scientific reasoning, computational models. In N. J. Smelser & P. B. Baltes (Eds.), International Encyclopedia of the Social and Behavioral Sciences (pp. 13731-13733): Elsevier.

Cheng, P. C.-H. (2001). AVOW Diagrams: A Novel Representational System for Understanding Electricity. In M. Anderson, B. Meyer & P. Olivier (Eds.), Diagrammatic Representation and Reasoning (pp. 512-534). Berlin: Springer.

Peebles, D. J., & Cheng, P. C.-H. (2001). Graph-based reasoning: from task analysis to cognitive explanation. In J. D. Moore & K. Stenning (Eds.), Proceedings of the Twenty Third Annual Conference of the Cognitive Science Society (pp. 762-767). Mahwah, NJ: Lawrence Erbaum.

Cheng, P. C.-H., Cupit, J., & Shadbolt, N. R. (2001). Supporting diagrammatic knowledge acquisition: An ontological analysis of Cartesian Graphs. International Journal of Human Computer Studies, 54, 457-494.

Cheng, P. C.-H., Lowe, R. K., & Scaife, M. (2001). Cognitive science approaches to diagrammatic representations. Artificial Intelligence Review, 15(1-2), 79-94. Anderson, M., Cheng, P. C.-H., & Haarslev, V. (Eds.). (2000). Theory and Application of Diagrams: First International Conference, Diagrams 2000. Berlin: Springer.

Gobet, F., Lane, P. C. R., Croker, S., Cheng, P. C.-H., Jones, G., Oliver, I., et al. (2001). Chunking mechanisms in human learning. Trends in Cognitive Science, 5(6), 236-243.

Lane, P., Cheng, P. C.-H., & Gobet, F. (2000). CHREST+: Investigating how humans learn to solve problems using diagrams. AISB Quarterly, 103, 24-30.

Lane, P., Gobet, F., & Cheng, P. C.-H. (2000). Leaning-based constraints on schemata. In L. R. Gleitman & A. K. Joshi (Eds.), Proceedings of the 22nd Annual Conference of the Cognitive Science Society (pp. 776-781). Mahwah, NJ: Lawrence Erlbaum.

Cheng, P. C.-H. (1999). Unlocking conceptual learning in mathematics and science with effective representational systems. Computers in Education, 33(2-3), 109-130.

Cheng, P. C.-H. (1999). Interactive law encoding diagrams for learning and instruction. Learning and Instruction, 9(4), 309-326.

Cheng, P. C.-H. (1999). Networks of Law Encoding Diagrams for understanding science. European Journal of Psychology of Education, 14(2), 167-184. (Tables and Figures)

Cheng, P. C.-H. (1999). (Part a, b, c) Representational analysis and design: What makes an effective representation for learning probability theory? (Technical report No. 65): ESRC Centre for Research in Development, Instruction & Training. 

Lane, P. C. R., Cheng, P. C.-H., & Gobet, F. (1999). Learning perceptual schemas to avoid the utility problem. In M.Bramer, A.Macintosh & F.Coenen (Eds.), Research and Development in Intelligent Systems XVI: Proceedings of ES99, the Nineteenth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence (pp. 72-82). Cambridge, UK: Springer.

Peebles, D. J., Cheng, P. C.-H., & Shadbolt, N. R. (1999). Multiple processes in graph-based reasoning. In M. Hahn & S. C. Stoness (Eds.), Proceedings of the Twenty First Annual Conference of the Cognitive Science Society (pp. 531-536). Hillsdale, NJ: Lawrence Erlbaum.

Cheng, P. C.-H. (1998). A framework for scientific reasoning with Law Encoding Diagrams: Analysing protocols to assess its utility. In M. A. Gernsbacher & S. J. Derry (Eds.), Proceedings of the Twentieth Annual Conference of the Cognitive Science Society (pp. 232-235). Hillsdale, NJ: Lawrence Erlbaum.

Cheng, P. C.-H. (1997). Components of a Cognitive Theory of Problem Solving and Discovery with Law Encoding Diagrams. In M. Anderson (Ed.), Reasoning with Diagrammatic Representations: Papers from the 1997 Fall Symposium (pp. 85-93). Menlo Park, CA: AAAI.

Cheng, P. C.-H. (1996). Scientific discovery with law encoding diagrams. Creativity Research Journal, 9(2&3), 145-162.

Cheng, P. C.-H. (1996). Law encoding diagrams for instructional systems. Journal of Artificial Intelligence in Education, 7(1), 33-74.

Cheng, P. C.-H. (1996). Diagrammatic knowledge acquisition: Elicitation, analysis and issues. In N. R. Shadbolt, H. O'Hara & G. Schreiber (Eds.), Advances in Knowledge Acquisition: 9th European Knowledge Acquisition Workshop, EKAW'96. (pp. 179-194). Berlin: Springer-Verlag.

Cheng, P. C.-H. (1996). Learning qualitative relations in physics with Law Encoding Diagrams. In G. W. Cottrell (Ed.), Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (pp. 512-517). Hillsdale, NJ: Lawrence Erlbaum.

Cheng, P. C.-H. (1996). Functional roles for the cognitive analysis of diagrams in problem solving. In G. W. Cottrell (Ed.), Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (pp. 207-212). Hillsdale, NJ: Lawrence Erlbaum.

Cheng, P. C.-H. (1996). Problem solving and learning with diagrammatic representations. In D. Peterson (Ed.), Forms of Representation (pp. 47-66). Exeter, U.K.: Intellect Books.

Cheng, P. C.-H., & Simon, H. A. (1995). Scientific discovery and creative reasoning with diagrams. In S. Smith, T. Ward & R. Finke (Eds.), The Creative Cognition Approach (pp. 205-228). Cambridge, MA: MIT Press.