Publications

This page contains the latest publications and software from the RepSys Lab.

We have organised the list of publications in the following categories:

• Representational Systems
• Competence Measurement
• Miscelaneous topics 
• PhD Theses

 

Representational Systems

List of publications related to representational systems.

• Cheng, P.C.H., Stockdill, A., Garcia Garcia, G., Raggi, D., Jamnik, M. (2022). Representational Interpretive Structure: Theory and Notation. 13th International Conference on the Theory and Application of Diagrams. Accepted for publication.
• Stockdill, A., Stapleton, G., Raggi, D., Jamnik, M., Garcia Garcia, G., Cheng, P.C.H. (2022). Examining experts' recommendations of representational systems for problem solving. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). Accepted for publication.
• Cheng P.CH., Garcia Garcia G., Raggi D., Stockdill A., Jamnik M. (2021) Cognitive Properties of Representations: A Framework. In: Basu A., Stapleton G., Linker S., Legg C., Manalo E., Viana P. (eds) Diagrammatic Representation and Inference. Diagrams 2021. Lecture Notes in Computer Science, vol 12909. Springer, Cham. https://doi.org/10.1007/978-3-030-86062-2_43
• Colarusso F., Cheng P.CH., Garcia Garcia G., Raggi D., Jamnik M. (2021) Observing Strategies of Drawing Data Representations. In: Basu A., Stapleton G., Linker S., Legg C., Manalo E., Viana P. (eds) Diagrammatic Representation and Inference. Diagrams 2021. Lecture Notes in Computer Science, vol 12909. Springer, Cham. https://doi.org/10.1007/978-3-030-86062-2_55
• Stockdill A., Raggi D., Jamnik M., Garcia Garcia G., Cheng P.CH. (2021) Considerations in Representation Selection for Problem Solving: A Review. In: Basu A., Stapleton G., Linker S., Legg C., Manalo E., Viana P. (eds) Diagrammatic Representation and Inference. Diagrams 2021. Lecture Notes in Computer Science, vol 12909. Springer, Cham. https://doi.org/10.1007/978-3-030-86062-2_4
• Raggi, D., Stapleton, G., Stockdill, A., Jamnik, M., Garcia Garcia, G., Cheng, P.C.H. (2020). How to (Re)represent it? International Conference on Tools for Artificial Intelligence (ICTAI), IEEE, 2021. https://doi.org/10.1109/ICTAI50040.2020.00185
• 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. 
• 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 Garcia, 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 Garcia, 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. https://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. https://doi.org/10.3758/s13428-019-01279-1
• 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. https://doi.org/10.1111/cogs.12606
• 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. (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.
• 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. (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., & 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.

 

Competence measurement

List of publications on the topic of competence measurement.

• 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.  
• 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.
• 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. http://dx.doi.org/ 10.2466/24.PMS.120v17x6
• 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.
• 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.
• 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.

 

Miscelaneous

• 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. https://doi.org/10.1145/3145904

 

PhD Theses

• Noorah Albehaijan (2022): Applying Temporal Chunk Signals Analysis to Measure Programming Competence by the Transcription of Java Program Code.

• Daniel Hajas (2021): Ultrasonic mid-air haptic technology in context of science communication.

• Rossano Barone (2016): A cognitive model of the roles of diagrammatic representation in supporting unpractised reasoning about probability.

• Grecia Garcia Garcia (2015): Improving and assessing students’ line graph interpretations: the case of the graph-as-picture interpretation.

• Noora Fetais (2013): Evaluation of the usability of constraint diagrams as a visual modelling language: theoretical and empirical investigations.

• Maria Zulkifli (2013): Applying pause analysis to explore cognitive processes in the copying of sentences by second language users.

• Unaizah Obaidellah (2012): The role of chunking and schemas in learning and drawing.

• Robin Kent (2011): Expertise in map comprehension: processing of geographic features according to spatial configuration and abstract roles.

• Ronald Grau (2009): The acquisition and representation of knowledge about complex multi-dynamic processes.

• Paul Marshall (2008): Physicality and Learning: Searching for the effects of Tangibility in scientific domains.

• David Ranson (2008): Interactive visuaisation to improve exam timetabling systems.