Diagrams play a critical role in IS development. Despite this, ISD practitioners receive little or no instruction on how to produce “good” diagrams. In the absence of this, they are forced to rely on their intuition and experience, and make layout decisions that distort information or convey unintended meanings. The design of ISD graphical notations is ad hoc and unscientific: choice of conventions is based on personal taste rather than scientific evidence. Also, existing notations use a very limited graphic vocabulary and thus fail to exploit the potential communication power of diagrams. This paper describes a set of principles for producing “good” diagrams, which are defined as diagrams that communicate effectively. These provide practical guidance for both designers and users of ISD diagramming notations and are soundly based on theoretical and empirical evidence from a wide range of disciplines. We conclude that radical change is required to ISD diagramming practices to achieve effective user-developer communication.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ambler, S.W., The Elements of UML 2.0 Style. 2005, Cambridge, England: Cambridge University Press.
Antes, J.R. and S.W. Mann, Global-Local Precedence in Picture Processing. Psychological Research, 1984. 46 247-259.
Baddeley, A. and G. Hitch, Working Memory, In The Psychology of Learning and Motivation: Volume 8, G.H. Bower, Editor. 1974, Academic Press: London.
Baldwin, C.Y. and K.B. Clark, Design Rules Volume 1: The Power of Modularity. 2000, Cambridge, Massachuesetts, USA: MIT Press.
Bertin, J. , Semiology of Graphics: Diagrams, Networks, Maps. 1983, Madison, Wisconsin, USA: University of Wisconsin Press.
Blankenship, J. and D.F. Dansereau, The Effect of Animated Node-Link Displays on Information Recall. The Journal of Experimental Education, 2000. 68(4): p. 293-308.
Britton, C. and S. Jones, The Untrained Eye: How Languages for Software Specification Support Understanding by Untrained Users. Human Computer Interaction, 1999. 14: p. 191-244.
Britton, C., S. Jones, M. Kutar, M. Loomes, and B. Robinson. Evaluating the Intelligibility of Diagrammatic Languages Used in the Specification of Software. in Proceedings of of the First International Conference on the Theory and Application of Diagrams (Diagrams 2000). 2000. Edinburgh, Scotland.
Cleveland, W.S. and R. McGill, Graphical Perception: Theory, Experimentation and Application to the Development of Graphical Methods. Journal of the American Statistician Association, 1984. 79(387): p. 531-554.
Ericsson, K.A., W.G. Chase, and S. Faloon, Acquisition of a Memory Skill. Science, 1980. 208: p. 1181-1182.
Grant, E.R. and M.J. Spivey. Guiding Attention Produces Inferences in Diagram- Based Problem Solving. in First International Conference on the Theory and Application Application of Diagrams (Diagrams 2000). 2000. Edinburgh, Scotland.
Gurr, C.A., Effective Diagrammatic Communication: Syntactic, Semantic and Pragmatic Issues. Journal of Visual Languages and Computing, 1999. 10: p. 317-342.
Hitchman, S., Practitioner Perceptions On The Use Of Some Semantic Concepts In The Entity Relationship Model. European Journal of Information Systems, 1995. 4(1): p. 31-40.
. HitchmanŞ .Ţ he Details of Conceptual Modelling Notations are Important- A Comparison of Relationship Normative Language. Communications of the AIS, 2002. 9(10).
Imhof, E., Positioning Names on Maps. The American Cartographer, 1975. 2: p. 128-144.
Kim, J., J. Hahn, and H. Hahn, How Do We Understand a System with (So) Many Diagrams? Cognitive Integration Processes in Diagrammatic Reasoning. Information Systems Research, 2000. 11(3): p. 284-303.
. Kimball, R., Is ER Modeling Hazardous to DSS? DBMS Magazine, 1995.
Kosslyn, S.M., Understanding Charts And Graphs. Applied Cognitive Psychology, 1989. 3: p. 185-226.
. Larkin, J.H. and H.A. Simon, Why a Diagram is (Sometimes) Worth Ten Thousand Words. Cognitive Science, 1987. 11(1).
Lipowski, Z.J., Sensory And Information Inputs Overload: Behavioural Effects. Compre-hensive Psychiatry, 1975. 16(3): p. 105-124.
Lohse, G.L., A Cognitive Model for Understanding Graphical Perception. Human-Computer Interaction, 1993. 8(4): p. 353-388.
Lohse, G.L., The Role of Working Memory on Graphical Information Processing. Behaviour and Information Technology, 1997. 16(6): p. 297-308.
Lohse, G.L., D. Min, and J.R. Olson, Cognitive Evaluation of System Representation Diagrams. Information & Management, 1995. 29: p. 79-94.
. Mackinlay, J., Automating the Design of Graphical Presentations of Relational 141.
Mayer, R.E. and R. Moreno, Nine Ways to Reduce Cognitive Load in Multimedia Learning. Educational Psychologist, 2003. 38(1): p. 43-52.
Miller, G.A., The Magical Number Seven, Plus Or Minus Two: Some Limits On Our Capacity For Processing Information. The Psychological Review, 1956. 63: p. 81-97.
. Moody, D.L. Complexity Effects On End User Understanding Of Data Models: An Experimental Comparison Of Large Data Model Representation Methods. In 2002. Gdansk, Poland.
Nordbotten, J.C. and M.E. Crosby, The Effect of Graphic Style on Data Model Interpretation. Information Systems Journal, 1999. 9(2): p. 139-156.
. OMG, Unified Modeling Language Version2.0: Superstructure.2005: Object Management Group (OMG).
Palmer, S. and I. Rock, Rethinking Perceptual Organisation: The Role of Uniform Connectedness. Psychonomic Bulletin and Review, 1994. 1(1): p. 29-55.
Patrignani, M., Visualization of Large Graphs, in Dottorato di Ricerca (Doctoral Dissertation), Ingegneria Informatica. 2003, Università degli Studi di Roma: La Sapienza, Italy.
Peirce, C.S., Charles S. Peirce: The Essential Writings (Great Books in Philosophy), ed. E.C. Moore. 1998, Amherst, USA: Prometheus Books.
Petre, M., Why Looking Isn’t Always Seeing: Readership Skills and Graphical Programming. Communications of the ACM, 1995. 38(6): p. 33-44.
Pinker, S., A Theory of Graph Comprehension, In Artificial Intelligence and the Future of Testing, R. Freedle, Editor. 1990, Lawrence Erlbaum & Associates: Hillsdale, New Jersey, USA. p. 73-126.
Robinson, A.H., J.L. Morrison, P.C. Muehrcke, A.J. Kimerling, and S.C. Guptill, Elements of Cartography (6th Edition). 1995, New York: Wiley.
Scaife, M. and Y. Rogers, External Cognition: How Do Graphical Representations Work? International Journal of Human-Computer Studies, 1996. 45: p. 185-213.
Shanks, G.G., The Challenges Of Strategic Data Planning In Practice: An Interpretive Case Study. Journal of Strategic Information Systems, 1997. 6(1): p. 69-90.
Siau, K., Informational and Computational Equivalence in Comparing Information Modelling Methods. Journal of Database Management, 2004. 15(1): p. 73-86.
. Tasker, D., Worth 1,000 Words? Ha! Business Rules Journal, 2002. 3(11).
Tinker, M.A., Legibility of Print. 1963, Ames, Iowa, USA: Iowa State University Press.
Treisman, A. and G.A. Gelade, A Feature Integration Theory of Attention. Cognitive Psychology, 1980. 12: p. 97-136.
Verdi, M.P., J.T. Johnson, W.A. Stock, R.W. Kulhavy, and P. Whitman-Ahern, Organized Spatial Displays And Texts: Effects Of Presentation Order And Display Type On Learning Outcomes. The Journal of Experimental Education, 1997. 65(4): p. 303-317.
Wallgren, A., B. Wallgren, R. Persson, U. Jorner, and J.-A. Haaland, Graphing Statistics & Data: Creating Better Charts. 1996, London: Sage Publications.
Watts-Perotti, J. and D.D. Woods, How Experienced Users Avoid Getting Lost in Large Display Networks. International Journal of Human-Computer Interaction, 1999. 11(4): 169-299.
Weber, R.A., Are Attributes Entities? A Study Of Database Designers’ Memory Structures. Information Systems Research, 1996. 7(2): p. 137-162.
. Wertheimer, M., Laws of Organization in Perceptual Forms, In A Source Book of Gestalt Psychology, W. Ellis, Editor. 1938, Routledge and Kegan Paul (originally published in 1923 in German as Untersuchungen zur Lehre von der Gestalt II, in Psycologische Forschung, 4, 301-350): London. p. 71-88.
White, A.W., The Elements of Graphic Design: Space, Unity, Page Architecture and Type. 2002, New York: Allworth Press.
Winn, W.D., Encoding and Retrieval of Information in Maps and Diagrams. IEEE Transactions on Professional Communication, 1990. 33(3): p. 103-107.
Winn, W.D., A Theoretical Framework for Research on Learning from Graphics. International Journal of Educational Research, 1990. 14: p. 553-564.
Winn, W.D., Learning from Maps and Diagrams. Educational Psychology Review, 1991. 3: p. 211-247.
Winn, W.D., An Account of How Readers Search for Information in Diagrams. Contemporary Educational Psychology, 1993. 18: p. 162-185.
Yeh, M. and C.D. Wickens, Attention Filtering in the Design of Electronic Map Displays: A Comparison of Colour Coding, Intensity Coding and Decluttering Techniques. Human Factors, 2001. 43(4): p. 543-562.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer Science+Business Media, LLC
About this paper
Cite this paper
Moody, D. (2007). What Makes a Good Diagram? Improving the Cognitive Effectiveness of Diagrams in IS Development. In: Wojtkowski, W., Wojtkowski, W.G., Zupancic, J., Magyar, G., Knapp, G. (eds) Advances in Information Systems Development. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-70802-7_40
Download citation
DOI: https://doi.org/10.1007/978-0-387-70802-7_40
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-70801-0
Online ISBN: 978-0-387-70802-7
eBook Packages: Computer ScienceComputer Science (R0)