Cognitive load effects on end user understanding of conceptual models: An experimental analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3255, Issue , 2004, Pages 129-143

  Moody, Daniel L ^a,b  

^a CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

^b MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

COGNITIVE LOAD THEORY; CONCEPTUAL MODELLING; DESIGN IMPLICATIONS; ENTITY-RELATIONSHIP; EXPERIMENTAL ANALYSIS; INFORMATION CONTENTS; LABORATORY EXPERIMENTS; PRESENTING INFORMATIONS;

HUMAN COMPUTER INTERACTION;

EID: 35048868484     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30204-9_9     Document Type: Article

References (62)

1. AKOKA, J. and I. COMYN-WATTIAU (1996): Entity Relationship And Object Oriented Model Automatic Clustering, Data And Knowledge Engineering, 20 (1): p. 87-117.
2. BADDELEY, A. and G. HITCH (1974): Working Memory, In The Psychology of Learning and Motivation: Volume 8, G.H. Bower (Ed.), Academic Press: London.
3. BADDELEY, A.D. (1994): The Magical Number Seven: Still Magic After All These Years?, Psychological Review, 101 (2): p. 353-356.
4. BADDELEY, A.D. (1999): Essentials of Human Memory, Cognitive psychology, Hove, England: Psychology Press, xi, 356.
5. BANNERT, M. (2002): Managing Cognitive Load: Recent Trends in Cognitive Load Theory, Learning and Instruction, 12 (1): p. 139-146.
6. BATINI, C., S. CERI, and S.B. NAVATHE (1992): Conceptual Database Design: An Entity Relationship Approach, Redwood City, California: Benjamin Cummings.
7. BROWNE, G.J. and V. RAMESH (2002): Improving Information Requirements Determination: A Cognitive Perspective, Information & Management, 39: p. 625-645.
8. CHANDLER, P. and J. SWELLER (1996): Cognitive Load While Learning to Use a Computer Program, Applied Cognitive Psychology, 10.
9. CHEN, P.P. (1976): The Entity Relationship Model: Towards An Integrated View Of Data, ACM Transactions On Database Systems, 1 (1), March: p. 9-36.
10. CHEN, P.P. (2002): Entity-Relationship Modeling: Historical Events, Future Trends, and Lessons Learned, In Software Pioneers: Contributions to Software Engineering, M. Broy and E. Denert (Eds.), Springer-Verlag: Berlin, p. 100-114.
11. COFER, C.N. (1965): On Some Factors in the Organisational Characteristics of Free Recall, American Psychologist, April: p. 261-272.
12. DAVIES, I.,P. GREEN, and M. ROSEMANN (2003): Modelling in Australian Practice - Preliminary Insights, Information Age, February: p. 34-42.
13. DAVIS, G.B. (1982): Strategies for Information Requirements Determination, IBM Systems Journal, 21 (1).
14. DRIVER, M. and T. MOCK (1975): Human Information Processing Decision Style Theory and Accounting Information Systems, Accounting Review, 50.
15. EWUSI-MENSAH, K. (1997): Critical Issues in Abandoned Information Systems Projects, Communications of the ACM, 40: p. 74-80.
16. FELDMAN, P. and D. MILLER (1986): Entity Model Clustering: Structuring A Data Model By Abstraction, The Computer Journal, 29 (4): p. 348-360.
17. FINKLESTEIN, C. (1989): An Introduction to Information Engineering: From Strategic Planning to Information Systems, Singapore: Addison-Wesley.
18. FLOOD, R.L. and E.R. CARSON (1993): Dealing With Complexity: An Introduction To The Theory And Application Of Systems Science: Plenum Press.
19. GOLDSTEIN, R.C. and V.C. STOREY (1990): Some Findings On The Intuitiveness Of Entity Relationship Constructs, In F.H. Lochovsky (Ed.) Entity Relationship Approach To Database Design And Querying, Amsterdam: Elsevier Science,
20. HAHN, J. and J. KIM (1999): Why Are Some Diagrams Easier to Work With?: Effects of Diagrammatic Representation on the Cognitive Integration Process of Systems Analysis and Design, ACM Transactions on Computer-Human Interaction, 6 (3), September: p. 181-213.
21. HITCHMAN, S. (1995): Practitioner Perceptions On The Use Of Some Semantic Concepts In The Entity Relationship Model, European Journal of Information Systems.
22. HITCHMAN, S. (2004): The Entity Relationship Model And Practical Data Modelling, Journal of Conceptual Modelling, 31, March.
23. JAKOBY, J., D. SPELLER, and C. KOHN (1978): Brand Choice As A Function Of Information Load, Journal Of Applied Psychology, 63.
24. KALYUGA, S., P. AYRES, S.K. CHANG. and J. SWELLER (2003): The Expertise Reversal Effect, Educational Psychologist, 38 (1): p. 23-31.
25. KIM, J., J. HAHN, and H. HAHN (2000): How Do We Understand a System with (So) Many Diagrams? Cognitive Integration Processes in Diagrammatic Reasoning, Information Systems Research, 11 (3), September: p. 284-303.
26. KIM, Y.-G. and S.T. MARCH (1995): Comparing Data Modelling Formalisms, Communications of the ACM, 38 (6).
27. KIRSCHNER, P.A. (2002): Cognitive Load Theory: Implications of Cognitive Load Theory on the Design of Learning, Learning and Instruction, 12 (1): p. 1-10.
28. LARKIN, J.H. and H.A. SIMON (1987): Why a Diagram is (Sometimes) Worth Ten Thousand Words, Cognitive Science, 11 (1).
29. LAUESEN, S. and O. VINTER (2000): Preventing Requirement Defects, In Proceedings of the Sixth International Workshop on Requirements Engineering: Foundation for Software Quality (REFSQ'2000). Stockholm, Sweden, June 5-6 2000.
30. LINDLAND, O.I., G. SINDRE, and A. SøLVBERG (1994): Understanding Quality In Conceptual Modelling, IEEE Software, 11 (2), March: p. 42-49.
31. LIPOWSKI, Z.J. (1975): Sensory And Information Inputs Overload: Behavioural Effects, Comprehensive Psychiatry, 16 (3), May/June: p. 105-124.
32. MAIER, R. (1996): Benefits And Quality Of Data Modelling: Results Of An Empirical Analysis, In B. Thalheim (Ed.) Proceedings Of The Fifteenth International Conference On The Entity Relationship Approach, Cottbus, Germany: Elsevier, October 7-9.
33. MARTIN, J. (1989): Information Engineering, Englewood Cliffs, N.J.: Prentice Hall, 3 v.
34. MILLER, G.A. (1956): The Magical Number Seven, Plus Or Minus Two: Some Limits On Our Capacity For Processing Information, The Psychological Review, 63, March: p. 81-97.
35. MOODY, D.L. (2001): Dealing with Complexity: A Practical Method for Representing Large Entity Relationship Models (PhD Thesis), Melbourne, Australia: Department Of Information Systems, University of Melbourne.
36. MOODY, D.L. and G.G. SHANKS (2003): Improving the Quality of Data Models: Empirical Validation of a Quality Management Framework, Information Systems, 28 (6), August: p. 619-650.
37. MOUSAVI, S., R. LOW, and J. SWELLER (1995): Reducing Cognitive Load by Mixing Auditory and Visual Presentation Modes, Journal of Educational Psychology, 77: p. 272-284.
38. MURDOCK, B.B. (1993): TODAM3: A Model Of Storage And Retrieval Of Item, Associative And Serial Order Information, Psychological Review, 100 (2): p. pp. 183-203.
39. NEWELL, A.A. and H.A. SIMON (1972): Human Problem Solving: Prentice-Hall.
40. NORDBOTTEN, J.C. and M.E. CROSBY (1999): The Effect of Graphic Style on Data Model Interpretation, Information Systems Journal, 9.
41. PAAS, F. (1992): Training Strategies for Attaining Transfer of Problem Solving Skill in Statistics: A Cognitive Load Approach, Journal of Educational Psychology, 84: p. 429-434.
42. PAAS. F., A. RENKL, and J. SWELLER (2003): Cognitive Load Theory and Instructional Design: Recent Developments, Educational Psychologist, 38 (1): p. 1-4.
43. PIATTINI, M., M. GENERO, and C. CALERO (2002): Data Model Metrics, In Handbook of Software and Knowledge Engineering (Volume 2), S.K. Chang (Ed.), World Scientific: New Jersey.
44. SHANKS, G.G. (1997): The Challenges Of Strategic Data Planning In Practice: An Interpretive Case Study, Journal of Strategic Information Systems, 6.
45. SIMSION, G.C. (1989): A Structured Approach To Data Modelling, The Australian Computer Journal, 21 (3), August: p. 108-117.
46. SIMSION, G.C. and G.C. WITT (2001): Data Modeling Essentials: Analysis. Design, and Innovation (2nd Ed), The Coriolis Group.
47. STANDISH GROUP (1995): The CHAOS Report into Project Failure, The Standish Group International Inc. Available on-line at http://www.standishgroup.com/visitor/chaos.htm.
48. STANDISH GROUP (1996): Unfinished Voyages, The Standish Group International Inc. available on-line at http://www.standishgroup.com/visitor/voyages.htm.
49. SWELLER, J. (1988): Cognitive Load During Problem Solving: Effects on Learning, Cognitive Science, 12: p. 257-285.
50. SWELLER, J. (1994): Cognitive Load Theory, Learning Difficulty and Instructional Design, Learning and Cognition, 4.
51. SWELLER, J. and P. CHANDLER (1994): Why Some Material is Difficult to Learn, Cognition and Instruction, 12 (3).
52. SWELLER, J., J.J.G. VAN MERRIËNBOER, and F. PAAS (1998): Cognitive Architecture and Instructional Design, Educational Psychology Review, 10 (3): p. 251-296.
53. TEOREY, T.J. (1999): Database Modelling And Design (3rd Edition), San Francisco: Morgan Kaufmann Publishers.
54. TEORY, T.J., G. WEI, D.L. BOLTON, and J.A. KOENIG (1989): ER Model Clustering As An Aid For User Communication And Documentation In Database Design, Communications Of The ACM, August.
55. THALHEIM, B. (2000): Entity Relationship Modeling: Foundations of Database Technology, Berlin: Springer, xii, 627.
56. UHR, L., C. VOSSIER, and J. WEMAN (1962): Pattern Recognition over Distortions by Human Subjects and a Computer Model of Human Form Perception, Journal of Experimental Psychology: Learning, 63.
57. VAN MERRIËNBOER, J.J.G. (1997): Training Complex Skills: A Four Component Instructional Design Model for Technical Training, Englewood Cliffs, New Jersey, USA: Educational Technology Publications.
58. VESSEY, I. and S. CONGER (1994): Requirements Specification: Learning Object, Process and Data Methodologies, Communications of the ACM, 37 (102-113).
59. WAND, Y. and R.A. WEBER (1993): On the Ontological Expressiveness of Information Systems Analysis and Design Grammars, Journal of Information Systems, 3 (4), October: p. 217-237.
60. WEBER, R.A. (1997): Ontological Foundations Of Information Systems, Melbourne, Australia: Coopers And Lybrand Accounting Research Methodology Monograph No. 4, Coopers And Lybrand.
61. WOODS, D. (1995): Towards a Theoretical Base for Representation Design in the Computer Medium: Ecological Perception and Aiding Human Cognition, In Global Perspectives on the Ecology of Human-Machine Systems, J. Flach, et al. (Eds.), Lawrence Erlbaum Associates: New Jersey.
62. WOODS, D.D. and J.C. WATTS (1997): How Not to Have to Navigate Through Too Many Displays, In Handbook of Human Computer Interaction, M.G. Heiander, T.K. Landauer, and P.V. Prabhu (Eds.), Elsevier Science: Amsterdam, Netherlands, p. 617-650.