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An experimental program investigating color-enhanced and graphical information presentation: an integration of the findings

Published:01 November 1986Publication History
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Abstract

A series of three laboratory experiments were conducted to assess the influence of graphical and color-enhanced information presentation modes on decision quality, decision making time, use of information, and user perceptions. The experimental design allowed for the unconfounded study of line graphs and color using a variety of information presentation designs for the same decision making task. Based on the findings of these studies, propositions about the impact of graphics and color on individual decision makers are presented. The influence of presentation mode on human performance and the perceived value of information is related to how well it supports the solution approach to a particular task. The benefits of graphics are limited to reducing decision making time but only when the graphical report has been designed to directly assist in solving the task. Multicolor reports aid in decision making, but only in specific circumstances, that is, their benefits are not pervasive. It appears that color is more advantageous when associated with graphical reports, for certain decision maker types, during learning periods, and in time constrained environments.

References

  1. 1 Benbasat. I., and Dexter, AS. An experimental evaluation of graphical and color enhanced information presentation. Manage. Sri. 31, 11 (Nov. 1985), 1348-1364.Google ScholarGoogle Scholar
  2. 2 Benbasat. 1. and Dexter, AS. An experimental investigation of the effectiveness of graphical and color enhanced information presentation under varying time constraints. MIS Q. 10, 1 (Mar. 1986). 59-83.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. 3 Benbasat, I. Dexter, AS. and Todd, P. The influence of color-enhanced and graphical information presentation on report use and decision performance in a simulation supported task. Hum.-Cornput. Interaction 2, 1 (1986), 65-92.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. 4 Benbasat. I., and Taylor. R.N. Behavioral aspects of information processing for the design of management information systems. IEEE f. Syst., Man, Cybern. SMC-12, 4 (July/Aug. 1982). 439-450.Google ScholarGoogle Scholar
  5. 5 Benbasat, 1. and Schroeder, R.G. An experimental investigation of some MIS design variables. MIS Q. 1, 1 (Mar. 1977). 37-49.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. 6 Chervany. N.L., and Dickson, G.W. On the validity of the analyticheuristic instrument utilized in 'The Minnesota experiments': A reply. Manage. Sci. 24. 10 (June 1978). 1091-1092.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. 7 Christ. R.E. Review and analysis of color coding research for visual displays. Hum. Fact. 17. 6 (Dec. 19751, 542-570.Google ScholarGoogle Scholar
  8. 8 Chute, A.G. Analysis of the instructional functions of color and monochrome cuing in media presentations. Educ. Commun. Tech. J. 27,4 (Winter 1979), 251-263.Google ScholarGoogle Scholar
  9. 9 Cleveland. W.S. and McGill, R. Graphical perception: Theory. experimentation, and application to the development of graphical methods. I. Amer. Sfat. Assoc. 69. 387 (Application Section}, 531-554.Google ScholarGoogle Scholar
  10. 10 DeSanctis. G. Computer graphics as decision aids: Directions for research. Decis. Sci. 15, 4 (Fall 1984). 463-487.Google ScholarGoogle ScholarCross RefCross Ref
  11. 11 Dickson, G.W. DeSanctis, G., and McBride, D.J. Understanding the effectivess of computer graphics for decision support: A cumulative experimental approach. Commun. ACM 29, 1 (Jan. 1986), 40-47. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. 12 Ghani, }.A. The effects of information representation and modification on decision performance. Ph.D. dissertation, Wharton School, Univ. of Pennsylvania, 1981.Google ScholarGoogle Scholar
  13. 13 Huber. G.P. Cognitive style as the basis for MIS and DSS designs. Manage. Sci. 29, 5 (May 1983). 567-579.Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. 14 Integrated Software Systems Corporation. DISSPL4 User's Manunl, San Diego, Calif. 1978.Google ScholarGoogle Scholar
  15. 15 Ishihara, S. Tests for Colour Blindness: 38 Plate Edifion, Kanehara Shuppan Co. Ltd., Tokyo. 1968.Google ScholarGoogle Scholar
  16. 16 Ives. B. Graphical user interfaces for business information systems. MIS Q. Special Issue. (Dec. 1982), 15-42.Google ScholarGoogle Scholar
  17. 17 Jarvenpaa. S. Formulation, experimental evaluation and application of a task taxonomy for graphic research: A preliminary research proposal. Ph.D. dissertation proposal. Graduate School of Management. Univ. of Minnesota, Minneapolis, 1985.Google ScholarGoogle Scholar
  18. 18 Jenkins, A.M., and Ricketts, J.R. Development of an instrument to measure user satisfaction with management information systems. Working Paper, School of Business. Indiana Univ., Bloomington, 1980.Google ScholarGoogle Scholar
  19. 19 Jenkins, A.M. and Ricketts. J.R. The development of an MIS satisfaction questionnaire: An instrument for evaluating user satisfaction with turnkey decision support systems. Discussion Paper No. 265. School of Business. Indiana Univ., Bloomington, Aug. 1985.Google ScholarGoogle Scholar
  20. 20 Lamberski, R.J. A comprehensive and critical review of the methodology and findings in color investigations. Presented at The Annual Convention of the Association for Educational Communications and Technology, Denver, CO, Apr. 1980.Google ScholarGoogle Scholar
  21. 21 Lodish, L. Callplan: An interactive salesman's call planning system. Manage. Sci. 18,4. Part 2 (Dec. 1971). 25-40.Google ScholarGoogle Scholar
  22. 22 Lucas. H.C. and Nielsen, N.R. The impact of the mode of information presentation on learning and performance. Manage. Sci. 26. 10 (Oct. 1980). 982-993.Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. 23 Lusk. E.J. and Kersnick, M. The effect of cognitive style and report format on task performance: The MIS design consequences. Manage. Sci. 25, 8 (Aug. 19791, 787-798.Google ScholarGoogle ScholarCross RefCross Ref
  24. 24 McIntyre. S.H. Experimental study of the impact of judgement-based marketing models. Manage. Sci. 28, 1 (Jan. 1982), 17-33.Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. 25 Miller, G.A. The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychol. Rev. 63, 2 (Mar. 1956). 81-97.Google ScholarGoogle ScholarCross RefCross Ref
  26. 26 Much. G.M. Physiological principles for the effective use of color. IEEE Cmpuf. Graphics Appl: 4, 11 (Nov. 1984). 59-54. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. 27 Newell, A. and Simon, H.A. Human Problem Solving. Prentice Hall. Englewood Cliffs, N.J. 1972. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. 28 Remus. W. An empirical investigation of the impact of graphical and tabular data presentations on decision making. Manage. SC;. 30, 5 (May 1984). 533-542.Google ScholarGoogle Scholar
  29. 29 Robertson. P.J. A guide to using color on alphanumeric displays. Tech. Rep. 6320-6296-O IBM, New York 1980.Google ScholarGoogle Scholar
  30. 30 Schutz. H.G. An evaluation of methods for presentation of graphic multiple trends-Experiment III. Hum. Facf. 3. 2 (July 1961), 108-119.Google ScholarGoogle ScholarCross RefCross Ref
  31. 31 Simon, H.A. The New Science of Managemenf Decision. Prentice-Hall, Englewood Cliffs. N.J., 1960. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. 32 Tufte, E.F. The Visual Display of Quantitative Information. Graphics Press. Cheshire. CT, 1983. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. 33 Wainer. H. How to display data badly. Amer. Stat. 38, 2 (May 1984). 137-147.Google ScholarGoogle Scholar
  34. 34 Witkin, H.A. Goodenough. D.R. and Karp, S.A. Stability of cognitive style from childhood to young adulthood. I Pers. Sot. Psychol. 7, 3 (Nov. 1967). 291-300.Google ScholarGoogle Scholar
  35. 35 Witkin. H.A., et al. A Manual for the Embedded Figures Test. Consulting Psychologists Press. Palo klto, Calif., 1971. -Google ScholarGoogle Scholar
  36. 36 Zmud. R.W. Individual differences and MIS success. Manage. Sci. 25, 10 (Oct. 1979), 966-979.Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. 37 Zmud. R.W., Blocher, E. and Moffie. R.P. The impact of colour graphic report formats on decision performance and learning. In Proceedings of the 4th International Conference on Information Systems. Houston. Tex. Dec. 1983,179-193.Google ScholarGoogle Scholar

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  1. An experimental program investigating color-enhanced and graphical information presentation: an integration of the findings

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            Douglas Roy McQuilken

            This paper studies the results of three experiments using tabular, graphical, monocolor, and multicolor output presentations in support of decision making tasks. The experiments measure the influences of color and information presentation on (1) decision making quality and individuals of differing personality styles; (2) decision making behavior and report use; and (3) decision making quality under varying time constraints. The results of the experiments are encapsulated and presented clearly in several tables accompanying the text. The paper draws two propositions: (1)“The influence of presentation format on decision making effectiveness depends on how well the format supports the solution to the task.” (2)“Color has a positive influence on decision making effectiveness; however, the benefits of color are more evident for graphical reports, under time constraints, during the learning period, and for field-dependent individuals.” The authors' use of scientific method and the isolation of the key variables used in the experiments is very good. The text of the document, however, assumes that the reader is well versed in the current literature on this topic. Extensive references are provided.

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            • Published in

              cover image Communications of the ACM
              Communications of the ACM  Volume 29, Issue 11
              Nov. 1986
              79 pages
              ISSN:0001-0782
              EISSN:1557-7317
              DOI:10.1145/7538
              Issue’s Table of Contents

              Copyright © 1986 ACM

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              Publication History

              • Published: 1 November 1986

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