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An experimental investigation of the interactive effects of interface style, instructions, and task familiarity on user performance

Published: 01 March 1996 Publication History

Abstract

Norman proposed a model describing the sequence of user activities involved in human-computer interaction. Through this model, Norman provides a rationale for why direct-manipulation interfaces may be preferred to other design alternatives. Based on action identification theory we developed several hypotheses about the operations of Norman's model and tested them in a laboratory experiment. The results show that users of a direct-manipulation interface and a menu-based interface did not differ in the total amount of time used to perform a task. However, with the direct-manipulation interface, more time is devoted to performing motor actions, but this is offset by shorter nonmotor time. Furthermore, there are significant interactions between task familiarity, instructions, and the type of interface, indicating that Norman's model may not hold under all conditions.

References

[1]
BENBASAT, I. AND TODD, P. 1993. An experimental investigation of interface design alternatives: Icon vs. text and direct manipulation vs. menus. Int. J. Man-Mach. Stud. 38, 3, 369-402.
[2]
CARD, S. K., MORAN, T. P., AND NEWELL, A. 1983. The Psychology of Human-Computer Interaction. Lawrence Erlbaum, Associates, Hillsdale, N.J.
[3]
GRAY, W. D., JOHN, B. E., AND ATWOOD M.E. 1993. Project Ernestine: Validating a GOMS analysis for predicting and explaining real-world task performance. Hum. Comput. Interact. 8, 3, 237-309.
[4]
HUTCHINS, E. L., HOLLAN, J. D., AND NORMAN, D.A. 1985. Direct manipulation interfaces. Hum. Comput. Interact. 1, 4, 311-338.
[5]
JOHN, B. E. 1988. Contributions to engineering models of human-computer interaction. Ph.D. dissertation, Carnegie Mellon Univ., Pittsburgh, Pa.
[6]
JOHN, B.E. 1990. Extension of GOMS analysis to expert performance requiring perception of dynamic visual and auditory. In CHI '90 Proceedings. ACM, New York, 107-115.
[7]
KAHNEMAN, D. ~o TI~ZSMAN, A.M. 1984. Changing views of attention and automaticity. In Varieties of Attention, R. Parasuraman and R. Davies, Eds. Academic Press, New York, 29-61.
[8]
KEEN, P. 1980. MIS research: Reference disciplines and a cumulative tradition. In Proceed. ings of the Ist International Conference on Information Systems (Philadelphia). Society of Information Management, 9-18.
[9]
LABERGE, C. AND St~4UELS, S.J. 1974. Toward a theory of automatic information processing in reading. Cog. Psychol. 6, 2, 293-323.
[10]
LOGAN, G.D. 1978. Attention in character classification: Evidence for the automaticity of component stages. J. Exp. Psychol. 107, 1, 32-63.
[11]
LOGAN, G.D. 1980. Attention and automaticity in Stroop and priming tasks: Theory and data. Cog. Psychol. 12, 4, 523-553.
[12]
LOGAN, G. D. 1988a. Toward an instance theory of automatization. Psychol. Rev. 95, 4, 492-527.
[13]
LOGAN, G. D. 1988b. Automaticity, resources, and memory: Theoretical controversies and practical implications. Hum. Factors 30, 5, 583-598.
[14]
LOGAN, G.D. 1992. Attention and preattention in theories of automaticity. Am. J. PsychoL 105, 2, 317-339.
[15]
LOGAN, G. D. AND KLAPP, S. T. 1991. Automatizing alphabet arithmetic: I. Is extended practice necessary to produce automaticity? J. Exp. Psychol. 17, 2, 175-195.
[16]
MACKENIE I. S., SELLEr, A., ~,~D BUXTO~, W. 1991. A comparison of input devices in elemental pointing and dragging tasks. In CHI '91 Proceedings. ACM, New York, 161-166.
[17]
MARCEL, A.T. 1983. Conscious and unconscious perception: An approach to the relations between phenomenal experience and perceptual processes. Cog. Psychol. 15, 2, 238-300.
[18]
MORRISON, D. 1992. The application of cognitive theory and science to HCI: A psychological perspective. Int. J. Hum. Comput. Interact. 4, 1, iii-v.
[19]
NEELY, J.H. 1977. Semantic priming and retrieval from lexical memory: Roles of inhihitionless spreading activation and limited-capacity attention. J. Exp. Psychol. 106, 3, 226 -254.
[20]
NORMAN, D.A. 1986. Cognitive engineering. In User Centered Systems Design: New Perspectives on Human-Computer Interaction, D. A. Norman and S. W. Draper, Eds. Lawrence Erlbaum Associates, Hillsdale, N.J., 31-61.
[21]
NORMAN, D.A. 1989. The Design of Everyday Things. Doubleday, New York.
[22]
OLSON, J. R. ANn OLSON G. 1990. The growth of cognitive modeling in human-computer interaction since GOMS. Hum. Comput. Interact. 5, 2-3, 221-265.
[23]
SCHANK, R.C. 1982. Dynamic Memory: A Theory of Reminding and Learning in Computers and People. Cambridge University Press, New York.
[24]
SCHNEIDER, W., DUMAIS, S. T., AND SHIFFRIN, g.M. 1984. Automatic and control processing and attention. In Varieties of Attention, R. Parasuraman and R. Davies, Eds. Academic Press, New York, 1-27.
[25]
SCHNEIDER, W. ANI) FISK, A.D. 1982. Degree of consistent training: Improvements in research performance and automatic process and development. Perception Psychophys. 31, 2, 160-168.
[26]
SCHNEIDER, W. AND S{{IFFRIN, R. M. 1977. Controlled and automatic human information processing: I. Detection, search and attention. Psychol. Rev. 84, 1, 1-66.
[27]
SCHWEICKERT, R. 1978. A critical path generalization of additive factor method: Analysis of a Stroop task. J. Math. Psychol. 18, 2, 105-139.
[28]
SHIFFRIN, R. M. AND SCHNEIDER, W. 1977. Controlled and automatic human information processing: II. Perceptual learning, automatic attending, and a general theory. Psychol. ReD. 84, 2, 127-190.
[29]
SHNEWERMAN, B. 1983. Direct manipulation: A step beyond programming languages. IEEE Comput. 16, 8, 57-69.
[30]
SHNEIDERMAN, B. 1993. Designing the User Interface: Strategies for Effective Human.Computer Interaction. Addison-Wesley, Reading, Mass.
[31]
SPELKE, E, HIRST, W., AND NEISSER, U. 1976. Skills of divided attention. Cognition 4, 3, 215-230.
[32]
ULICH, E., RAUTERBERG, M., MOLL, T., GREUTMANN, T., AND STROHM, O. 1991. Task orientation and user-orientated dialogue design. Int. J. Hum. Comput. Interact. 3, 2, 117-144.
[33]
VALLACHER, R. AND WEGNER, D. 1987. What do people think they're doing? Action identification and human behavior. Psychol. ReD. 94, 1, 3-15.

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Reviews

William J. Hankley

Both qualitative reasoning about human-computer interaction and a simple experiment are presented. The authors explain a refinement of an earlier model by Norman . They review the concepts of action-identification (to distinguish between high-level and low-level actions and commands) and automaticity (the concept of learned automatic behaviors). They next present a simple 2×2×2 experiment observing motor performance time and total performance time for simple operations using either a direct manipulation interface (drag and drop) or a menu interface (in which the user clicks on the source and target objects). They show that the direct manipulation interface has a longer motor performance time, but typically a shorter mental time. They also show that familiar tasks are better presented using higher-level instructions, and less familiar tasks are better presented via lower-level instructions. The model and experimental results are such that, once they are presented and explained, it is easy to say that the model was intuitive and the results expected. Some of the statements about the semantic distance between commands and actions warrant further clarification of the model.

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Published In

cover image ACM Transactions on Computer-Human Interaction
ACM Transactions on Computer-Human Interaction  Volume 3, Issue 1
March 1996
106 pages
ISSN:1073-0516
EISSN:1557-7325
DOI:10.1145/226159
Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 March 1996
Published in TOCHI Volume 3, Issue 1

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  • (2022)Atomic, reusable feedback: a semi-automated solution for assessing handwritten tasks? A crossover experiment with mathematics teachers.Computers and Education Open10.1016/j.caeo.2022.1000863(100086)Online publication date: Dec-2022
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