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James A. Carter

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Publication statistics

Pub. period:1986-1991
Pub. count:6
Number of co-authors:2

Co-authors

Number of publications with 3 favourite co-authors:

Michael F. Schweighardt:2
Jo-Anne M. Lukey:1

Productive colleagues

James A. Carter's 3 most productive colleagues in number of publications:

Michael F. Schweig..:3
Jo-Anne M. Lukey:1

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May 22

Knowing (by) Designing 2013

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

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Graphics Interface 2013

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James A. Carter

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Publications by James A. Carter (bibliography)

1991

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Carter, James A., Lukey, Jo-Anne M. and Schweighardt, Michael F. (1991): The Action-Modifier-Object-Attribute (AMOA) Classification of User-Oriented Functions. In International Journal of Man-Machine Studies, 34 (1) pp. 1-22.

“This paper discusses the rationale for and the development of the Action-Modifier-Object-Attribute classification of user-oriented functions. The AMOA classification combines the benefits of an open, expandable theoretical organization of functions with the benefits of an existing taxonomy based on extensive empirical research findings. The resulting AMOA hierarchy can be used to design highly (functionally) integrated user-oriented systems as well as common user interfaces (and user interface management systems) for a variety of different types of applications.”

1990

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Carter, James A. (1990): Analyzing, Designing, Developing, and Evaluating Adaptive Systems. In: D., Woods, and E., Roth, (eds.) Proceedings of the Human Factors Society 34th Annual Meeting 1990, Santa Monica, USA. pp. 334-335.

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Carter, James A. (1990): The Dimensions and Degrees of Adaptation: A Synergistic Analysis. In: D., Woods, and E., Roth, (eds.) Proceedings of the Human Factors Society 34th Annual Meeting 1990, Santa Monica, USA. pp. 336-340.

“System adaptation is necessary as organizations and individuals evolve. There are various ways in which systems can be made to adapt. By identifying the dimensions and degrees of adaptation and selecting those feasible to implement, it is possible to incorporate useful adaptive features in the systems of today.”

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Carter, James A. (1990): Juggling Concern for Completeness and Consistency with Concerns for Flexibility and Adaptability Using MOST. In: D., Woods, and E., Roth, (eds.) Proceedings of the Human Factors Society 34th Annual Meeting 1990, Santa Monica, USA. pp. 341-345.

“The Multi-Oriented Structured Task analysis (MOST) methodology attempts to be most things to most of its users most of the time by balancing the needs of both system users and system designers for flexibility and adaptivity. The MOST methodology structures a task analysis and integrates it with other more formal specification methodologies including software engineering methodologies, human-computer interaction methodologies, and explicit user models. MOST stores these specifications in a knowledge base of four major interlinked foci for the information (users, tasks, data, and tools) and an optional foci (constraints) that can be linked to any of the major foci. The linkages in a MOST knowledge base facilitate the flexible structuring and restructuring of records. These linkages can model alternative designs and/or paths by which a system can adapt its interface while maintaining functional consistency. Various design heuristics (both software engineering and human factors) can be applied to an analysis recorded in a MOST knowledge base to assist in its transformation into a suitable design. The MOST methodology is designed to cooperate with and to assist the designer rather than to force the user to serve the methodology.”

1987

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Carter, James A. and Schweighardt, Michael F. (1987): The Basis for User-Oriented, Context Sensitive Functions. In: Bullinger, Hans-Jorg and Shackel, Brian (eds.) INTERACT 87 - 2nd IFIP International Conference on Human-Computer Interaction September 1-4, 1987, Stuttgart, Germany. pp. 1027-1032.

1986

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Carter, James A. (1986): A Taxonomy of User-Oriented Functions. In International Journal of Man-Machine Studies, 24 (3) pp. 195-292.

“This paper presents a taxonomy of user-oriented data functions. The taxonomy is composed of a hierarchy of user-oriented functions plus command names suggested by a group of potential users for those functions, classified as generally required in data-processing systems. The taxonomy can be used for commercial system design and evaluation and as a basis for further research.”

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