Publication statistics

Pub. period:1982-1990
Pub. count:7
Number of co-authors:9


Number of publications with 3 favourite co-authors:

Andrew Palay:
Thomas P. Moran:
Robin Jeffries:



Productive colleagues

Jarrett Rosenberg's 3 most productive colleagues in number of publications:

Thomas P. Moran:66
Robin Jeffries:21
Jim Miller:20

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Jarrett Rosenberg


Publications by Jarrett Rosenberg (bibliography)

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Rosenberg, Jarrett, Asente, Paul, Linton, Mark A. and Palay, Andrew (1990): X Toolkits: the Lessons Learned. In: Hudson, Scott E. (ed.) Proceedings of the 3rd annual ACM SIGGRAPH symposium on User interface software and technology October 03 - 05, 1990, Snowbird, Utah, United States. pp. 108-111.

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Rosenberg, Jarrett, Hill, Ralph, Miller, Jim, Schulert, Andrew and Shewmake, David (1988): UIMSs: Threat or Menace?. In: Soloway, Elliot, Frye, Douglas and Sheppard, Sylvia B. (eds.) Proceedings of the ACM CHI 88 Human Factors in Computing Systems Conference June 15-19, 1988, Washington, DC, USA. pp. 197-200.

 Cited in the following chapter:

: [Not yet published]

 Cited in the following chapter:

: [Not yet published]

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Jeffries, Robin and Rosenberg, Jarrett (1987): Comparing a form--based and language--based user interface for instructing a mail program. In: Graphics Interface 87 (CHI+GI 87) April 5-9, 1987, Toronto, Ontario, Canada. pp. 261-266.

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Rosenberg, Jarrett and Moran, Thomas P. (1984): Generic Commands. In: Shackel, Brian (ed.) INTERACT 84 - 1st IFIP International Conference on Human-Computer Interaction September 4-7, 1984, London, UK. pp. 245-249.

A generic command is one which is recognized in all contexts of a computer system; examples from the Xerox 8010 Star system are move, copy, and delete. They may be viewed as extremely general actions which make minimal assumptions about their objects, the particular interpretation of the commands depending on the contexts in which they are issued and the nature of the objects to which they are applied. Of the several tradeoffs involved in using generic commands, the primary one concerns having to design the objects in the system so as to efficiently use them.

© All rights reserved Rosenberg and Moran and/or North-Holland

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Rosenberg, Jarrett (1983): A Featural Approach to Command Names. In: Smith, Raoul N., Pew, Richard W. and Janda, Ann (eds.) Proceedings of the ACM CHI 83 Human Factors in Computing Systems Conferenc December 12-15, 1983, Boston, Massachusetts, United States. pp. 116-119.

A variety of aspects of command names have been studied, such as suggestiveness, memorability, and the use of icons. A single framework for these disparate studies is desirable, and it is proposed that the concept of featural analysis prevalent in linguistics and psycholinguistics be adopted as an approach to command name design. Examples of the breadth of application of this approach are given for the naming issues of suggestiveness, learning and memory, congruence and hierarchicalness, universal commands, the relationships of names to the command language syntax, and the use of non-words as names.

© All rights reserved Rosenberg and/or ACM Press

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Rosenberg, Jarrett (1982): Evaluating the Suggestiveness of Command Names. In: Nichols, Jean A. and Schneider, Michael L. (eds.) Proceedings of the SIGCHI conference on Human factors in computing systems March 15-17, 1982, Gaithersburg, Maryland, United States. pp. 12-16.

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Rosenberg, Jarrett (1982): Evaluating the Suggestiveness of Command Names. In Behaviour and Information Technology, 1 (4) pp. 371-400.

Optimally naming commands involves maximizing the ability to convey an implicit model of system actions and relationships by choosing names which suggest those actions and relationships. Suggestiveness is hypothesized to be based upon the semantic similarity of the names and commands, which can be usefully formulated in terms of Tversky's model of featural similarity. To test this model of suggestiveness, three experiments were conducted. In the first experiment, 14 computer-naive subjects made semantic judgements about three sets of command names, and their responses were compared with judgements made by programmers about the corresponding set of editor commands. The judgements were used to create features to assign to each name and command. The suggestiveness of each name was then computed, using a simple context-free version of Tversky's similarity model. In the second experiment, another group of 12 computer-naive subjects was asked to pair the names from the first experiment with before-after pictures showing the actions of the editor commands. As expected, the frequency with which subjects picked the correct pictures was correlated with the suggestiveness of the names, with suggestiveness accounting for roughly half the variance in subjects' choices. In the third experiment, another group of 17 computer-naive subjects used an alternative method of obtaining features for the command names. Suggestiveness calculated from this second set of features produced similar correlations with accuracy. Inspection of the model's inaccuracies reveals that they are due to its lack of context sensitivity, and that simple context-sensitive versions of it will have even greater predictive power.

© All rights reserved Rosenberg and/or Taylor and Francis

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