Publication statistics
Pub. period:1991-1998
Pub. count:6
Number of co-authors:18
Co-authors
Number of publications with 3 favourite co-authors:
Mike DeVaney:2Jim Thomas:2Dave Feller:2 Productive colleagues
Anne Schur's 3 most productive colleagues in number of publications:
Jim Thomas:15James J. Thomas:10James A. Wise:5
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Anne Schur
Publications by Anne Schur (bibliography)
Schur, Anne, Keating, Kelly A., Payne, Deborah A., Valdez, Tom, Yates, Kenneth R. and Myers, James D. (1998): Collaborative Suites for Experiment-Oriented Scientific Research. In Interactions, 5 (3) pp. 40-47.
Wise, James A., Thomas, James J., Pennock, Kelly, Lantrip, D., Pottier, M., Schur, Anne and Crow, V. (1995): Visualizing the non-visual: spatial analysis and interaction with information from text documents. In: Gershon, Nahum D. and Eick, Stephen G. (eds.) InfoVis 1995 - IEEE Symposium On Information Visualization 30-31 October, 1995, Atlanta, Georgia, USA. pp. 51-58.
Dodson, Mike G., Schur, Anne and Heubach, Janet G. (1993): Contaminant Analysis Automation Demonstration Proposal. In: Proceedings of the Human Factors and Ergonomics Society 37th Annual Meeting 1993. p. 1039.
“The nation-wide and global need for environmental restoration and waste remediation (ER&WR) presents significant challenges to the analytical chemistry laboratory. The expansion of ER&WR programs forces an increase in the volume of samples processed and the demand for analysis data. To handle this expanding volume, productivity must be increased. However, the need for significantly increased productivity faces a contaminant analysis process which is costly in time, labor, equipment, and safety protection. Laboratory automation offers a cost effective approach to meeting current and future contaminant analytical laboratory needs. The proposed demonstration will present a proof-of-concept automated laboratory conducting varied sample preparations. This automated process also highlights a graphical user interface that provides supervisory control and monitoring of the automated process. The demonstration provides affirming answers to the following questions about laboratory automation: * Can preparation of contaminants be successfully automated? * Can a full-scale working proof-of-concept automated laboratory be developed that is capable of preparing contaminant and hazardous chemical samples? * Can the automated processes be seamlessly integrated and controlled? * Can the automated laboratory be customized through readily convertible design? * Can automated sample preparation concepts be extended to the other phases of the sample analysis process? To fully reap the benefits of automation, four human factors areas should be studied and the outputs used to increase the efficiency of laboratory automation. These areas include: 1) laboratory configuration, 2) procedures, 3) receptacles and fixtures, and 4) human-computer interface for the full automated system and complex laboratory information management systems.”
© All rights reserved Dodson et al. and/or Human Factors Society
Schur, Anne, Feller, Dave, DeVaney, Mike, Thomas, Jim and Yim, Morgan (1991): EASI: An Electronic Assistant for Scientific Investigation. In: Proceedings of the Human Factors Society 35th Annual Meeting 1991. pp. 393-397.
“Although many automated tools support the productivity of professionals (engineers, managers, architects, secretaries, etc.), none specifically address the needs of the scientific researcher. The scientist's needs are complex and the primary activities are cognitive rather than physical. The individual scientist collects and manipulates large data sets, integrates, synthesizes, generates, and records information. The means to access and manipulate information are a critical determinant of the performance of the system as a whole. One hindrance in this process is the scientist's computer environment, which has changed little in the last two decades. Extensive time and effort is demanded from the scientist to learn to use the computer system. This paper describes how chemists' activities and interactions with information were abstracted into a common paradigm that meets the critical requirement of facilitating information access and retrieval. This paradigm was embodied in EASI, a working prototype that increased the productivity of the individual scientific researcher.”
© All rights reserved Schur et al. and/or Human Factors Society
Schur, Anne, Feller, Dave, DeVaney, Mike, Thomas, Jim and Yim, Morgan (1991): An Electronic Assistant for Scientific Investigation Working Prototype. In: Proceedings of the Human Factors Society 35th Annual Meeting 1991. p. 1167.
“Although many automated tools support the productivity of professionals (engineers, managers, architects, secretaries, etc.), none specifically address the needs of the scientific researcher. The scientist's needs are complex and the primary activities are cognitive rather than physical. The individual scientist collects and manipulates large data sets, integrates, synthesizes, generates, and records information. The means to access and manipulate information are a critical determinant of the performance of the system as a whole. One hindrance in this process is the scientist's computer environment, which has changed little in the last two decades. Extensive time and effort is demanded from the scientist to learn to use the computer system. A common paradigm that meets the critical requirement of facilitating information access and retrieval by the chemist is demonstrated. This paradigm was embodied in EASI, a working prototype that increased the productivity of the individual scientific researcher.”
© All rights reserved Schur et al. and/or Human Factors Society
Hunt, Steven and Schur, Anne (1991): The User Oriented Evaluation Process: A Process for Preserving User Needs during Iterative System Test and Evaluation. In: Proceedings of the Human Factors Society 35th Annual Meeting 1991. pp. 1336-1340.
“A system development process, called the User Oriented Evaluation (UOE) process, and an evaluation tool were created to place greater emphasis on user needs during computer system development. The UOE process is an iterative method for design that emphasizes the role of the user as the initiator of system requirements; evolutionary design requirement definition by enabling users and developers to experiment through the use of prototypes at all phases of system design; and appropriate utilization of developer and user areas of expertise. The evaluation tool is an integral part of the UOE process and provides the ability to solicit on-line meaningful feedback from users in real-time, and a means to capture a user's on-going experience with the computer system. The paper contains a description of the UOE process and the evaluation tool, the capabilities of each and the history of their development.”
© All rights reserved Hunt and Schur and/or Human Factors Society
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