Human-Computer Interaction: Ergonomics and User Interfaces - Vol. 1

By Hans-Jörg Bullinger; Jürgen Ziegler | Go to book overview
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The proposed interface consists of two main windows; one is for overview of the BTS and the other is for the control and monitoring of subcomponents.

The proposed interface has been made adaptable in following ways. One is that the display format can be selected based on the operators preferences. The other is that the support functions both for novice and expert are available upon request. For example, the initial log data search and setting, which has been found to be important and time consuming task in the task analysis, is supported both for novices and experts. The support function for multivariate optimization procedure is provided mainly for novice operators. This function has two modes; one is single parameter mode and the other is two parameters mode. In single parameter mode, the operator select one specific control parameter and the support display provides the sensitivities to the resultant parameters. In two parameters mode, the operator selects one pair of parameters and the support display also provides the estimated value of the target in two-dimensional plane. These support functions, which has been designed based on the nominal behavior of expert operator, are offered mainly for novice operators.

The prototype interface has been evaluated by the expert operators and the review results were quite affirmative. Although the proposed system requires further feedback from the actual operators, the authors believe that the basic validity and effectiveness have been confirmed as far as the BTS is concern.


Conclusion

The method of cognitive task analysis has been successfully applied to the process of interface modification of the experimental accelerator system. The prototype interface has been developed, which aims to support extensive level of expertise. Although this project is still going on aiming at realizing fully computerized interface, the prototype system developed and actually installed at the accelerator facility has shown the basic validity of the present approach.


Acknowledgments

This work was supported by Grant-in-aid for Scientific Research (A)(2)-09308012


References

Takahashi, M., et. al. ( 1998). Preference-based MMI for Complex Task Environments, Proc. of the 7the IFAC/IFIP/IFORS/IEA Symposium of Analysis, Design and Evaluation of Man-Machine Systems, Kyoto Japan, 503-508.

Nielsen, J. ( 1993). Usability Engineering. Academic Press.

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