A tool for creating predictive performance models from user interface demonstrations

Author(s):  
Scott E. Hudson ◽  
Bonnie E. John ◽  
Keith Knudsen ◽  
Michael D. Byrne
2014 ◽  
Vol 81 ◽  
pp. 255-269 ◽  
Author(s):  
Franci Pusavec ◽  
Ashish Deshpande ◽  
Shu Yang ◽  
Rachid M'Saoubi ◽  
Janez Kopac ◽  
...  

1989 ◽  
Vol 33 (2) ◽  
pp. 96-100 ◽  
Author(s):  
Christopher D. Wickens ◽  
Inge Larish ◽  
Aaron Contorer

This symposium presents five models that predict how performance of multiple tasks will interact in complex task scenarios. The models are discussed, in part, in terms of the assumptions they make about human operator divided attention. The different assumptions about attention are empirically validated in a multitask helicopter flight simulation reported in the present paper. It is concluded from this simulation that the most important assumption relates to the coding of demand level of different component tasks. The potential gains to be made multiple resource assumptions remain uncertain.


Author(s):  
Bonnie E. John

Cognitive human performance models have enjoyed a rich history in human-computer interaction but have yet to make a widespread impact in system design, possibly because they are difficult to construct. We employed user-centered design techniques to develop a new tool that is easier to use than previous methods or tools. CogTool combines a familiar method of prototyping, modeling by demonstration, and the ACT-R cognitive architecture to enable user interface designers to make valid human performance models with little effort.


2009 ◽  
Vol 19 (04) ◽  
pp. 619-639 ◽  
Author(s):  
KEI DAVIS ◽  
KEVIN J. BARKER ◽  
DARREN J. KERBYSON

We present predictive performance models of two of the petascale applications, S3D and GTC, from the DOE Office of Science workload. We outline the development of these models and demonstrate their validation on an Opteron/Infiniband cluster and the pre-upgrade ORNL Jaguar system (Cray XT3/XT4). Given the high accuracy of the full application models, we predict the performance of the Jaguar system after the upgrade of its nodes, and subsequently compare this to the actual performance of the upgraded system. We then analyze the performance of the system based on the models to quantify bottlenecks and potential optimizations. Finally, the models are used to quantify the benefits of alternative node allocation strategies, and to quantify performance degradation resulting from inter-process competition for network resources.


Author(s):  
M.A. O’Keefe ◽  
J. Taylor ◽  
D. Owen ◽  
B. Crowley ◽  
K.H. Westmacott ◽  
...  

Remote on-line electron microscopy is rapidly becoming more available as improvements continue to be developed in the software and hardware of interfaces and networks. Scanning electron microscopes have been driven remotely across both wide and local area networks. Initial implementations with transmission electron microscopes have targeted unique facilities like an advanced analytical electron microscope, a biological 3-D IVEM and a HVEM capable of in situ materials science applications. As implementations of on-line transmission electron microscopy become more widespread, it is essential that suitable standards be developed and followed. Two such standards have been proposed for a high-level protocol language for on-line access, and we have proposed a rational graphical user interface. The user interface we present here is based on experience gained with a full-function materials science application providing users of the National Center for Electron Microscopy with remote on-line access to a 1.5MeV Kratos EM-1500 in situ high-voltage transmission electron microscope via existing wide area networks. We have developed and implemented, and are continuing to refine, a set of tools, protocols, and interfaces to run the Kratos EM-1500 on-line for collaborative research. Computer tools for capturing and manipulating real-time video signals are integrated into a standardized user interface that may be used for remote access to any transmission electron microscope equipped with a suitable control computer.


2004 ◽  
Author(s):  
Brian Dorn ◽  
Daniel Zelik ◽  
Harisudhakar Vepadharmalingam ◽  
Mayukh Ghosh ◽  
S. Keith Adams
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