scholarly journals CogTool+

2021 ◽  
Vol 28 (2) ◽  
pp. 1-38
Author(s):  
Haiyue Yuan ◽  
Shujun Li ◽  
Patrice Rusconi

Cognitive modeling tools have been widely used by researchers and practitioners to help design, evaluate, and study computer user interfaces (UIs). Despite their usefulness, large-scale modeling tasks can still be very challenging due to the amount of manual work needed. To address this scalability challenge, we propose CogTool+, a new cognitive modeling software framework developed on top of the well-known software tool CogTool. CogTool+ addresses the scalability problem by supporting the following key features: (1) a higher level of parameterization and automation; (2) algorithmic components; (3) interfaces for using external data; and (4) a clear separation of tasks, which allows programmers and psychologists to define reusable components (e.g., algorithmic modules and behavioral templates) that can be used by UI/UX researchers and designers without the need to understand the low-level implementation details of such components. CogTool+ also supports mixed cognitive models required for many large-scale modeling tasks and provides an offline analyzer of simulation results. In order to show how CogTool+ can reduce the human effort required for large-scale modeling, we illustrate how it works using a pedagogical example, and demonstrate its actual performance by applying it to large-scale modeling tasks of two real-world user-authentication systems.

SoftwareX ◽  
2021 ◽  
Vol 15 ◽  
pp. 100747
Author(s):  
José Daniel Lara ◽  
Clayton Barrows ◽  
Daniel Thom ◽  
Dheepak Krishnamurthy ◽  
Duncan Callaway

2021 ◽  
Vol 61 (2) ◽  
pp. 653-663
Author(s):  
Sankalp Jain ◽  
Vishal B. Siramshetty ◽  
Vinicius M. Alves ◽  
Eugene N. Muratov ◽  
Nicole Kleinstreuer ◽  
...  

2011 ◽  
Vol 11 (9) ◽  
pp. 4533-4546 ◽  
Author(s):  
P. Tulet ◽  
N. Villeneuve

Abstract. In April 2007, the Piton de la Fournaise volcano (Réunion island) entered into its biggest eruption recorded in the last century. Due to the absence of a sensors network in the vicinity of the volcano, an estimation of degassing during the paroxysmal phase of the event has not been performed. Nevertheless, the SO2 plume and aerosols have been observed by the OMI and CALIOP space sensors, respectively. The mesoscale chemical model MesoNH-C simulates the observed bulk mass of SO2 and the general shape of the SO2 plume spreading over the Indian Ocean. Moreover, an analysis of the SO2 plume budget estimates a total SO2 release of 230 kt, among of which 60 kt have been transformed into H2SO4. 27 kt of SO2 and 21 kt of H2SO4 have been deposited at the surface by dry deposition. With this top down approach, the temporal evolution of the SO2 emission has been estimated during the most active period of the eruption. The peak of degassing was estimated at 1800 kg s−1 in the morning of 6~April. The temporal evolution of SO2 emission presented here can also be used for local studies.


Author(s):  
Bin Zhu ◽  
Ren-peng Chen ◽  
Jie-feng Guo ◽  
Ling-gang Kong ◽  
Yun-min Chen

2014 ◽  
Vol 1 (34) ◽  
pp. 9 ◽  
Author(s):  
Ali Abdolali ◽  
Claudia Cecioni ◽  
Giorgio Bellotti ◽  
Paolo Sammarco

2013 ◽  
Vol 28 (2) ◽  
pp. 894-902 ◽  
Author(s):  
Johannes Rolink ◽  
Christian Rehtanz

2012 ◽  
Vol 102 (3) ◽  
pp. 490a-491a ◽  
Author(s):  
Andrei L. Lomize ◽  
Henry I. Mosberg ◽  
Irina D. Pogozheva

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