scholarly journals Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking: First Insights

Author(s):  
Amine Abbad Andaloussi ◽  
Tijs Slaats ◽  
Andrea Burattin ◽  
Thomas T. Hildebrandt ◽  
Barbara Weber
2014 ◽  
Vol 74 (9-12) ◽  
pp. 1197-1211 ◽  
Author(s):  
Wuyi Ming ◽  
Guojun Zhang ◽  
He Li ◽  
Jianwen Guo ◽  
Zhen Zhang ◽  
...  

Author(s):  
Yiqin Yu ◽  
Xiang Li ◽  
Haifeng Liu ◽  
Jing Mei ◽  
Nirmal Mukhi ◽  
...  
Keyword(s):  

Author(s):  
Dietmar Winkler ◽  
Lukas Kathrein ◽  
Kristof Meixner ◽  
Peter Staufer ◽  
Michael Pauditz ◽  
...  

Author(s):  
Amine Abbad Andaloussi ◽  
Francesca Zerbato ◽  
Andrea Burattin ◽  
Tijs Slaats ◽  
Thomas T. Hildebrandt ◽  
...  

Author(s):  
Taku Harada ◽  
Kazuaki Mori ◽  
Akira Yoshizawa ◽  
Hirotoshi Iwasaki

A distracted state of a driver affects car driving state. The eye tracking can reveal an individual's psychological state. In this paper, we design a driver's cognitive process model by clearly indicating the relations between cognitive states, such as perception and memory, in the process to produce the driving action using the eye tracking data. It is important to consider degree of distraction. Therefore, we consider a cognitive distraction expressed both serially and quantitatively in the model. In this modeling, we utilize a production system framework, and the cognitive distracted state is managed by a module in the production system.


2018 ◽  
Vol 3 (5) ◽  
pp. 676-695 ◽  
Author(s):  
Mohamed Ouda ◽  
Franz Mantei ◽  
Kai Hesterwerth ◽  
Eleonora Bargiacchi ◽  
Harald Klein ◽  
...  

Concerning oxymethylene dimethyl ethers (OME), this work utilises a hybrid process model based on methanol (MeOH) and its partially selective conversion to anhydrous formaldehyde (FA), which in turn is used as the feed for OME synthesis.


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