model human processor
Recently Published Documents


TOTAL DOCUMENTS

29
(FIVE YEARS 1)

H-INDEX

8
(FIVE YEARS 0)

2019 ◽  
Vol 159 ◽  
pp. 2005-2014
Author(s):  
Nanako Shimizu ◽  
Toshitaka Higashino ◽  
Masato Soga

2017 ◽  
Vol 112 ◽  
pp. 2040-2047 ◽  
Author(s):  
Toshitaka Higashino ◽  
Yudai Asano ◽  
Masato Soga

Author(s):  
Heejin Jeong ◽  
Yili Liu

Although swiping (also called flicking) is one of the commonly used touchscreen gestures, few modeling studies have been conducted. In this paper, a computational model that focuses on touchscreen swipe gestures was developed by extending the QN-MHP (Queuing Network-Model Human Processor) architecture. The model assumed that the swiped-route follows a three-dimensional path. To model the finger swipe gesture, an operator (i.e., “ Swipe-with-finger”) for the Queuing Network Cognitive Architecture was developed using an existing regression equation for predicting the finger movement time in 3D space (Cha and Myung, 2013). The model was validated with two corresponding experimental results in the literature. As a result, the swiping times generated by the model were well fit with the human subject data.


Sign in / Sign up

Export Citation Format

Share Document