Computational Model of Emotion Generation for Human–Robot Interaction Based on the Cognitive Appraisal Theory

2010 ◽  
Vol 60 (2) ◽  
pp. 263-283 ◽  
Author(s):  
Hyoung-Rock Kim ◽  
Dong-Soo Kwon
2018 ◽  
Vol 60 (2) ◽  
pp. 174-188 ◽  
Author(s):  
Jong-Hyeong Kim

In this context of the recent political dispute between China and South Korea, this study examines the influence of the animosity of Chinese ethnic diners. By extending cognitive appraisal theory, this study develops an animosity model that links animosity beliefs, negative emotions, switching intentions, and the moderators of localization and corporate social responsibility (CSR) practices. The results show that animosity beliefs significantly affect switching intention both directly and indirectly through negative emotion. We also find that ethnic restaurants’ localization practices and CSR practices to support the local community alleviate the animosity effect on negative emotions associated with dining in an ethnic restaurant that has the cultural theme of the offending country. The results allow ethnic restaurateurs to gain insights into how to develop effective marketing strategies during crisis periods when animosity erupts against the country of origin of their ethnic cuisine.


2018 ◽  
Vol 1 (3) ◽  
pp. 12
Author(s):  
Denis Mosconi ◽  
Polyana Ferreira Nunes ◽  
Adriano Almeida Gonçalves Siqueira

One-third of the stroke survivors remain with some disability, needing assistance to perform the activities of daily life and therapy to recover the lost functions.  The robotic rehabilitation is a promissed field in this context improving the effectiveness of the treatment. Many researches have focused on developing human-robot interaction control to ensure user safety and therapy efficiency, but the validation of these controllers often requires contact between humans and robots, which involves cost, time and risk of accidents. This work aims to present a computational model of an ideal active orthosis used to assist the knee movement as a tool for test and validate human-robot interaction controls. Three controllers were applied to make the orthosis move the knee tracking the desired trajectory: a PID controller, an Inverse Dynamics-Based controller, and a Feedback-Feedforward Controller. The model proved to be useful and the controller with the best performance was the Feedback-Feedforward one.


2009 ◽  
Vol 14 (2) ◽  
pp. 328-338 ◽  
Author(s):  
Christina S. Meade ◽  
Jianping Wang ◽  
Xiuyun Lin ◽  
Hao Wu ◽  
Paul J. Poppen

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