| Full text | |
| Author(s): |
Pinheiro, Paulo Gurgel
;
Ramos, Josue J. G.
;
Donizete, Vander L.
;
Picanco, Pedro
;
De Oliveira, Gustavo H.
;
Zhang, D
;
Wei, B
Total Authors: 7
|
| Document type: | Journal article |
| Source: | MECHATRONICS AND ROBOTICS ENGINEERING FOR ADVANCED AND INTELLIGENT MANUFACTURING; v. N/A, p. 14-pg., 2017-01-01. |
| Abstract | |
Systems capable of recognizing and analyzing humans emotions can play an important role in many domains, especially for commercial or productivity purposes. Emotion-oriented systems are widely used in commercial area, but there is still a lack of them being applied as automatic tool in companies. One challenge is to highlight the impact these systems might have on employee satisfaction due to privacy issues and the sense of being monitored. In this work we propose a workplace emotion monitoring system capable of recognizing workers emotions, quantifying them and to provide data for productivity analysis. The system is able to capture the average office humor without using individual and private information. To validate the solution, the system was set up at a R&D Center during 10 workdays. The system was able to capture the emotions providing data for worker's productivity and job satisfaction analysis. (AU) | |
| FAPESP's process: | 13/26453-1 - Non-verbal information on human robot interaction applied on a robot receptionist |
| Grantee: | Josué Junior Guimarães Ramos |
| Support Opportunities: | Regular Research Grants |