Modeling and control of trust in human and robot collaborative manufacturing

AAAI Spring Symposium - Technical Report

Volumn SS-14-04, Issue , 2014, Pages 64-70

  Sadrfaridpour, Behzad ^a   Saeidi, Hamed ^a   Wang, Yue ^a   Burke, Jenny ^b  

^a South   (United States)

^b BOEING COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN ROBOT INTERACTION; MANUFACTURE;

COLLABORATIVE MANUFACTURING; DEGREE OF AUTONOMY; HUMAN PERFORMANCE MODEL; HUMAN ROBOT INTERACTION (HRI); INTELLIGENCE ALGORITHMS; MODELING AND CONTROL; ROBOT PERFORMANCE; WORK WITH EACH OTHERS;

INTELLIGENT ROBOTS;

EID: 84904890153     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Charalambous, G. 2013. Human-automation collaboration in manufacturing: Identifying key implementation factors. In Contemporary Ergonomics and Human Factors 2013: Proceedings of the International Conference on Ergonomics and Human Factors 2013, 59.
2. Fayazi, S.; Wan, N.; Lucich, S.; Vahidi, A.; and Mocko, G. 2013. Optimal pacing in a cycling time-trial considering cyclist's fatigue dynamics. In American Control Conference (ACC), 2013, 6442-6447.
3. Goodrich, M. A., and Schultz, A. C. 2007. Human-robot interaction: a survey. Foundations and Trends in Human-Computer Interaction 1(3):203-275. (Pubitemid 351344901)
4. Hagan, M., and Demuth, H. 1999. Neural networks for control. In American Control Conference, 1999. Proceedings of the 1999, volume 3, 1642-1656 vol.3.
5. Karwowski, W., and Rahimi, M., eds. 2003. Human-Robot Interaction. Taylor & Francis Inc.
6. Lee, J., and Moray, N. 1992. Trust, control strategies and allocation of function in human-machine systems. Ergonomics 35(10):1243-1270.
7. Lee, J. D., and See, K. A. 2004. Trust in automation: Designing for appropriate reliance. Human Factors: The Journal of the Human Factors and Ergonomics Society 46(1):50-80.
8. Lewandowsky, S.; Mundy, M.; and Tan, G. 2000. The dynamics of trust: comparing humans to automation. Journal of Experimental Psychology: Applied 6(2):104.
9. Liu, J. Z.; Brown, R. W.; and Yue, G. H. 2002. A dynamical model of muscle activation, fatigue, and recovery. Biophysical Journal 82(5):2344-2359. (Pubitemid 34441276)
10. Ma, L.; Chablat, D.; Bennis, F; and Zhang, W. 2009. A new simple dynamic muscle fatigue model and its validation. International Journal of Industrial Ergonomics 39(1):211-220.
11. Ma, L.; Chablat, D.; Bennis, F.; Zhang, W.; and Guillaume, F. 2010. A new muscle fatigue and recovery model and its ergonomics application in human simulation. Virtual and Physical Prototyping 5(3):123-137.
12. Mehrotra, K.; Mohan, C. K.; and Ranka, S. 1997. Elements of artificial neural networks. MIT Press.
13. Moray, N.; Inagaki, T.; and Itoh, M. 2000. Adaptive automation, trust, and self-confidence in fault management of time-critical tasks. Journal of Experimental Psychology: Applied 6(1):44.
14. Shi, J.; Jimmerson, G.; Pearson, T.; and Menassa, R. 2012. Levels of human and robot collaboration for automotive manufacturing. In Proceedings of the Workshop on Performance Metrics for Intelligent Systems, PerMIS '12, 95-100. New York, NY, USA: ACM.