TY - GEN
T1 - Implement AI service into VR training
AU - Suttor, Joshua
AU - Marin, Julian
AU - Verbus, Evan
AU - Su, Meng
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/11/27
Y1 - 2019/11/27
N2 - In this paper, we described the implementation of using a collection of AI services in IBM Watson to facilitate user interaction in a virtual reality space for training simulations. The project aims to increase the efficiency of training employees in an organization, by creating an immersive 3D VR environment tailored to a specific profession. Current training methods usually require an expert of the field to be hired in order to personally train these employees. The main goal of the project is to create a standard training environment which can be used and tailored by companies to train these employees without adding an additional cost.
AB - In this paper, we described the implementation of using a collection of AI services in IBM Watson to facilitate user interaction in a virtual reality space for training simulations. The project aims to increase the efficiency of training employees in an organization, by creating an immersive 3D VR environment tailored to a specific profession. Current training methods usually require an expert of the field to be hired in order to personally train these employees. The main goal of the project is to create a standard training environment which can be used and tailored by companies to train these employees without adding an additional cost.
UR - http://www.scopus.com/inward/record.url?scp=85079093364&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85079093364&partnerID=8YFLogxK
U2 - 10.1145/3372806.3374909
DO - 10.1145/3372806.3374909
M3 - Conference contribution
AN - SCOPUS:85079093364
T3 - ACM International Conference Proceeding Series
SP - 114
EP - 121
BT - Proceedings of 2019 2nd International Conference on Signal Processing and Machine Learning, SPML 2019
PB - Association for Computing Machinery
T2 - 2nd International Conference on Signal Processing and Machine Learning, SPML 2019
Y2 - 27 November 2019 through 29 November 2019
ER -