Cite
A Dataset and Methodology for Self-Efficacy Feeling Prediction During Industry 4.0 VR Activity
MLA
Thibaud Bounhar, et al. “A Dataset and Methodology for Self-Efficacy Feeling Prediction During Industry 4.0 VR Activity.” 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Mar. 2022. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........49e68569894ae045e0ec3c92f4ddd05d&authtype=sso&custid=ns315887.
APA
Thibaud Bounhar, Zaher Yamak, Vincent Havard, & David Baudry. (2022). A Dataset and Methodology for Self-Efficacy Feeling Prediction During Industry 4.0 VR Activity. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).
Chicago
Thibaud Bounhar, Zaher Yamak, Vincent Havard, and David Baudry. 2022. “A Dataset and Methodology for Self-Efficacy Feeling Prediction During Industry 4.0 VR Activity.” 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), March. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........49e68569894ae045e0ec3c92f4ddd05d&authtype=sso&custid=ns315887.