Acceso usuarios
Mishal Sohail, Muhammad Talha, Munib Ali
This study's major objective is to examine the impact of human-computer interaction on innovation and sports psychology. This research study utilized questions linked to independent and dependent variables based on primary data analysis to assess the research. This research study on human-computer interaction conducted in China also discusses innovation and sports psychology. Human-computer interaction is the primary independent variable; it encompasses computer science, cognitive science, and human factor engineering, all regarded as independent variables. Innovation and sports psychology are viewed as dependent factors. This research is based on original data from assessing the outcome with intelligent PLS software and generating useful results. The correlation, R-square, F-square values, and weighted average analysis illustrate the intelligent PLS Algorithm model. The overall findings indicate that human-computer interaction has a favorable and significant effect on innovation and sports psychology. Computer science has direct effects on sports psychology as well. Cognitive science has a close relationship with innovation and sports psychology.
