Technologies have permeated every facet of people’s social life, and made significant impacts on people’s behaviors. In the meantime, it has been increasingly recognized that during such human-technology interactions, it is the human factors that ultimately determine the outcome of the interaction. At every step of the human-technology interactions, the human must make a myriad of decisions regarding the actual behaviors to perform, which directly produce the outcomes of the interactions. It is critical for us to have a better understanding of the human factors in technological environment, and leverage such understanding in developing human-technology interaction that would result in improved experiences for all stakeholders.

We adapt Mai’s (2020) Integrated Model of Human-Centric Information Security (IMOHCIS) to present a basic conceptual framework for the research in human factors in technological environments. As illustrated in Figure 1 of the Appendix, this framework systematically incorporates various factors that influence human cognitive functions and decision-making processes and illustrates how human cognitive activities result in actual technology interaction behaviors.

This basic framework focuses on human factors in technology environments at the individual level of the decision-makers. It can be extended to incorporate multi-decision-maker interactions in two significant dimensions (as illustrated in Figure 2 of the Appendix): quantitative dimension and qualitative dimension. Quantitative Dimension: individual decision-maker’s behaviors vs. group decision-makers’ behaviors. Qualitative Dimension: whether the multiple decision-makers are friendly or adversarial to each other. -Friendly: multiple decision-makers collaborating together to achieve a common goal during technology interactions. -Adversarial: multiple decision-makers competing with each other to achieve their own goals during technology itneractions.