The goal of this study is to propose a novel hybrid model called picture fuzzy hypersoft expert sets. This hybrid model is a combination of picture fuzzy sets with hypersoft expert sets for dealing with uncertainties in various real-world group decision-making problems. Picture fuzzy sets are an extension of intuitionistic fuzzy sets, and their theory takes into account the degree of refusal during a decision-making process in addition to the degrees of acceptance and rejection. A more comprehensive version of intuitionistic fuzzy hypersoft expert sets is the hybrid model that has been suggested. Along with matching examples, certain novel desirable features of the proposed model namely, subset, equality, complement, union, and intersection are examined. For the constructed model, two renowned operations AND and OR are also examined. Additionally, a decision-making process under the suggested strategy is described, supported by an algorithmic framework. Additionally, an example application is offered for a more thorough explanation; however, it is contingent upon the choice of an appropriate virtual reality device provider. Lastly, the contrast between the started approach and a few current models such as intuitionistic fuzzy hypersoft expert sets is investigated.