Brain injuries can create life-altering challenges and have the potential to leave people with permanent disabilities. Art therapy is a popular method used for treating many of the disabilities that can accompany a brain injury. In a systematic review, an assessment of how art is being used in virtual reality (VR) was conducted, and the feasibility of brain injury patients to participate in virtual art therapy was investigated. Studies included in this review highlight the importance of artistic subject matter, sensory stimulation, and measurable performance outcomes for assessing the effect art therapy has on motor impairment in VR. Although there are limitations to using art therapy in a virtual environment, studies show that it can feasibly be used in virtual reality for neurorehabilitation purposes.

Integrating humans and autonomous machines in teams for the successful completion of complex, multi-objective tasks in dynamic or unknown environments can help improve the safety and efficiency of team members. For effective cooperation, human-machine teams require understanding team members' unique potentials, interdependent decision-making, and trust among all team members. To develop a framework that supports the human-machine teaming required of complex, multi-objective tasks, shared mental models, cognitive representations, and multi-directional trust calibration need to be investigated. Providing a shared mental model, cognitive load understanding, and situational awareness to agents allows human-machine teams to adapt to shortcomings and unexpected environmental threats, independently or conjointly make time-sensitive decisions, and improve safety of team members and efficiency of task performance. The goal of our research is to create a multi-objective decision-support framework that encourages the incorporation of trusted autonomous systems for effective cooperation in ad-hoc heterogeneous collaborative teams.