Unilateral spatial neglect (USN) is a complex spatial attentional disorder consisting of a failure to attend to the contralesional side of space, frequently seen after a stroke. However, the majority of cases go undiagnosed due to the lack of a valid and reliable tool that is able to assess USN and its many variants. Recent technological advances in virtual reality (VR) and physiological sensors, allow for the study of this disorder under controlled, and ecologically-valid environments, which hold the promise of reliable and early detection. This proof of concept study aims to evaluate the feasibility of a system for discriminating different attentional states using a multimodal dataset derived from a spatial attention task conducted in VR. See more.