abstract: The burden of adaptation has been a major limiting factor in the adoption rates of new wearable assistive technologies. This burden has created a necessity for the exploration and combination of two key concepts in the development of upcoming wearables: anticipation and invisibility. The combination of these two topics has created the field of Anticipatory and Invisible Interfaces (AII) In this dissertation, a novel framework is introduced for the development of anticipatory devices that augment the proprioceptive system in individuals with neurodegenerative disorders in a seamless way that scaffolds off of existing cognitive feedback models. The framework suggests three main categories of consideration in the development of devices which are anticipatory and invisible: • Idiosyncratic Design: How do can a design encapsulate the unique characteristics of the individual in the design of assistive aids? • Adaptation to Intrapersonal Variations: As individuals progress through the various stages of a disability/neurological disorder, how can the technology adapt thresholds for feedback over time to address these shifts in ability? • Context Aware Invisibility: How can the mechanisms of interaction be modified in order to reduce cognitive load? The concepts proposed in this framework can be generalized to a broad range of domains; however, there are two primary applications for this work: rehabilitation and assistive aids. In preliminary studies, the framework is applied in the areas of Parkinsonian freezing of gait anticipation and the anticipation of body non-compliance during rehabilitative exercise. / Dissertation/Thesis / Doctoral Dissertation Computer Science 2020