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Anticipatory and Invisible Interfaces to Address Impaired Proprioception in Neurological Disorders

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

Identiferoai:union.ndltd.org:asu.edu/item:57384
Date January 2020
ContributorsTadayon, Arash (Author), Panchanathan, Sethuraman (Advisor), McDaniel, Troy (Committee member), Krishnamurthi, Narayanan (Committee member), Davulcu, Hasan (Committee member), Li, Baoxin (Committee member), Arizona State University (Publisher)
Source SetsArizona State University
LanguageEnglish
Detected LanguageEnglish
TypeDoctoral Dissertation
Format137 pages
Rightshttp://rightsstatements.org/vocab/InC/1.0/

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