SmartState: A Protocol-driven Human Interface

Abstract

Since the inception of human research studies, researchers must often interact with participants on a set schedule to collect data. Researchers manually perform many interactions, leading to considerable time and financial expenses. Usually, user-provided data collection consists of surveys administered via telephone or email. These methods are tedious for the survey administrators, which could cause fatigue and potentially lead to collection mistakes. This project leverages recent advancements in automatic speech recognition, speech-to-text, natural language understanding (NLU), and finite-state machines to automate research protocols. This generalized application is fully customizable and irrespective of any research study. New research protocols can be quickly created based on these parameters once envisioned. Thus, we present SmartState, a fully-customizable, state-driven protocol manager combined with supporting AI components to autonomously manage user data and intelligently determine users' intentions through chat and end-device interactions.Comment: 8 pages, 8 figure