SIFT

Description

SIFT personnel have more than 20 years of experience in constructing computational reasoning approaches to UI design and management. SIFT's work in this field has collectively evolved, evaluated and demonstrated a representation and reasoning approach with more power and a far greater pedigree than most. Our approach offers a rich description of the information needs of user tasks, of the information provided by displays and, through computational reasoning over these descriptions, the ability to quantify when, how and to what degree UI meets the needs of users. Much, but not all, of our work has been done for military aircraft, including the U.S. Army’s Rotorcraft Pilot’s Associate (RPA). In RPA, we demonstrated one of the few automated interface reasoning systems yet to operate and provide benefit in a live flight test vehicle. We have also applied these techniques to displays for military command and control, oil refinery operations, automobile and truck driving, building security and comfort management and coordinated aiding and monitoring devices for home care for the elderly.

Mrs. Schmer-Galunder is currently the PI of CALM (Continuous Anger Level Management), a Phase I SIBR funded by the Telemedicine & Advanced Technology Research Center (TATRC). The goal of the project is to provide help for PTSD-diagnosed veterans who have problems with anger control. CALM integrates evidence-based therapeutic approaches with remote physiological monitoring to provide innovative solutions.

ANSIBLE is a multi-modal toolset that can be used pre, during, and post flight to connect a flight crew with their family, friends, and the ground crew to provide a sense of social consistency and permanence. ANSIBLE 1) adapts, rearranges, and modifies human interaction streams to minimize the disruptive impact of communication latencies and 2) leverages virtual worlds (VW) to provide a space where humans and intelligent virtual agents (VA) can be companions, advisors, provided psychological support, and share experiences.

Ms. Wu’s research interests include optimizing information flow between humans and machines by leveraging theoretically-based concepts from sociology and human factors domains. Ms. Wu was awarded a NASA contract to explore the use of virtual environments to provide psychological support for astronauts in a deep space mission. She is also a performer in a 3-year NASA funded grant to develop unobtrusive linguistic based methods of detecting psychosocial dimensions relevant to long duration space flight, tested at the NASA bed rest facility based in Houston, TX, as well as the Hawaii Space Analog and Exploration facility. Ms. Wu has served as PI for the AFRL sponsored Phase I SBIR, CONCEIVE, which has the goal of using a well grounded human factors method, Ecological Interface Design, to study the environment of Air Operation Centers and create novel data visualizations to improve performance.

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