NASA logo
NASA SISM
Intelligent Systems Project
Human-Centered Computing
Research Task
IS Logo

IS Tasks | HCC Tasks | DS Tasks
IS:  Previous | Next  ||  HCC:  Previous | Next


Work Practice Simulation Environment for Habitat Design and Scheduling

NASA Ames Research Center

Bill Clancey (ARC/IC)



Abstract


Exploring Mars Agent-based simulation can be a powerful tool for designing efficient habitats and work environments, or for optimizing crew task assignments and schedules. This research task will model small-team behavior in a restricted setting, developing realistic Brahms simulations of human interactions with each other and with their information systems and physical environment. This will require realistic modeling of human expertise, scheduling of work and life-support operations, and generation of protocols for mixed-initiative systems, all modeled from recorded field practices. Agent-based virtual-reality animations will simplify development and validation of the simulations. The goal is to simulate the scientific work, scheduling, and daily living of astronauts. Simulation can then be used in what-if mode to design smart habitats for productive work and comfortable living.


Task Description


Objective:

Design of efficient habitats and work environments is difficult. Agent-based simulation can be a powerful tool for such design and for optimizing crew task assignments and schedules. Investigators will model small-team behavior in a restricted setting such as the Flashline Mars Arctic Research Station (FMARS). They will develop realistic Brahms simulations of human interactions with other humans and with information systems and the physical environment. This will require realistic modeling of human expertise, scheduling of work and life-support operations, and generation of protocols for mixed-initiative systems, all modeled from recorded field practices. Modeling will include robotic systems and software agents, and will incorporate Brahms-based support for field operations. Agent-based virtual-reality animations will simplify development and validation of the simulations. The goal is to simulate the scientific work, scheduling, and daily living of astronauts. Simulation can then be used in what-if mode to design smart habitats for productive work and comfortable living.


Applications:

Methodology for studying field operations data; habitat and work space design for remote science and exploration systems; improved Mars living and working environments.


NASA Benefit:

This research in model-based C3I design for distributed teamwork will improve crew selection, operations planning, and mission support, and will aid design of smart habitats for productive work and comfortable living. The tools can be extended to any habitat, such as the International Space Station (ISS) or lunar bases.


Keywords:

agent simulation, crew operations studies, task scheduling, habitat design, team behavior


Images:

PI slides.



Research Plan


Prior Technology:

Rules of thumb; design reuse; simulations; field tests.


FY04 Milestone:

"Model-to-Control" proof of concept for human-robotic teams.



Progress


FY04 Quadchart Slide:

HCC_NRA_Clancey_HabDsgn.ppt.


Accomplishments:

Integrated models with Digital Space; simulated FMARS in Brahms with VR graphics; simulated FMARS analog expeditions with human-robotic exploration; videotaped, logged, and studied interactions during routine activities; planned and scheduled crew activities; integrated remote communication and local speech interfaces. Integrated technologies from four other IS/HCC tasks; completed field tests in challenging analog environments (Arctic, desert) with human-robotic teams in realistic exploration scenarios.


Papers:

"Field Science Ethnography," Field Methods, Aug 01.

"Simulating activities," Cognitive Systems Research.

"A Framework for Analog Studies of Mars Surface Operations," Proc. Mars Society Conference, Aug 00.



For More Information


Related Web Pages:

Research group page.


Contacts:

William J. Clancey (PI), Ames Research Center (Code IC).
Maarten Sierhuis (Co-I), USRA RIACS.
Pascal C. Lee (Co-I), SETI Institute at ARC.



Intelligent Systems | Human-Centered Computing | Decision Systems
IS:  Previous | Next  ||  HCC:  Previous | Next

Responsible NASA Official: Joseph C. Coughlan.
Project Support: Kenneth I. Laws / Updated: 10-Nov-2004
Mail Stop 269-3, NASA Ames Research Center, Moffett Field, CA 94035-1000

NASA Privacy Statement.
For Section 508-accessible information, contact access@mail.arc.nasa.gov.