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EARTH VENTURES 1:USABILITY AND UCD APPROACH TO SCIENTIFIC DEVELOPMENT

PRESENTER: SHWETA GUPTE

PRIMARY INVESTIGATORS : ALISON BOYER, DAINE WRIGHT, WINNIE KISTLER, SURESH VANNAN, CHRIS LINDSLEY, BOB COOK

Presenter: Shweta Gupte

ABOUT ORNL DAAC

The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) for biochemical dynamics

• one of 12 NASA Earth observing System Data and Information System (EOSDIS) data center which provides the scientific community access to data from the NASA Earth Science Missions.

The mission :

• assemble, distribute and provide services for archival of terrestrial biochemistry and ecological observations with the goal to facility research, education and decision making for NASA’s Earth Science.

The ORNL DAAC was recently funded to archive and distribute data from two NASA’s airborne missions, namely AirMOSS and CARVE.


https://daac.ornl.gov/index.shtml

EARTH VENTURES 1• CARVE(Carbon in Arctic Reservoirs

Vulnerability Experiment )

Collecting detailed measurements of important greenhouse gases on local to regional scales in the Alaskan Arctic and demonstrating new remote sensing and improved modeling capabilities to quantify Arctic carbon fluxes and carbon cycle-climate processes.

Source:http://science.nasa.gov/missions/carve/


EARTH VENTURES 1

AIRMOSS(Airborne Microwave Observatory of Subcanopy and Subsurface)

• improving the estimates of the north American net ecosystem exchange (NEE) through high-resolution observations of root zone soil

moisture (RZSM).

Source:https://airmoss.jpl.nasa.gov/science


MOTIVATION

The effectiveness of a visualization depends on perception,

cognition, and the users’ specific tasks and goals.

• How can we determine what a user’s goals are and

whether a system meets them?

• What design guidelines should we follow?

• How can we evaluate whether a design succeeds?


TERMINOLOGYContinuous Visualization Model

• Encompasses all visualization algorithms that use a continuous model of the data (i.e., the algorithm assumes that the phenomenon being studied is continuous, even if the data values are discrete) and is roughly analogous to “scientific visualization.”

Discrete Visualization Model

• includes visualization algorithms that use discrete data models and roughly corresponds to “information visualization.”

Source: Human Factors in Visualization Research by Melanie Tory and Torsten Moller


HUMAN FACTORS RESEARCH APPROACHESHCI methods that may be useful for designing and evaluating

visualization systems:

• User and Task-Based Design

• User Motivated Design

• Perception and Cognition-Based Design

• perception-based design guidelines are described

by Ware• set of visualization specific guidelines is based on

Nigay and Vernier• Prototype Implementation

• Testing- user studies, usability inspections

Source: Human Factors in Visualization Research by Melanie Tory and Torsten Moller


USER CENTERED PROCESS

Source: UCD image


http://www.limina-ao.com/approach/waterfall.html

TARGET AUDIENCE

14 responses

•ORNL DAAC

•UT

•CCSI

•Retired ORNL Personnel

•NOAA

•Jet Propulsion Lab

Affinity Diagram

Personas and Scenarios


PRODUCT PROTOTYPE


FUTURE WORK• Develop and evaluate task-specific input devices to aid

interaction,

• Reduce unnecessary navigation within and between tools (through better display design and integration of tools based on task requirements),

• Develop tools that provide cognitive support for insight and organization of ideas, and

• Exploit perception and cognition theories that have not yet been considered in visualization design.

• Get a functional website and the search and data order portal for the Earth Ventures

• Integrate usability and UCD so we get a finished product that impacts all aspects of user experience starting with learning the software ,installation, use, input and further development.


QUESTIONS


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