rendering system will be developed to visualize the outcome of the users’ choices in
intuitive ways. For example, users could choose to visualize a comparison of the
volume of waste created by each source, or visualize the fraction of US territory that
needs to be used for each source on a US map. Users will finally have the option to
share their personalized energy portfolio and metrics of choice through email and
social media.
After completing “The Energy Challenge”, participants will then enter the final
portion of the “Energy Report Card” where they will be able to suggest additional
issues they believe are important to consider when designing an energy portfolio.
Participants will also rate the importance of others’ suggestions, enabling
crowd-sourced insights. We apply Principal Component Analysis (PCA) to display
each participant’s suggestion on a two-dimensional plane. Each user is represented
Fig. 1 Example of the structure and functionalities of the “Energy Report Card”. The panels from
left to right, top to bottom show: introductory panel; example of quantitative assessment;
individual versus average assessment distribution; 2-D Principal Component Analysis display;
assessment of opinions of other users; user input panel. This example was adapted from the
“California Report Card” and actual name, content, metrics, functions, and graphics will be
developed as part of the proposed project
Development of a Knowledge Management System …
129
intuitive ways. For example, users could choose to visualize a comparison of the
volume of waste created by each source, or visualize the fraction of US territory that
needs to be used for each source on a US map. Users will finally have the option to
share their personalized energy portfolio and metrics of choice through email and
social media.
After completing “The Energy Challenge”, participants will then enter the final
portion of the “Energy Report Card” where they will be able to suggest additional
issues they believe are important to consider when designing an energy portfolio.
Participants will also rate the importance of others’ suggestions, enabling
crowd-sourced insights. We apply Principal Component Analysis (PCA) to display
each participant’s suggestion on a two-dimensional plane. Each user is represented
Fig. 1 Example of the structure and functionalities of the “Energy Report Card”. The panels from
left to right, top to bottom show: introductory panel; example of quantitative assessment;
individual versus average assessment distribution; 2-D Principal Component Analysis display;
assessment of opinions of other users; user input panel. This example was adapted from the
“California Report Card” and actual name, content, metrics, functions, and graphics will be
developed as part of the proposed project
Development of a Knowledge Management System …
129