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This document outlines innovative solutions for data analysis through a gaming perspective. It explores methods for conducting surveys to identify current behavioral patterns and understand the best timing for data innovation. By leveraging games for processing data, we propose new interactions that go beyond mere data processing to inspire researchers. Expanding on the concept of Games With A Purpose (GWAP), we introduce the idea of a data visualizer game filled with engaging elements like cards and events that serve as tools for both data representation and personal behavioral insights, paving the way for future research and development.
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Proposed Data Analysis Solutions A CMU ETC Perspective
Overview • Surveys • Review • Expanded Idea • Game Design • Future Work • Questions
Surveys • Written for the purpose of: • Discover current behavioral patterns • Discover behaviors to encourage/discourage • Find the best time to do data analysis
Innovation • Innovating on an existing Concept • Using games to process data has been done before • Games With A Purpose (GWAP, www.gwap.com) • The next step is to have a meaningful interaction • The goal is to not just process data, but generate further data as well as directly inspire researchers.
Expanded Idea • Data Visualizer • Game in the Data Visualizer • The Game
2D/3D Map • Human Location • Book Location • Foot Print in Corridor Figure2. Contour map Figure2. Contour map Figure1. Trajectory Figure1. Trajectory Figure3. Heatmap Figure3. Heatmap
Timeline Progress • PC Operation 2) Process ends here. NOTEPAD.EXE 3) Events are shown beside process bars. Open: \\Obex\share\12 NEC Research\Yosuga Project\WS_Experiment\20091210\csv\ws_yamaguchi_20091210.csv NOTEPAD.EXE 1) Process starts here. Open: C:\Windows\System32\win.ini 4) Color fades when window becomes active/inactive. FIREFOX.EXE Open: http://www.google.com/ ↑ Foreground Processes Open: http://www.mixi.com/ Timeline ↓ Background Processes WMPLAYER.EXE WMPLAYER.EXE 5) Processes that can affect your work even running in background will be shown separately.
Network 1. Group by color or size • E-mail 2. Click on a node to show individual information
Data Visualizer I: Drawbacks • Unintuitive • Boringeven with enhanced theme/skin • Difficult to manage multiple data at once
Data Visualizer II: Improvements • Help focusing on data composition • Easy to modify/manage • Better visual
Events & Cards: How it works • Cards are generated by events • Better/Harder event generates better cards • “Boost Point” exists for further reward
Card Deck: Visualization by Events • Review events by viewing the cards • Collection represents personal behavior • Play the Card Game with your own Cards!
Expanded Idea • Reviews only annotated events • Rewards given for each event
Future Work • Paper Prototyping • Choice of Engine • Process Survey Information
Reference • Data Visualization • http://www.webdesignerdepot.com/2009/06/50-great-examples-of-data-visualization/ • http://www.visualcomplexity.com/vc/ • http://senseable.mit.edu/worldseyes/publications.html • Small Games • http://www.ferryhalim.com/orisinal/ • http://www.gwap.com • Japanese Culture • http://www.osaka-info.jp/en/