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Explore the current state of e-commerce and compare websites in various industries. Learn about incentives, expert influence, and social expectations. Discover the future of e-commerce web interfaces and innovative applications.
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CS 294-4 Final Presentation E-Commerce Comparison and its Future Steve Hu Computer Science 294 - Human Centered Computing
Presentation Outline • Electronic Commerce • Current E-Commerce • Incentives Website Comparison • Medical Website Comparison • Woman’s Website Comparison • Other Websites • Future E-Commerce Web Interface • Conclusion Computer Science 294 - Human Centered Computing
E-Commerce Background • E-Commerce will be $1.3+ trillion by 2003 • B2B/B2C/C2C - latter two represent 10% • Information + Intermediary = Infomediary • Result = Efficiency and Better Decisions Computer Science 294 - Human Centered Computing
Explicit pressure through incentives Incentives Website Comparison • Earn money or points through email, web clicks, shopping, surveys, and referrals • Shop with its vendors • Information, chat, portal, search • Incentives based advertising • Personal or corporate users Computer Science 294 - Human Centered Computing
Persuasive pressure through expert influence Medical Website Comparison • Expert information • Convenience - one stop place for consumers • Strategic partnerships • Network effects Computer Science 294 - Human Centered Computing
Implicit pressure through other’s expectations Woman’s Website Comparison • Social expectations • Key women issues • Expert opinions - Oprah Winfrey or Martha Stewart • One stop place for “woman” needs Computer Science 294 - Human Centered Computing
Other Websites of Interest • Matches advertisers more efficiently with visitors • Collaborative filtering for surfing • Gives users more information about products and services • Comparative shopping agent Computer Science 294 - Human Centered Computing
Future - Extempo Systems • Stanford intelligent agents laboratory • Give WWW more reality and life • Current web sites are lifeless • Better than cookies for market targeting and research Computer Science 294 - Human Centered Computing
Extempo Applications • Web Guides, Product Spokepersons, and Online Community Hosts • Personable • Guide, greet, engage, and entertain • Marketing • Memorable Computer Science 294 - Human Centered Computing
Concluding Thoughts and Issues • Large e-commerce market • Inevitable improvement • IBM example • Develop relationship with web visitor • use different social mechanisms • depends on the genre • Loyalty and stickiness • Privacy issue Computer Science 294 - Human Centered Computing
CS 294-4 Final Presentation E-Commerce Comparison and its Future Steve Hu Computer Science 294 - Human Centered Computing