Craving a YumY u m ?

1. Craving a YumYum? CS 598 KGK Fall 2013 Feng Shan, Kristen Vaccaro & Kirstin Phelps Final Project Proposal

2. Motivation Audience: small groups (3-8) looking for a restaurant dining recommendation. Create a web-based application to help groups solve one of the ‘hardest’ questions – where to eat? – by focusing on user cravings.

3. Increased Abstraction Drag the dot to match your craving. Hot o Spicy Sweet Cold o

4. Signals • Ambiguity • greater allowance for Butler Lies - elegant way to opt out of lunch • Mitigating signals • Focus on desire/craving versus brand/specific restaurant • De-emphasize impression given • Social capital (opportunity to try new things, become ‘expert’ and diminish elitism “I’d never go there”)

5. Signal Costs • Ambiguity can: • cause hurt feelings if people opt out too often • decrease motivation to reach consensus • cause distrust of how system creates recommendation • Mitigating signals can: • decrease social capital of ‘foodies’ who gain status by recommending ‘the place’ people go • result in feelings of manipulation - users feel lack of control on own choice • decrease potential for showing alignment by negotiating a compromise

6. Deliverable • Insight into user • Web interface • Working algorithm(figure out the weights) • Stats/Evaluations (how many ‘users’ take our suggestions? )

7. Bits of Wisdom... • Please fill out our brief survey! • What are we overlooking? • What are important aspects of profile (outside of allergies, diet restrictions, pregnant (y/n)), that have impact on restaurant choices? • Suggestions on time & $ preferences? (15 min increments, $ - $$$$)