resto restaurant menu helper by: shashank ranjan, amlan pradhan, rohit kumar malik problem to be...

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Resto Restaurant Menu Helper By: Shashank Ranjan, Amlan Pradhan, Rohit Kumar Malik Problem to be addressed: New international students face problems and embarrassment in conveying orders at restaurants •What is the food item? •What is it called here? •How to pronounce it correctly?

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Page 1: Resto Restaurant Menu Helper By: Shashank Ranjan, Amlan Pradhan, Rohit Kumar Malik Problem to be addressed: New international students face problems and

RestoRestaurant Menu Helper

By: Shashank Ranjan, Amlan Pradhan, Rohit Kumar Malik

Problem to be addressed: New international students face problems and embarrassment in conveying orders at restaurants •What is the food item?•What is it called here?•How to pronounce it correctly?

Page 2: Resto Restaurant Menu Helper By: Shashank Ranjan, Amlan Pradhan, Rohit Kumar Malik Problem to be addressed: New international students face problems and

Existing Systems

Page 3: Resto Restaurant Menu Helper By: Shashank Ranjan, Amlan Pradhan, Rohit Kumar Malik Problem to be addressed: New international students face problems and

Our Interface

Page 4: Resto Restaurant Menu Helper By: Shashank Ranjan, Amlan Pradhan, Rohit Kumar Malik Problem to be addressed: New international students face problems and

User Study Conditions• Number of Participants – 33• Target population- Indian Students studying at

University of Florida – Frequently visit fast food restaurants around the campus– Face difficulty with names and pronunciations of food

items• Comparison against multiple systems– Users use varied systems to solve this problem

• Study Conditions– Within subjects/repeated measures– First explain and rate the existing methods used– Then use application for a week as many times as desired.

Page 5: Resto Restaurant Menu Helper By: Shashank Ranjan, Amlan Pradhan, Rohit Kumar Malik Problem to be addressed: New international students face problems and

Results and Analysis• Statistical Test Performed: Correlated Samples T-test• Primary Hypothesis:

–p-value <.0001 – given result is unlikely to change– t-value = +7.33 – recommendation score for our app are higher

• Secondary Hypothesis:

–p-value = 0.0003 – given result is unlikely to change– t-value = -3.81 – embarrassment level of our app is lower

Existing Systems Resto

Mean 4.5455 8.1515

Standard Deviation 2.49 1.39

Existing Systems Resto

Mean 5.6364 2.8788

Standard Deviation 3.22 2.50

Page 6: Resto Restaurant Menu Helper By: Shashank Ranjan, Amlan Pradhan, Rohit Kumar Malik Problem to be addressed: New international students face problems and

Conclusion• We reject the null hypothesis of our primary

hypothesis – Our app is as good or better than previous

employed methods for building or conveying orders at restaurants.

• We reject the null hypothesis of our secondary hypothesis– Our app is as or more comfortable to use than

previous methods employed by the users.