1. Masters Dissertation
“Smart Cafeteria” Adaptive And Interactive Mobile Application
Supta Richard Philip 1
Supervisor: Professor Antonella De Angeli
1M.Sc. in Computer Science
Department of Information Engineering and Computer Science
University of Trento, Italy.
July 16, 2013

2. Outline
1 Problem Statement
Scenarios
Objective
Proposed Solution
2 Analysis
Stakeholders
Functional & Non Functional
Requirements
Data Gathering & More
Requirements
3 Design
Desktop Prototype
Mobile Prototype
4 Usability Evaluation
Evaluation Methodology
Evaluation Result
5 Conclusion
Supta R. Philip (University of Trento) Masters Dissertation July 16, 2013 1 / 20

3. Scenarios and Problem
Hungry Students and Busy Professors
How to skip the long queue.
How could know Today’s menu.
How could find appropriate menu(calorie, price).
Collaborate and share feeling.
How technology can help.
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4. Objective
Services:
Cafeteria Queue Skipper.
Menu Finder.
Menu Suggester and Dieting Adviser.
Customized Menu creator.
Lunch with Friends.
System should:
provide online cafeteria services.
provide dieting services to users.
provide social collaboration services.
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5. Proposed Solution
Create “Smart Cafeteria”
supported by
web 2.0 system
Smartphone application.
“Smart Cafeteria”
application should be
Interactive.
Adaptive.
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6. Outline
1 Problem Statement
Scenarios
Objective
Proposed Solution
2 Analysis
Stakeholders
Functional & Non Functional
Requirements
Data Gathering & More
Requirements
3 Design
Desktop Prototype
Mobile Prototype
4 Usability Evaluation
Evaluation Methodology
Evaluation Result
5 Conclusion
Supta R. Philip (University of Trento) Masters Dissertation July 16, 2013 5 / 20

7. Stakeholders
Stakeholders
System Users.
Students.
Professors.
Researchers.
Universitys Administration Officer.
Universitys Technical Staff.
System Administrator.
Cafeteria Staffs.
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8. Functional & Non Functional Requirements
Functional & Non Functional Requirements
Functional Requirements
42 Functional Requirements
Non Functional Requirements
Usability.
Internationalization.
Portability.
Adaptability.
Safety and security.
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9. Data Gathering & More Requirements
Data Gathering & More Requirements
Focus Group - 7 participants.
Questionnaires.
Outcomes
“Smart Cafeteria” is usefull application.
Found 5 more functional requirement.
Design UML (4 Use Case, Class Diagram, 4 Activity Diagram.)
Supta R. Philip (University of Trento) Masters Dissertation July 16, 2013 8 / 20

10. Outline
1 Problem Statement
Scenarios
Objective
Proposed Solution
2 Analysis
Stakeholders
Functional & Non Functional
Requirements
Data Gathering & More
Requirements
3 Design
Desktop Prototype
Mobile Prototype
4 Usability Evaluation
Evaluation Methodology
Evaluation Result
5 Conclusion
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11. Desktop Prototype[Index Page]
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12. Desktop Prototype[User Dashboard]
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13. Desktop Prototype[Suggested Food Menu]
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14. Mobile Prototype
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15. Outline
1 Problem Statement
Scenarios
Objective
Proposed Solution
2 Analysis
Stakeholders
Functional & Non Functional
Requirements
Data Gathering & More
Requirements
3 Design
Desktop Prototype
Mobile Prototype
4 Usability Evaluation
Evaluation Methodology
Evaluation Result
5 Conclusion
Supta R. Philip (University of Trento) Masters Dissertation July 16, 2013 14 / 20

16. Evaluation Methodology
Evaluation Methodology: User studies and questionnaire.
10 participants.
Given them 9 tasks to perform.
Given them 14 usability questions [likert scale: 1-7] to evaluate.
usefulness
easy to use
learnability
Satisfaction
Evaluation both for Desktop and Mobile Prototype.
Result calculate using Mean(µ) and Standard deviation(σ)
σ = 1
N
N
i (xi − µ2)
µ = 1
N
N
i xi .
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17. Evaluation Result for Desktop Prototye
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18. Evaluation Result for Mobile Prototye
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19. Outline
1 Problem Statement
Scenarios
Objective
Proposed Solution
2 Analysis
Stakeholders
Functional & Non Functional
Requirements
Data Gathering & More
Requirements
3 Design
Desktop Prototype
Mobile Prototype
4 Usability Evaluation
Evaluation Methodology
Evaluation Result
5 Conclusion
Supta R. Philip (University of Trento) Masters Dissertation July 16, 2013 18 / 20

20. Conclusion and Future Work
“Smart Cafeteria”
could solve the problems mostly [reduce queue time through
notification].
is adaptive [its functionalities].
is interactive [Usability Evaluation].
Future Work
Build high fidelity prototype [full functional].
Find out best machine learning approach for adaptability.
More User Study for better usability.
Resources
Github Repository
https://github.com/suptaphilip/Master-Thesis
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21. Questions
Any Questions
Thanks
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