Thesis presentation

1. mCrowd: A framework for incentive based mobile crowdsourcing Arpit Jain Thesis supervisor: Dr. T.V Prabhakar Department of Computer Science & Engineering IIT Kanpur July 13, 2015

2. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Outline 1 Thesis in a slide 2 Introduction 3 Background & Related work 4 Problem statement 5 mCrowd in incentive based marketplace setting 6 mCrowd in Classroom setting 7 Conclusions Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

4. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Thesis in a slide Reasoning Current incentive based crowdsourcing platforms are not customized for smartphone users Most “tasks” on such platforms are lengthy, uninteresting, require longer attention span and don’t employ smartphone sensors These platforms are generally driven by financial incentives alone Fail to utilize the power of online newcomers using smartphones mCrowd Crowdsourcing framework keeping smartphone users in mind Focused on creating entertainment driven environments Implementation Creating gamified incentive based mobile crowdsourcing marketplace Conducting MCQ based quizzes in flipped classroom setting Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

6. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Introduction What is crowdsourcing Approach to solve problems by posing them to an open crowd Reward is oﬀered for solutions meeting some quality threshold Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

7. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Crowdsourcing in industry Company initiative Goal Amazon Mechanical turk general-purpose Burda Media BurdaStyle fashion design (sewing) CNN iReport news reporting Eli Lilly InnoCentive scientific R & D Facebook Translations language translation Google Image labeler image labeling Netflix Netflix prize data mining Clickworker Virtual workforce general-purpose Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

8. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Crowdsourcing across various disciplines Company Area Maven Consulting 99designs Design KickStarter Funding Trada SEO/SEM TopCoder Engineering iStockPhoto Photos Voice123 Voice-overs Zero Flaws Image manipulation Gengo Translation Casting Words Transcription Innocentive Research & Development Samasource Corporate social responsibility ReTel Surveillance analytics Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

9. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Crowdsourcing and Ubiquitous computing Framework Area Ushahidi Non-proﬁt software company that develops free and open- source software for information collection, visualisation, and interactive mapping: crowdsourcing for social activism and public accountability OpenDataKit Free and open-source set of tools which help organizations author, ﬁeld, and manage mobile data collection solutions Eclipse Scout Context-aware development framework for mobile applications, runs on a mobile android device, and provides applications with automatic sensing of context and envi- ronment information Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

11. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Incentive based crowdsourcing Giving incentives to users generates traction and attracts users Has many issues (spam detection, fraudulent data, multiple proﬁles) Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

12. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Games with a purpose Users tend to give honest responses when a gamiﬁed version of the task is presented to them (Reference: https://goo.gl/L7BxBU) User visits & retention are entertainment-driven (not incentive) Method proven to be hugely successful in the past Examples ESP game Phetch Peekaboom Verbosity Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

13. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Pervasive computing More users are coming online, most of them using smartphones These smartphones have inbuilt sensors capable of capturing rich data in real-time Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

15. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Problem statement Issues with existing solutions No existing platform to cater tasks suitable for mobile phones Most platforms require longer attention user spans, and are boring Generally driven by financial incentives alone Our solution - mCrowd Framework to support shorter tasks, suited for mobile phones Works for different type of response collection and input formats Implementation mCrowd to create incentive based mobile crowdsourcing marketplace mCrowd to conduct MCQ based quizzes in flipped classroom setting Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

18. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions mCrowd - Concept map Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

20. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions mCrowd to create incentive based marketplace Architecture Server side - Javascript, PHP, Python to handle business logic Client side - Used phonegap framework to create mobile app Database - MongoDB (NoSQL based) Features Types of users - Requesters & Workers Types of tasks - General purpose & location specific Response categories - Data rating, validation & generation Data type involved - Text, images & files E-Mail and SMS alerts User notifications, profile, facebook sign-in, levels, badges & wallet Ability to add questions/manage responses singularly as well in bulk with/without custom time limits Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

21. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions mCrowd to create incentive based marketplace Architecture Server side - Javascript, PHP, Python to handle business logic Client side - Used phonegap framework to create mobile app Database - MongoDB (NoSQL based) Features Types of users - Requesters & Workers Types of tasks - General purpose & location specific Response categories - Data rating, validation & generation Data type involved - Text, images & files E-Mail and SMS alerts User notifications, profile, facebook sign-in, levels, badges & wallet Ability to add questions/manage responses singularly as well in bulk with/without custom time limits Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

22. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Example tasks (Inexhaustive list) Question Task type Do you like this image? Data validation Is this image profane? Data validation Rate this image out of 5 stars Data rating Which of these 2 designs is better? Data validation Which of these 2 designs is better and why? Data entry Is the sentiment in this tweet, positive or negative? Data validation Rate the sentiment in this tweet Data rating Is this comment suitable for an e-commerce website? Data validation Can you write a better deﬁnition for crowdsourcing Data entry Help rate Campus Restaurant Data rating Upload a photo of a red object around you Data generation Are these two images that of Campus restaurant? Data validation Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

23. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions App-Server interaction Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

24. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Task-Data type interactions Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

25. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Logical view Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

26. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Process view Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

27. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Deployment view Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

28. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Scenarios Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

29. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Snapshots - Worker signup/login Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

30. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Snapshots - Worker sample tasks Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

31. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Snapshots - Worker proﬁle Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

32. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Snapshots - Requester Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

33. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Snapshots - Requester individual task upload Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

35. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions mCrowd in ﬂipped classroom setting Working Using mCrowd to conduct online MCQ based quizzes These quizzes can act as precursors to lecture (revision medium, homework) with optional weightage Features Quiz is available only for preset duration of time Students can continue quiz where they left The student needs to necessarily give the quiz in the classroom (IP-checks) Teacher gets graded response sheet at the end of the quiz Future work Can be extended to other types of questions as well Gamiﬁcation by “karma” points in forums for user participation Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

38. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Snapshots - Student Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

39. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Snapshots - Teacher Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

41. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Conclusions Conceptualization of mCrowd Created a framework (mCrowd) for incentive based mobile crowdsourcing Implemented two applications based on mCrowd Working with phonegap - keep most of the data on client side itself, eﬃcient usage of LocalStorage variables to maintain sessions Tips for avoiding spam Be speciﬁc Don’t be too cheap Have a way of verifying the results Weigh your options Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

42. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Future Work Using social media connect, rewarding active players, using lives in a game can lead to better user experience. Enabling HTML5 canvas for mobile users can lead to a new form of data collection - data collection by user drawings Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

43. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Questions Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

44. Thesis in a slide Introduction Background Problem statement Marketplace setting Classroom setting Conclusions Thank you! Arpit Jain (10327145) mCrowd: A framework for incentive based mobile crowdsourcing

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