Project Gallery: Voluntary Crowdsourcing / Social Computing Applications
Students worked on a semester-long design project, in which they designed and built a crowdsourcing / social computing application that involves a VOLUNTARY OR INTRINSICALLY MOTIVATED CROWD. This poses interesting and unique design challenges in terms of task design, incentive design, and quality control.
Twelve student teams came up with creative designs, and this page gives a snippet of their design process.
Members: Donghoon Han, Tae Soo Kim, Seokhwan Kim, Jae Hwan Jeong
Communication between the streamer and viewers in game livestreaming is limited due to the possibly large number of messages and the need of the streamer to focus on the game. We present Crowdstudio, a streamer-viewer communication system which delivers messages to the streamer that represent the consensus of opinions between viewers while preserving the context-relevance. We employ an integrated voting system that best reflects the general concensus of the viewers, without burdening the viewers to scheme through all messages from the stream. To the best of our knowledge, distinguising message options (between regular chats and special ones that are directed to the streamer), as well as dynamically creating a subset of users to have an option to vote on a message or two has never been done before.
Members: Changyeon Kim, Sangho Lim, Jiho Jin, Jisu Choi
Making appointment is bothersome, and many people do not keep appointment well, and tend to forget the details of appointment. We introduce 1) schedule manager to make appointment easier, 2) reward system to make people more punctual, and 3) statistics to recall the details. We provide useful UIs such as draggable time slots, voting functions, tidy social life indicators, and unprecedented ranking system based on punctuality.
Students lose their motivation, intention or concentration in doing work, causing procrastination and bad efficiency of work. Provide a social pressure from a group of people in order to make students more motivated to do work by creating a platform letting students create their own group or join others’ group and share their work together in a certain time. Our platform requires group members to submit their own work in every specified interval, utilizing deadlines and cheer system to boost work efficiency.
Members: Katharina Sophia RIESTERER, QUENTIN JEAN BAPTISTE NIELOUD, I-Hao Lu
Because of the lack of centralized information at KAIST, it is hard to know what is happening on the campus every day. Thanks to our collaborative map, we offer a central platform for people to share and find interesting events on the campus. More convenient and intuitive than existing solutions, you are able to see what is happening around you in real time.
Members: David LE, Duy Anh Charlie Nguyen, Mikkel Odgaard, Yin YiRan
There is no easy way to identify fashion items spotted in our everyday life. We propose FashionFindr, an interactive application that aims to help users to find their fashion items quickly and correctly and discover trending fashion items sought after by other users. FashionFindr uses easy swiping gestures for users to skip, favorite or comment on questions asked by users.
Many CS students want to get information on personal coursework, but asking, getting, and sharing diverse experiences (or opinion) is not easy. So We propose DragCS, which provides an opportunity for asking, recommending coursework, and sharing experiences and opinions for the specific personal needs. This is unique in that it leverages crowds’ knowledge to offer a better-customized (for the specific person), seamless (each one makes recommendations for all semesters), longer-term solution, as well as it supports people to express their opinion with simple drag-drop.
Members: Mirali Ahmadli, Arnur Makenov, Mehdi Aghakishiyev, Alish Mehralizade
There are currently lots of different places selling same products for different prices and quality. How can we help people to search for product quality and price easily and efficiently? Product price-quality platform will facilitate collaborative crowdsourcing environment and let users weigh trade-offs and finally buy the desired product. Unlike many individual stores having review and rating for their own products, Stonks is a unified platform which lets people assess product’s price and quality across various stores.
People have trouble finding personalized fashion advice due to differences in personal taste, not knowing who to ask and shyness. Our solution is to create a fashion advice platform for people to get personalized fashion advice. The application is different compared to other similar solutions for its adoption of the rating system from dating apps to a fashion advice community.
Not having enough information about snacks makes people feel indecisive and stressed when choosing satisfactory products. Our application, **"SNACK-King"**, provides organized information about snack and shares recommendations between users. Users can refer to keyword-based reviews with ratings and distribution graphs, request snack recommendation using keywords and comments, and respond to others' recommendation requests.
Check out the LIVE INTERFACEYou should download and install the apk file on your mobile phone.
Members: Jaewon Kim, Chae Won Kim, Woo Jae Kim, Yeongwoo Song
The steps taken from finding meal buddies in chat rooms to actually meeting them are too inefficient and burdensome. Our solution is to provide a platform where users can express their meal plans and make meal arrangements with their friends efficiently. Different from other social interaction platforms, our platform is dedicated only to making meal arrangements and communicating only on that topic specifically.
Members: Shinah Yi, Suyeon Kim, Suniel Nah, Seungchyul Shin
We are addressing the problem that students don’t have enough information to choose the internship that’s right for them. Our solution is to provide a platform for students to share their experiences and reviews of different internships with each other. Our approach aims to aid the inexperienced students by providing frames of reference through a timeline and key metrics when viewing and sharing their reviews.
Members: Hyun Jin Kim, Yoo Hwa Park, Dayoung Lim, Jaewon Jung
Taste of coffee varies a lot from place to place, making it difficult for people to find coffee of their preference. CoffeeFairy offers a comparison and review system based on chatting to deal with such problem. In addition to the existing review system, users are asked to chat with other people who are drinking same coffee menu from different cafe and are asked to complete a given sorting task, and these data are collected to produce crowdsourced comparison among different coffee.
When solving programming problems, planning out a solution prior to coding is important, but there is a lack of guidelines and instructor resources to support this activity. Learnersource subgoals of the code as plans and show them to learners. We make the learners improve their subgoals by comparing them with other subgoal examples, which gradually improves the quality of the example database.
Members: Mustafa Berk Yaldiz, Mahmoud Asem, Muhammad Waleed Anwar, Timothy Manoj Mathews
People struggle to memorise words for exams. Our solution is a website where users write a story with other people that incorporates the words they want to learn. Current memorisation websites like memrise/duolingo do not use storytelling or collaboration or collaborative storytelling.
Members: Dorjnyam Tumur-Ochir, Sangwoo Kim, Jiwoong Na, Jinyoung Sung
Separate note-taking by one student is not efficient enough to review all lecture, because students can miss some classes or misunderstand some lessons. Our solution is providing note sharing platform, “CoNote”, where students can upload their notes, refer to other notes, and exchange feedback about note. Students only who upload their notes or give feedback to other notes can refer to other students notes, and users can see list of notes in order of ratings scored by users.
Students pitched their idea and plans for a semester-long design project, in which they designed and built a crowdsourcing / social computing application that involves a voluntary or instrinsically motivated crowd.
Check out the videos of fifteen student teams' pitch presentations.
Team CoNote, Sparkling Fondue, SoCo, 흑당마라갈비, Gameet, YMCD, Stonks, and CoffeeFairy
Team Random, Happy Class, Maybe, CrowdStudio, JHK, Anonymous Associates, and COOK-King