After discussing our app’s features with some of the CS247 staff, we decided that testing different methods and timings for notifications was important in determining the potential success of our app. Because our app is a mobile-optimized web application, our notification methods are essentially limited to email notifications and SMS notifications. We decided to test both of these options to determine which yields higher user satisfaction and quicker response times. We also really want to simulate our testing in the most realistic way possible, in order to get the best feedback among different user groups. We decided to send out notifications as previously described to users at different times of the day, and vary our user groups (close friends, long-distance friends, mere acquaintances) in order to produce the most reasonable data.
1. Which method of notification do users prefer? Which method of notification produces quicker response time? Hypothesis: Users will prefer text-messaging over e-mails because it is faster and requires less overhead for the user.
2. Do users prefer to be notified when their competitors post a photo? Hypothesis: Users will prefer to be notified only after all competitors have completed the round because this ensures that all participants play their round.
3. Do users prefer to be notified at a random time or a time that they had mutually agreed to? Hypothesis: Users will prefer to be notified at a random time because it adds a level of uncertainty that’s exciting!
We created an initial prototype of our mobile web-app, Cliq. Further details are below.
After meeting with our mentor-coach this past Tuesday, we decided to take a slightly new direction with our CS247 project. Our new project idea is similar to "FamCam", our photo/video timeline sharing app, but we have made it more of a photo sharing "scavenger hunt" type application. Details can be found in presentation embedded below. We're really excited about it and hope you like it!
And here are some of the wonderful photos and videos our participants captured!
Prompt: Take a photo with somebody named Joe.
Prompt: Take a video of yourself dancing for five seconds.
...and the unexpected twerk:
Our skit can be found at the bottom of the following document: Idea Brainstorm Google Doc
Communicating with your parents on a weekly basis can be challenging. We want to make this process friendlier and easier. Here is the general flow of how this mobile app would work:
From our personal experiences, we see that many students have trouble finding time to communicate with their parents weekly, much less speaking with their parents on a every-day basis.
We are mainly concerned about college students who are going to school away from home. Especially at Stanford, many students are from out of state, and have trouble staying in touch with their parents.
Coordinating carpooling or picking up a friend can be annoying. It would be great to somehow send a quick message, piece of information, or media while driving that is safe and is an accurate description of the driver's location. Here is the idea flow:
We have all have had experiences when we needed to arrive somewhere on time and picking up a friend or group of friends up took much longer than necessary due to miscommunications that resulted in wait time.
When you’re picking a friend up on a date, to go to the movies, or to go the gym - you name it. If both friends are using our app, this should eliminate the potential wait time for both parties.
Most people enjoy meeting new people from different backgrounds, but there can exist a language barrier that requires an extra step in communication, whether it be via a translator, Google translate, or a dictionary. We propose to build a chatroulette-like platform that connects people across cultures by having what you say immediately translated into subtitles on the other person’s screen. They will then respond in their own language, and you will get the subtitles in your own language.
This could happen when you want to speak with another person that is not fluent in your language, or if you just want to meet new people that are foreigners.
Optimizing the music recommendation and sharing experience is something a variety of applications/social networks are continually working on. SoundCloud, Spotify, YouTube, and last.fm all have social network-type features such as listening-activity sharing, music listening timelines, and music listening data aggregation, but it seems as if no one application has perfected the music recommendation experience. Sharing music with friends who have similar tastes seems to be the most efficient way we share music now but music listeners often don’t have time to listen to an entire song, so we decided that we’d digitalize and optimize this process. Here’s how the app would operate: