Showcased at ICAM Senior Exhibit with 150+ guest participation
Purpose: This is my ICAM senior project. It was showcased on June 11-13, 2019 at "Silience", the ICAM Senior Exhibition.
Categories: Computer Vision, Facial Recognition, Interactive Design
Outcome: Create a web application in two quarters, which portrays data privacy in an ironic way.
"Smart Select" is an online music listening platform that recommends songs to users based on their current moods. Users can either manually indicate their emotions or initiate the live detector on the right. "Smart Select" will then redirect users to recommended YouTube music playlists.
Yet, the recommendation results from the above two approaches are various. If users manually choose their emotions by clicking emotion buttons, YouTube will generate a music playlist based on mood keyword searching, for example, happy, sad, neutral, etc. If users prefer to input their emotions using the facial recognition method, they will receive lists of animated memes deliberately chosen by me. Even worse, "Smart Select" will secretly spy on users' emotions and steal users' data by taking screenshots.
What makes my app unique is its ability to detect users' real-time emotions -- in a funny way. Nowadays, the majority of apps provide recommendations based on usage history. Although using past data to guess users' needs seems somewhat plausible, this method often fails to precisely predict the future. Gathering the real-time data and returning with an immediate output will allow apps to provide a more personalized recommendation to users.
In such a fast-moving world with the increasing influence of data, I firmly believe that technology involving real-time data will soon be commonplace in people's daily lives. However, I doubt this way of gathering data can guarantee internet privacy and safety.
"Smart Select" indicates my mixed feeling about massive real-time data usage.