What is Meta buddy?
Project Overview
Metabuddy is an application designed to help users learn conversational English effectively and enjoyably. The key to realizing this goal is the integration of artificial intelligence within our program.
New York
01:39 PM
kyounghoonkim00@gmail.com
Metabuddy is an application designed to help users learn conversational English effectively and enjoyably. The key to realizing this goal is the integration of artificial intelligence within our program.
World widely, most people have been learning English since they are young. Same as others, we learned English when we were little kids. However, we found an issue that even the English is a popular language, the learning cost is prohibitive, and hard to learn how to speak. Especially in South Korea, we interviewed various ages and found that they gave up learning English because of the expense and limited time.
Moreover, the other educational language application asked us to pay a high unnegotiable price monthly to learn basic features. These problems inspired us to create an Artificial Intelligence system to suggest users learn English effectively, pay an understandable fee, and solve the space constraint.
To determine if others were having similar experiences, we conducted user interviews with diverse groups. This helped us better understand and confirm our findings about the common problems with English education.
Based on the interviews and researches, our team found solution to limited fundamental problems: understandable price, categorization, opportunity to speak, and creating a fun elements into each educational features.
Metabuddy aims how to make customers learn English conversational effectively and enjoy while learning. AI program is the critical feature to realize our ambition and succeed in our goal.
After we did user testing, we got the feedback for the Recommended answer button. In the first test, it was hard for them to realize whether it was clickable or not. So, to fix this problem, we decided to make speech bubbles and little pieces of information during the blank state. Then, we did the second test, and all the users understood the function and realized the button was clickable.