This was the second week of our project.
[Production]
At the beginning of this week, we created a RACI chart to separate our fundamental tasks into categories and assign responsibilities. Mainly as technical development and user experience design modules.
On the one side, we participated in the ETC playtest workshop, brainstormed user experience goals and compared possible features.
On the other side, we started learning and creating small prototypes in Unity on some public speaking assessment features such as eye gazing.
We discussed with our clients in terms of rubric to assess public speaking performance, and benchmarked more peer products with VR devices. We decided to have our deliverables as a playable prototype and a website for user data visualization.
At the end of the week, fortunately we met with a machine learning expert LP Morency at CMU CS school, in which we gained some potential methods of applying technology to our user experience design.
[Tech]
Since the experience should also be used as a research tool, we designed our code structure into two big parts: a research tool and a VR experience. In terms of evaluation, we selected three components where the data set is able to be gathered and quantified: hand gesture with leap motion, head motion tracking with Oculus, and voice recognition with Google speech-text API.
For this week, we developed a rough prototype that gathers and stores head motion tracking data. We are also looking into voice recognition APIs and trying out Leap motion in order to understand the technology.