Tina Rungsawang, Zeyao Li
Description
What would it be like if we had the chance to have intimate experiences with different kinds of people, different kinds of voices? How would it be different to get intimate with a low-pitched voice entity, vs a high-pitched one?
cyber$exb0t is an experience that allows users to playfully explore intimacy with different voices from the computer. They will have the option of choosing a voice to interact with, and go on a series of on-screen interactions to satisfy the computer through a cybersex chat. We are hoping that through this experience, people will be more open to having intimate interactions with different voices.
The mood of this experience is sexy, nostalgic, and fun! The aesthetics are heavily inspired by early 2000's cybersex chatrooms on AIM.
Ashwita Palekar
Description
Mindful Matters was a project that I came up with in my moment of distress and anxiousness due to the pandemic scare shortly after the Thanksgiving break as a close contact of mine who I lived with was tested positive. At the moment, I went through many phases of emotions, and with many deadlines approaching for work, I was in a state of shock, the shock of my emotions that rendered me completely unproductive. I took the opportunity of this time and explore how I would go about navigating these emotions and hence came Mindful Matter.
Zack Lee
Description
Text2Video is a software tool that converts text to video for a more engaging learning experience.
I started this project because during this semester, I have been given many reading assignments and I felt frustration in reading long text. For me, it was very time and energy consuming to learn something through reading. So I imagined, “What if there was a tool that turns text into something more engaging such as a video, wouldn't it improve my learning experience?”
I did some research and found a number of articles and studies supporting that videos can be more effective in learning than text for many people including the following data:
– The human brain can process visuals 60,000 times faster than text.
– Viewers retain 95% of a video’s message compared to 10% when reading text.
– 65% of people consider themselves to be visual learners.
I created a prototype web application that takes text as an input and generates a video as an output.
I plan to further work on the project targeting young college students who are aged between 18 to 23 because they tend to prefer learning through videos over books based on the survey I found.
The technologies I used for the project are HTML, CSS, Javascript, Node.js, CCapture.js, ffmpegserver.js, Amazon Polly, Python, Flask, gevent, spaCy, and Pixabay API.
Application link: https://text-to-video.herokuapp.com/
Demo Video: https://vimeo.com/489223504
Github repository: https://github.com/cuinjune/text2video