Scope

This project is a case study to understand the challenges of blind

and low-vision people during social interactions with other people.

The challenges are used to develop a prototype that can successfully

detect emotions using a mixture of body language, facial gestures and

tonality.

This project is a case study to understand the challenges of blind

and low-vision people during social interactions with other people.

The challenges are used to develop a prototype that can successfully

detect emotions using a mixture of body language, facial gestures and

tonality.

Background

There are 5 major contributors to procrastination, as depicted below. As 80% of college going student

procrastinate, I thought a humorous solution for motivation would prove to be more effective

than something that follows beaten track.  Previous research around this area has established the fact

that insults serve as better motivators compared to praises. Being insulted by the opponent

instigated a sense of rivalry forcing the competitor to push himself and outperform the rival,

thereby developing healthy competition with himself. This formed the baseline for my study.

Lo-fi Prototype

Based on the background research and limitations identified, I performed a brainstorming activity and sketched basic prototype designs that served as inspiration for application development and as the baseline for product iterations.

The application requires the user to upload their schedule and set a timer for the task. In addition, the application also asks for total permitted break time.

On interfacing with the web, the application throws warnings and reminders mixed with insults in 3 stages as break time increases. On the final level, any tab other than academic work will be frozen

Get in Touch!

Get in Touch!