<aside> 📌 Utilizing p5.js Speech and Figma, ScottyReports is a conversational mobile user interface that assists students in reporting issues on campus.

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Project Team: Elysha Tsai, Jina Lee, Adam Grant, Mohammed Rahman

Advisor: Kyuha Shim, 51-367 Computational Design Thinking

Check out our mobile prototype live here.


Project Space

Despite priding itself on academics and intellectual innovation, Carnegie Mellon does not boast a reliable and attentive attitude that students can count on.

Because methods of reporting issues on campus are unintuitive and inaccessible, this creates a campus culture lacking in transparency and trust, subsequently encouraging inaction around issues that should not be ignored.

This raises the opportunity for a group of students to address:

How might we promote a safer, more trustworthy, and transparent campus environment by building a mobile interface that prioritizes usability, clarity in communication, and empathy towards the everyday student?

ScottyReports, your conversational campus companion

ScottyReports is a mobile user interface that guides CMU students through the entire process of identifying, communicating, reporting, and following up on a problem. Scotty, a voice user interface, specifically targets the multifaceted process of reporting to reduce friction in the process of reporting the problem.

The mobile interface takes care of the rest— allowing students to trust that their problem was not only reported from their end, but acknowledged and addressed by the university’s end. This assurance and attention to the whole process encourages students to report time and time again. Throughout the process, we came to realize that we can build something meaningful from this feedback loop of trust.

Prototype of mobile user interface

Prototype of mobile user interface

Demonstration of interactive conversational user interface

Demonstration of interactive conversational user interface

Onboarding Scotty VUI

Onboarding Scotty VUI

Ultimately, ScottyReports aims to (short term → long term):