CS 565: Human-Computer Interaction 'Patient' Project Information: Spring 2019

The following projects have been proposed:

Enabling Logic Inspection for eXplainable AI (XAI) Systems (Andrew Anderson)

Description: As AI becomes more pervasive in society, the chances of people with no AI background having to evaluate their actions increases, even though they are experts in the domain (such as Real-Time Strategy (RTS) Games. How would the user, "Jake", go about understanding these systems? Your task this term would be to take our preliminary sketches and develop methods to empower a user with no AI background to understand the system. Contact person: Andrew Anderson

Team: Kun/Yujie/Xingnuo/Muqi


GenderMag Recorder's Assistant (Brijesh Bhuva)

The GenderMag Recorder's Assistant "takes notes" for people doing a GenderMag evaluation of a software project. It runs in Chrome. The UI would benefit from some attention. This is an Open Source project, and if your UI turns out well, you could eventually (after the class) implement some of your recommended changes for the world to see and use. Contact person: Brijesh Bhuva

Team: Alexandria/Eman/Kajal


UI for the "Network Manager" of the TAHMO project (Tadesse Zemicheal)

Description: As part of the TAHMO project (to build and operate a weather network in Africa), we are designing (and partially implemented) a web-based UI for the "Network Manager". It is currently at the design stage, with a partial implementation. https://tahmo.org/ Contact person: Tadesse Zemicheal

Team: TBA (first come, first served)


October Networking Night (Sam Lichlyter)

Description: The system is used to inform students and industry of the event as well as allowing both to register and for students to upload their resume. The patient is the website which includes all links under "Links for Industry," "Links for Students," and "Contact Us." Contact person: Sam Lichlyter.

Team: Xintong Wang et al.


WRESTORE (Efrain Noa)

Description: WRESTORE is a web-based, interactive, transparent, and participatory decision support system for helping land owners, government agencies, policy makers, planners, and stakeholders design a distributed system of strategies through best management practices (BMP) in their watersheds to face water issues such as flooding and water quality. It aims at being user-friendly.

WRESTORE allows users to test multiple strategies (alternatives) for locating and designing conservation practices in a simulated environment of their watershed landscape. Based on the overall performance of the practices in the simulated environment, users can then identify alternatives most suitable to their needs. Contact person: Efrain Noa

Team: Efrain Noa et al.


InterACTWEL (Majid Farahani)

Description:

Interactive Adaptation and Collaboration Tool for managing Water, Energy and Land. Contact person: Majid Farahani

Team: Majid Farahani, Yufei Bai, Deval Prashant Kaku, Yuan Zhao


HazAdapt-Public (Virginia Katz) and HazAdapt-Manager (Virginia Katz)

Personal Resilience Assistant App and Software. There are 2 patient projects here. HazAdapt-Public is the Public User interface. HazAdapt-Manager is the Emergency Manager interface. Contact person: Virginia Katz

Team for HazAdapt-Public: Omeed/Arash/Mariam/Yipeng

Team for HazAdapt-Manager: Virginia/Pallavi/Tanmay/Uday


Campus Hero (Christopher Kawell)

Campus Hero is an Android application that helps the user navigate university campuses across the United States. Its central feature is to guide the user from their current location to anywhere on campus via walking, car, or bus. The application also includes an account feature which allows the user to create a class or general appointment schedule for on-campus navigation. The current application is a prototype and thus does not yet fully deliver on all of the above features. Contact person: Christopher Kawell

Team: Christopher Kawell et al.


AME: Auto Modulation Equalizer: (Yi Xuan Chia)

AME is an Android application that aims to help people with hearing disability or hearing injuries to listen better with their existing earbuds/headphones, still anyone else can use it just to make headphones sound better. The main features of the app is to run a series of hearing test with frequencies ranging from 20Hz to 20kHz, and then use that results to modulate the equalizer rather than having the users to set the equalizer manually. The app is fully developed with these features, but the UI is just there only to test them. Contact person: Yi Xuan Chia

Team: Yi Xuan Chia et al.



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Date of last update: April 13, 2019