Caitlyn Seim

          PhD Student
                  School of Interactive Computing
                          Georgia Institute of Technology






Research and Development Work:

Election Monitoring for Developing Countries:
My first research in the area of Human Centered Computing was on the eDemocracy project in collaboration with the Carter Center in Spring 2012. This project aimed to monitor elections in Africa to ensure a non-corrupt democratic process. I worked to mine and analyze local social network data from around the time of the election and develop the secure app used by on-location monitoring volunteers. I collaborated with the volunteers to provide the data and changes that they needed, and worked alongside other students doing related work. During my involvement, the team was able to monitor elections in Egypt and Liberia and alerted local authorities at reports of intimidation and ballot-stuffing.

Keywords: Social Network Data Mining, Secure App Development, UI, Computing for Developing Regions

Computer Vision for Autism Diagnostics:
In Summer 2012, I was involved with another research project in my field. Working in the Aware Home Research Laboratory, I successfully implemented a multi-depth camera skeleton tracking system for use in behavior analysis experiments on children with Autism. This project collaborated with Child Psychologists at the University of Miami and had the ultimate goal of automating the Strange Situation experiment using computer vision techniques- thus providing better access and novel quantifiable data to ASD diagnoses. This analysis of social behavior using computer vision is both important and of great interest to me. I not only learned about action recognition, ASD research, computer vision and associated resources and techniques, but also about what is known and what is novel in CS and the importance of these things to a doctoral student.

Keywords: Computer Vision, Autism, Action Recognition, Computational Behavioral Science

Online Education System for Helping Students Learn DSP:
In Fall 2012, I worked with a team of students on an online learning and collaboration system for the school's Digital Signal Processing class. Together we analyzed the student usage database, correspondingly assigned difficulty values to questions, and made improvements to the user interface. Independently, I created an informed question selection algorithm that presented questions to the student based upon their answer history to make the tutoring system a more effective teaching tool. I learned about usage databases and online learning tools through this experience, and also gained more experience collaborating with academics.

Keywords: Data Analytics, Online Learning, UI, Databases, PHP, HTML

In-Home Behavior Recording System for Autism Management:
Also during Fall 2012, I did research with a graduate student on smartCapture, a mobile system for video capture of behavior specimens in the home. This research aims to develop a system that enables families of children with Autism and other disorders to capture suspect behaviors when they manifest, so their clinician can to use these clips in prescribing treatment. I got involved with this research because mobile and ubiquitous computing are some of my desired specializations, and because high-impact health applications of this technology are of greatest interest to me. I developed a script for improving mobile video quality and helped setup and design the user study of the current prototype. This research was in collaboration with NIH, NSF, and the SBIR Grant-funded Behavior Imaging Solutions Inc.

Keywords: Mobile and Ubiquitous Computing, Autism, UX, Behavior Capture

Accessible Gaming System for Patients with Tetraplegia:
In Spring 2013 the freedom to choose the topic of my senior design project lead me to combining my interest areas of Neuroscience and Wearable Computing. With the prompt of designing access to video games for C4 tetraplegics provided by a Children's Healthcare of Atlanta Pediatric Rehabilitation Specialist, I adopted the project and created an accessible, wearable controller for patients paralyzed from the neck downwards. As the Electrical Engineer of the team, I designed, built, tested and programmed this system, while working with Biomedical Engineering students to learn about the medical standards of compliance and considerations for hospital use. There was previously no such controller available to patients and the final prototype was fully functioning - providing access to all actions of a standard controller -- using only signals from the mouth and tilts of the head. This opens up a previously inaccessible activity to these patients, a meaningful contribution to their world. This experience embodies my interests and informs my graduate research project of using wearable computers to facilitate passive rehabilitation. Simple video HERE.

Keywords: Wearable Computing, Neuroscience, Accessibility, Hardware, Embedded Systems, Human Factors


Contact Information:

cseim6 @