I completed my Ph.D. at the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University under the advisement of Dr. Jennifer Mankoff. I received a Bachelors of Science degree in Computer Engineering from North Carolina State University and started my career as a software engineer with Intel Corporation. I developed desktop and network products for Original Equipment Manufacturers. While at Intel, I received a Masters of Science in Computer Science from the Oregon Graduate Institute at the Oregon Health and Science University before leaving to pursue my Ph.D. I was a recipient of the IBM Ph.D. Fellowship (2011, 2012), the Fran Allen IBM Ph.D. Fellowship Award (2011), and served on the program committee for FLAIRS in 2011. I hold three patents with IBM Research.
Areas of interest
My research interests are in the areas of human-computer interaction, ubiquitous computing, and social computing. I am primarily interested in identifying needs and opportunities to further explore how theories from the social sciences can be used to design technologies that have a positive impact on individual behavior. I see an urgent need to explore the use of these technologies in understudied communities. Results from my past studies in the environmental sustainability domain suggest that improved communication provides individual community members with access to new information and helps to resolve common problems. I plan to continue to apply my past research techniques to clarify and potentially meet the needs of understudied communities in environmental sustainability and in other domains such as education and health. For more information about my research please see http://www.tawannadillahunt.com and for more information about my research group, please go to http://www.socialinnovations.us.
- Exploring downward mobility among middle-income African Americans
- Identifying barriers and opportunities for building socio-technical capital
- Understanding energy use and power relationships in low-income communities
- Understanding MOOCs as a pathway to employment for low-income populations
- EAGER: Identifying Technical and Non-technical Feature Requirements to Generate Income-Earning Opportunities for Inexperienced Entrepreneurs
- Improving Employability via Physical Crowdsourced Tasks
- Inclusive Design and Operations for Integrated-Vehicle-and-Service-Sharing Systems
- Improving digital unemployment recruitment tools for the underserved