Ph.D., Information Systems, UMBC
Ph.D., Information Systems, UMBC
Human-Computer Interaction, Universal Accessibility, Health-informatics, Usable and Accessible Security
Dr. Jinjuan Heidi Feng is a professor in the Computer and Information Sciences Department and the director of the School of Emerging Technologies at Towson University. She received a Ph. D. in Information Sciences from UMBC in 2005. She conducts research in the area of Human-Computer Interaction, universal accessibility, Health-informatics, and usable and accessible Security. She works closely with national and local communities to improve the quality of life for people with disabilities through information technology. Her current research projects focus on assistive technologies for people with cognitive disabilities in educational and professional settings, mobile applications for health related activities, and accessible security techniques for individuals with visual or cognitive disabilities. Her research has been funded by various national and state agencies such as the National Science Foundation (NSF), the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR), and TEDCO. Her work has been published in various top-notch journals and conferences such as Human-Computer Interaction, ACM Transactions on Computer-Human Interaction, and ACM Transactions on Accessible Computing. She is serving on the editorial board of ACM Transactions on Accessible Computing and is the general conference chair for the 18th ACM SIGACCESS International Conference on Computers and Accessibility (ASSETS 2016).
Hu, R. and Feng, J. (2015) Investigating information search by people with cognitive disabilities. ACM Transactions on Accessible Computing. Vol. 7(1) June 2015, 1-30.
Olalere, A., Feng, J., Lazar, J., and Brooks, T. (2014) Investigating the effects of sound masking on the use of audio CAPTCHAs. Behaviour and Information Technology. Vol. 33(9) March 2014, 919-928.
Ma, Y., Feng, J., Kumin, L., and Lazar, J. (2013) Investigating user behavior for authentication methods: A comparison between individuals with Down syndrome and neurotypical users. ACM Transactions on Accessible Computing. Vol. 4(4) July 2013, 1-27.
Hu, R., Feng, J., Lazar, J., and Kumin, L. (2013) Investigating Input Technologies for Children and Young Adults with Down Syndrome. Universal Access in the Information Society. Vol. 12(1) March 2013, 89-104.
Kumin, L., Lazar, J., Feng, J., Wentz, B., and Ekedebe, N. (2012) Usability Evaluation of Workplace-Related Tasks on a Multi-Touch Tablet Computer by Adults with Down Syndrome. Journal of Usability Studies 7(4) August 2012, 118-142.
Guo J., Smith, T., Messing, D., Tang, Z., Lawson, S., and Feng, J. (2015) ARMStrokes: A mobile app for everyday stroke rehabilitation. Accepted by the 17th ACM International Conference on Accessible Computing.
Sreeramareddy, L., Mulbah. P., and Feng, J. (2015) Investigating gesture-based passwords by the seniors. Proceedings of the 17th International Conference on Human-Computer Interaction. August 2015.
Sreeramareddy, L., Janprasert, A., and Feng, J. (2014) Evaluating gesture-based password and the impact of input devices. Proceedings of the 2014 International Conference on Security and Management. July 2014.
Feng, J., Acharya, S., Greenhaw, R., Tang, Z., Guo, J., Miao, S., and Holmes, C. (2014) Portable context aware assistive solution to aid independent living for people with Autism. Rehabilitation Engineering and Assistive Technology Society of North America 2014. June 2014.
Zhu, S., Kane, S., Feng, J., and Sears, A. (2012) A Crowdsourcing Quality Control Model for Tasks distributed in Parallel. Proceeding of CHI 2012 Extended Abstracts, 2501-2506.