Human-Computer Interaction
Developing advanced user-focused interfaces and design methods that are shaping the future of technology.
Research Projects
RERC on Universal Access to ICT
Principal Investigator(s): J. Bern Jordan Hernisa Kacorri Amanda Lazar
Funder: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other
Research Areas: Accessibility and Inclusive Design > Data Privacy and Sociotechnical Cybersecurity > Human-Computer Interaction
Exploring and developing strategies to individualize generative artificial intelligence (AI) systems to make them provide better results tailored to each individual with a disability (starting with AI systems for visual question answering for blind people); identifying and more deeply understanding the failures in technology use by people who are older and developing design strategies to allow more seniors to understand products out of the box -- especially those technologies that are critical to independent living and engagement.
Principal Investigator(s): J. Bern Jordan Hernisa Kacorri Amanda Lazar
Funder: HHS / ACL / National Institute on Disability, Independent Living, and Rehabilitation Research Other
Research Areas: Accessibility and Inclusive Design > Data Privacy and Sociotechnical Cybersecurity > Human-Computer Interaction
Exploring and developing strategies to individualize generative artificial intelligence (AI) systems to make them provide better results tailored to each individual with a disability (starting with AI systems for visual question answering for blind people); identifying and more deeply understanding the failures in technology use by people who are older and developing design strategies to allow more seniors to understand products out of the box -- especially those technologies that are critical to independent living and engagement.
My Creative AI Co-Worker
Principal Investigator(s):
Research Areas: Accessibility and Inclusive Design > Future of Work > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
Principal Investigator(s):
Research Areas: Accessibility and Inclusive Design > Future of Work > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
CHS: Small: Teachable Object Recognizers for the Blind
Principal Investigator(s): Hernisa Kacorri
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
The research aims to develop a teachable object recognizer (TOR) app for blind users, enabling them to train machine learning models with personalized data through their smartphone cameras. This "teachability" approach addresses data scarcity in assistive technology. The study will explore effective user training, measure system efficacy, and evaluate accessible interactions through various research methods, aiming to improve the robustness of assistive tech.
Principal Investigator(s): Hernisa Kacorri
Funder: National Science Foundation
Research Areas: Accessibility and Inclusive Design > Human-Computer Interaction > Machine Learning, AI, Computational Linguistics, and Information Retrieval
The research aims to develop a teachable object recognizer (TOR) app for blind users, enabling them to train machine learning models with personalized data through their smartphone cameras. This "teachability" approach addresses data scarcity in assistive technology. The study will explore effective user training, measure system efficacy, and evaluate accessible interactions through various research methods, aiming to improve the robustness of assistive tech.
Faculty
Recent News
Integrating Robots in Homes to Support Autistic Youth
A TRAILS pilot study looks at how families can use AI robotic animal companions in support services for autistic children
MD Today: Website Help for the Helpers
Students create custom software for nonprofits, sponsored by the INFO College