Research in this area focuses on identifying factors, both human and technological, that serve as barriers limiting or prohibiting the equitable participation in online learning (e-learning) for one or more vulnerable populations, such as people with disabilities.
We examine design factors in learning management systems (LMS) to determine how they negatively impact the online learning experience of people with disabilities. Employing participatory design methods, we gather design and interaction preferences from the voices of end users, especially those with disabilities, to apply more usable and accessible design patterns.
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Our work researches interventions to help empower people's agency by increasing their fluency with, awareness of, and precautions regarding artificial intelligence (AI), in particular generative artificial intelligence (GenAI), for their own understanding and informed use, as well as taking safety measures to avoid its nefarious use.
This work focused on the design, development, and evaluation of an AI literacy chatbot named Litti to investigate its effectiveness in educating older adults (65+) about GenAI and improving their AI literacy.
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