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Our goal is to understand the needs of persons with mild cognitive impairment and their care partners when it comes to meal planning and food preparation with a focus on creating novel methods to capture information from the users regarding their household specific routines, preferences, values, and traditions that could be used to create AI interventions that are adapted to their individual needs.

Games with a purpose (GWAPs) have proven to be effective solutions to solving difficult problems, labeling data, and collecting commonsense knowledge. Unlike traditional games, GWAPs must balance between acquiring accurate solutions or data and maintaining player engagement. However, when it comes to designing GWAPs, the effects of different game mechanics on accuracy and engagement are not well understood. We have conducted two studies to understand the way different choices of game mechanics and their affect on player behavior.

Prior research has produced mixed results regarding the usefulness of interactivity in multimedia learning. In this study, participants learned to solve part of a Rubik's Cube using either a tutorial with interactive features or a passive (video-based) tutorial. Participants with low spatial ability benefited more from interactivity than those with high ability, though no performance main effects were found between the tutorials. Targeted use of interactivity could be effective in engaging students and help them learn.