HESP faculty Yi Ting Huang, PI, and Kathy Dow-Burger, Co-PI, are on the team leading one of the 16 University Grand Challenge Team Grants, FIT: Fostering Inclusivity through Technology. 

The Grand Challenges Grants Program — the largest and most comprehensive program of its type ever introduced at the University of Maryland — will support projects that address emerging societal issues, including climate change, social injustice, global health, and education disparities. Grand Challenges Team Project Grants support projects advanced by research teams that are targeted toward a specific component of a grand challenge topic or theme. Team Project awards provide up to $500K per year for 3 years of funding, which includes a 1:1 match of resources from participating colleges and/or departments.

 

Fostering Inclusivity through Technology (FIT)

Summary:

Achieving Common Ground in Autistic-Neurotypical Interactions with Innovations in Video Calling

Autistic people experience sensory and social information differently from neurotypical people, and this leads to frequent miscommunications and discrimination in majority-neurotypical workplaces. If we understand the precise causes and consequences of autistic-neurotypical misalignments in workplace conversations, we can unlock a new opportunity: to create augmented spaces for communication that negotiate differences and bridge gaps in neurodiverse workplaces. We will build Fostering Inclusivity through Technology (FIT), a video-calling platform that promotes mutual understanding by highlighting team sentiment, building rapport with strangers, connecting past and current topics in conversations, and unobtrusively identifying and resolving misunderstandings. The proposed research will bring together autistic people, social scientists, technologists, and stakeholders in industry, policy, and advocacy to describe communication needs in workplaces, understand real-time communication dynamics in single- and mixed-neurotype interactions, and develop efficacy and ethical criteria for technology to support autistic-neurotypical communication.

 

Source: https://research.umd.edu/fit 

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