FIT Project

 

Fostering Inclusivity through Technology (FIT)

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

Autistic and non-autistic people often misunderstand each other. In the workplace, these miscommunications can lead to inefficiency and frustration for everyone, and discrimination and even loss of employment for autistic people. This project investigates the causes of miscommunications between autistic and non-autistic people, and how we could potentially intervene with technology. Our long-term goal is to build a video-calling platform that promotes mutual understanding between autistic and non-autistic people.

This project requires both interdisciplinary collaboration and sustained engagement with stakeholders. Our neurodiverse research team includes autistic people, language and cognitive scientists, engineers, and experts in machine learning and human-computer interaction. We also engage with autistic and non-autistic stakeholders in industry, policy, and advocacy.

We are pursuing several strands of convergent research:

  • Investigating communication needs and challenges in workplaces with autistic people (we’re currently recruiting for our first study!)
  • Analyzing real-time communication dynamics in conversations between non-autistic people, autistic people, and mixed-neurotype pairs
  • Developing and testing new features for video calling platforms
  • Developing efficacy benchmarks and ethical criteria for AI-infused technology to support communication

This research is supported by a Grand Challenges grant from the University of Maryland, and a mini-grant from the Frist Center for Autism and Innovation at Vanderbilt University.

Our Team

Yi Ting Huang

Yi Ting Huang

PI; Faculty, Hearing & Speech Sciences

Shevaun Lewis

Shevaun Lewis

Co-PI; Project Manager; Director, UMARC

Ge Gao

Ge Gao

Co-PI; Faculty, College of Information Studies

Kathy Dow-Burger

Kathy Dow-Burger

Co-PI; Faculty, Hearing & Speech Sciences

Andrew Begel

Andrew Begel

Co-PI; Faculty, Computer Science, Carnegie Mellon University

Carol Espy-Wilson

Carol Espy-Wilson

Faculty, Electrical & Computer Engineering

Elizabeth Redcay

Elizabeth Redcay

Faculty, Psychology

Louiqa Raschid

Louiqa Raschid

Faculty, Smith School of Business

Ira Kraemer

Ira Kraemer

Faculty Assistant, FIT Project

Quentin Leifer

Quentin Leifer

Faculty Assistant, FIT Project

Aparajita Rao

Aparajita Rao

Faculty Assistant, FIT Project