Technology Assisted Conversations

The goal of this project is to enhance the capabilities of people engaged in face-to-face conversations. In particular, face-to-face conversations can can be difficult for people having a disorder preventing speech. People who cannot speak may use an Augmentative and Alternative Communication (AAC) device. Reflecting the broad range of abilities of AAC users, a broad range of AAC solutions exist, from simple communication boards to sophisticated tablet computers. For literate AAC users, a device that makes predictions based on natural language is often used. Unfortunately, predictive AAC devices are typically slow, often below 10 words-per-minute.

This project investigates new algorithms, data sets, and interfaces for improving face-to-face conversations. You can learn more about the project's research and activities on the following pages:

For more information about this project, contact Keith Vertanen: [email protected].

Supported by:

National Science Foundation
Michigan Technological University