Assistive Technology
Assistive technology aims to enhance the independence and quality of life for individuals with disabilities, focusing on areas like mobility, vision, and motor control. Current research emphasizes user-centered design, incorporating AI-driven solutions such as computer vision, natural language processing, and deep learning models (including transformers) to create personalized and adaptable systems. This field is significant for its potential to improve accessibility and inclusion, driving advancements in human-computer interaction and impacting the lives of millions through improved assistive devices and software.
Papers
Evaluating Assistive Technologies on a Trade Fair: Methodological Overview and Lessons Learned
Annalies Baumeister, Felix Goldau, Max Pascher, Jens Gerken, Udo Frese, Patrizia Tolle
ProgramAlly: Creating Custom Visual Access Programs via Multi-Modal End-User Programming
Jaylin Herskovitz, Andi Xu, Rahaf Alharbi, Anhong Guo