Advancing HCI Training and Education Frameworks for Augmentative and Alternative Communication

Education is an important tool for social advancement since it teaches people how to improve themselves and their communities in terms of information, health, living conditions, and social equality. Some people, however, have restrictions that did not exist at birth and require assistance in reclaiming their talents and access to technology in order to thrive as human beings. Unless they receive additional communication assistance, those who have difficulty speaking clearly and being understood may struggle in many aspects of daily life, including but not limited to communicating, participating, studying, medical emergencies, work-related tasks, and family involvement. A machine learning-enhanced gesture-based motion-detection technique (GMDA-ML) has been proposed to address this. It shows great promise for helping autistic people communicate more effectively and meet their information-sharing needs. A psychological pattern approach is used to reveal linkages between data sets. Actions are described in depth, including the method for using gestures to access communication and how actions are performed in response to motions. Design and evaluation play an important role in creating products that are tailored to the needs of the end users. A positioning and mapping algorithm is developed to track and locate user motions for specific purposes. It can also assess interactive designs using gestures as the primary interaction input. They apply artificial intelligence tools to improve the process of satisfying each user's unique and demanding communication needs.