Improving social interaction of the visually impaired individuals through conversational assistive technology

Abstract

PurposeAssistive technology has been developed to assist the visually impaired individuals in their social interactions. Specifically designed to enhance communication skills, facilitate social engagement and improve the overall quality of life, conversational assistive technologies include speech recognition APIs, text-to-speech APIs and various communication tools that are real. Enable real-time interaction. Using natural language processing (NLP) and machine learning algorithms, the technology analyzes spoken language and provides appropriate responses, offering an immersive experience through voice commands, audio feedback and vibration alerts.Design/methodology/approachThese technologies have demonstrated their ability to promote self-confidence and self-reliance in visually impaired individuals during social interactions. Moreover, they promise to improve social competence and foster better relationships. In short, assistive technology in conversation stands as a promising tool that empowers the visually impaired individuals, elevating the quality of their social engagement.FindingsThe main benefit of assistive communication technology is that it will help visually impaired people overcome communication barriers in social contexts. This technology helps them communicate effectively with acquaintances, family, co-workers and even strangers in public places. By enabling smoother and more natural communication, it works to reduce feelings of isolation and increase overall quality of life.Originality/valueResearch findings include successful activity recognition, aligning with activities on which the VGG-16 model was trained, such as hugging, shaking hands, talking, walking, waving and more. The originality of this study lies in its approach to address the challenges faced by the visually impaired individuals in their social interactions through modern technology. Research adds to the body of knowledge in the area of assistive technologies, which contribute to the empowerment and social inclusion of the visually impaired individuals.

Dynamic community detection algorithm based on hyperbolic graph convolution

“…With the rapid growth of digital information, complex network theory has garnered widespread interest across various research domains (Ye et al, 2024;Ghafoor et al, 2024). Community detection emerges as a crucial aspect of this theory, aiming to unveil closely interconnected node clusters within networks, thus shedding light on their internal structure and functional modules, these community structures often correspond to actual groups or organizations in the real world (Newman, 2006;Lin et al, 2024).…”

“…With the rapid growth of digital information, complex network theory has garnered widespread interest across various research domains (Ye et al. , 2024; Ghafoor et al. , 2024).…”