Human Computer Interaction & Blue Eye Technology
Year: 2024
Type: article
Abstract: Human-Computer Interaction (HCI) is an interdisciplinary field that focuses on the design, evaluation, and implementation of interactive computing systems for human use, as well as the study of major phenomena surrounding them. It encompasses elements from computer science, psychology, cognitive science, design, and ergonomics to understand the interaction between people (users) and computers, enhancing the overall user experience and usability of systems. The evolution of HCI has shifted from the early focus on hardware and software efficiency towards the broader concept of user-centered design (UCD), where the needs, capabilities, and limitations of users are central to the development process. Key areas of HCI research include usability, accessibility, user interface (UI) design, interaction techniques, and the emotional and cognitive impacts of technology on users. Human Computer Interaction (HCI) focuses on designing systems that allow seamless communication between humans and computers, enhancing usability and user experience. Blue Eye Technology is an innovative system designed to enable computers to recognize and respond to human emotions and behaviors. It integrates various sensing devices and artificial intelligence techniques to capture and process psychological and perceptual information, such as eye movements, voice patterns, facial expressions, and even physical gesture. By monitoring eye gaze, pulse rate, and other biometric signals, the system can interpret the user’s emotional state and intentions, enabling more natural, empathetic human-computer interactions. This technology has applications in fields like healthcare, automative, and entertainment, aiming to enhance user experience, safety, and efficiency. Blue Eye Technology is a breakthrough in HCL, enabling computers to recognize and interpret human emotions through inputs like eye movements, facial expressions, and voice patterns. By analyzing these psychological signals, it allows for more natural, empathetic, and intuitive interactions, improving how users engage with technology across various field.
Authors: Tatte, Gauri Dinesh, Athawale, Prof. Samata V.
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949678607
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