College - Author 1
College of Engineering
Department - Author 1
Computer Science Department
College - Author 2
College of Engineering
Department - Author 2
Computer Engineering Department
College - Author 3
College of Engineering
Department - Author 3
Computer Science Department
Advisor
Javier Gonzalez-Sanchez, CENG, CSSE Department
Funding Source
Barbara J. Van Ness and the College of Engineering
Date
10-2024
Abstract/Summary
This project explores the integration of augmented reality (AR) and Emotion AI technologies to enhance user experiences in physical environments. By seamlessly merging virtual elements with real-world contexts, we aim to deepen individuals’ interactions and perceptions of their surroundings. Leveraging AR technology enables users to access contextual information, engage with interactive content, and navigate spaces with heightened immersion and understanding. Additionally, Emotion AI enhances these experiences by detecting and responding to users’ emotional states, fostering personalized and emotionally resonant interactions. We aim to integrate digital content within physical environments using mixed-reality headsets equipped with eye-tracking capabilities and consumer-grade wireless EEG devices. Through innovative methods, we seek to enhance the overall user experience and create dynamic, impactful interactions in cultural, urban, and architectural settings. Furthermore, this initiative aims to enrich the educational journey of students by providing hands-on experience in space design, artificial intelligence for enhancing human interactions, and, ideally, technology-driven connections with cultural heritage. By exploring spatial and affective computing topics, students will gain invaluable insights into the potential of emerging technologies to transform place-based affect-driven interactions for diverse audiences.
October 1, 2024.
Included in
Artificial Intelligence and Robotics Commons, Graphics and Human Computer Interfaces Commons, Other Computer Sciences Commons, Software Engineering Commons
URL: https://digitalcommons.calpoly.edu/ceng_surp/65