The Human-Centered Computing Group (HCCG) is dedicated to modelling the dynamics of complex sociotechnical interactions. Our research investigates how technology influences user experiences, decision-making processes, and awareness of digital consequences. We develop human-centered metrics to model user experiences using a combination of predictive-computational methods, empirical performance metrics, self-reported scales, and behavioral metrics. Additionally, we explore the ethical implications and administrative aspects of technology use, marking these as secondary yet crucial dimensions of our work. Our work encompasses three principal domains: entertainment computing, human-centered AI, and human-system interactions in complex environments. Through this approach, we aim to deepen our understanding of technology interactions within these areas, contributing to the creation of more intuitive and effective digital environments.
Our research within this theme primarily concentrates on video games, with a secondary focus on social media and social robotics. The core of our work involves enhancing player experiences in gaming environments. Our projects are diverse, encompassing the development of models to improve player engagement, analysis of player personality and psychosocial traits, creation of advanced Non-Player Characters (NPC) using stochastic methods, and leveraging foundation models and generative AI in game development. We are committed to refining research methodologies in game user experience and exploring the role of serious games in education and healthcare. Our research also extends to in-game advertising and purchases, simulation games, and eSports.
Our research is dedicated to developing human-centric metrics for evaluating and improving AI systems, with a focus on explainability, transparency, trust, fairness, and acceptance. We investigate how interface design influences these aspects and assess traditional computational metrics against human data to create benchmarks that better reflect AI performance from a human perspective. Currently, our work is centered on foundation models, particularly in text-to-image generation. We analyze these models for photorealism, caption alignment, and fidelity of AI-generated media content. Additionally, our research has focused on ethical responsibility and fairness in AI, particularly in recommendation systems, language models, autonomous vehicles, and decision-aids.
Our research focuses on designing and evaluating intelligent systems that augment human cognitive abilities in high-stakes environments. We explore how wearables, AI, and extended reality can improve operator performance and decision-making in safety critical industries like healthcare, process control, and transportation. We also address privacy and security concerns in emerging sociotechnical systems. Our research includes advancements in augmented reality aids for nuclear plant operators, augmented reality-based wearables for indoor navigation, computational models of driver behavior and situation awareness, studies on technostress in healthcare and process control, and addressing privacy issues in wearables and smart toys.
Copyright © 2024 HCCG - All Rights Reserved.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.