In the Human-Tech Dynamics Lab, we explore the complexities of human-technology interactions and their psychological, social, and cultural impacts.
Our research encompasses a broad spectrum of topics, including artificial intelligence (AI), social media, and multitasking. We employ diverse methodologies like surveys, experiments, interviews, longitudinal studies, physiological measurements, and ecological momentary assessments.
Our current projects include examining human-AI collaboration via eye-tracking, exploring the development of AI companionship over time, and investigating how AI can persuade and correct misinformation.
Lab Manager
Dr. Chang "Molly" Mao earned her Ph.D. in Communication with a concentration in Quantitative Psychology from The Ohio State University in 2022. Her research uses quantitative methods to examine how people interact with communication technologies and AI, especially in organizational and health contexts. She is excited to join the Human-Tech Dynamic Lab to collaborate on projects that enhance communication outcomes across individual, organizational, and societal levels.
Lab Members
Oyindamola Olawunmi's research interests lie at the intersection of sustainability and artificial intelligence (AI). I am particularly interested in how AI can be used to promote sustainable behaviors, reduce waste, and help individuals and organizations make more eco-friendly decisions. This includes using digital platforms, algorithms, and data-driven tools to raise environmental awareness and encourage responsible consumption.
Buduo Wang is an Assistant Professor in the College of Media and Communication at Texas Tech University. His research interests lie at the intersection of health communication, computer-mediated communication, and persuasion resistance. He explores the psychological mechanisms underlying how individuals process and evaluate health messages, especially in online environments. His recent work examines how online users perceive and assess health information received from social media influencers and artificial intelligence.
Ali Ahsan is a Ph.D. student in the College of Media and Communication at Texas Tech University. He is interested in exploring how AI technologies can be integrated into human communication, particularly education. Through an in-depth analysis of social, cultural, psychological, and interpersonal factors, Ali hopes to provide insights for optimizing AI implementation strategies to enhance social and educational outcomes, and to facilitate the integration of AI innovations to empower learning environments.
Bridget Maglo is a graduate student and teaching assistant at Texas Tech University. She specializes in Artificial Intelligence, human-machine interaction, and psychological well-being. Bridget’s current research explores the emotional capacity of social chatbots as companions for users. Through her studies, she aims to provide insights into enhancing AI to offer meaningful support, especially for individuals lacking real-time support.
