Research Areas: AI and Human-Centric Workplace Systems

AI and Organizational Behavior – We investigate how the integration of AI reshapes the fundamental nature of work and the human experience within organizations. Our research examines the critical shift in employees’ perceptions of agency, identity, and intrinsic value in AI-driven work environments. By applying both psychological and computational lenses, we decode whether AI-enabled workplaces treat individuals as valued human contributors or instrumental objects, and how these perceptions ripple through organizational social dynamics.

Algorithmic Negotiation and Strategic Conflict – We explore the frontier of decision-making where human intuition meets algorithmic precision. Our research analyzes how AI—acting as a negotiator, mediator, or strategic partner—alters both economic payoffs and psychological outcomes. We specifically focus on redefining the boundaries of negotiation and conflict management in complex, multi-party, and cross-cultural contexts, ensuring that AI-mediated negotiations remain effective and human-aligned in an increasingly automated global landscape.

Computational Ethics and Algorithmic Accountability - As AI assumes greater decision-making authority, we treat ethical behavior as a complex system dynamic rather than a static rulebook. We formalize the psychological drivers of integrity within human-AI collectives by integrating rigorous behavioral experiments with advanced computational modeling. Our mission is to engineer systems where human moral heuristics and algorithmic outputs are fundamentally aligned, solving the grand challenge of accountability through data-driven simulation and experimental rigor.

AI-Augmented Creativity and Innovation - We seek to unlock the synergy between human intuition and machine intelligence. Our research identifies the facilitators and inhibitors of creative thinking in environments where AI acts as a co-creator. By investigating the conditions that foster novel and useful ideas in AI-integrated workflows, we design organizational structures where technological assistance serves to enhance—not stifle—human creative potential and organizational innovation.

AI-Integrated Workspace Design and Occupational Safety - In collaboration with the Department of Civil and Environmental Engineering, we bridge architectural engineering and behavioral science to redefine the physical and virtual future of work. We investigate the cognitive impact of AI-enhanced environments, focusing on how AI-driven safety systems and environmental monitoring influence affective health and resilience. We aim to design sustainable, human-centric workspaces that prioritize occupational and psychological safety. 

Join Our Mission 

Bridging the gap between human nature and algorithms requires a multidisciplinary mind. Whether you are a social scientist with a passion for data-driven logic, or a computer, mathematical, or data scientist with a deep curiosity about human behavior, we invite you to join us. If you have a solid foundation in one area and the intellectual curiosity to embrace the other, our lab is an inspiring place to redefine your boundaries and lead the future of #AI_and_Human_Psychology.