夜色视频

Performance System Technologies (PST) Lab

Dr. Houmanfar’s Performance System Technologies (PST) Lab at the 夜色视频 represents diverse research interests spanning across behavioral systems analysis, cultural behavior analysis, analysis of verbal behavior, rule governance, values-based governance, relational responding, prosocial cooperation, and well-being in organized cultural entities, and beyond.

This approach guides leaders’ promotion of wellbeing and performance improvement by:

  1. Operating in the context of positive conditions for others.
  2. Minimizing aversive or coercive conditions of others.
  3. Aiding others in identifying or achieving optimal levels of performance.

Performance System Technologies Lab members

Members of the PST Lab (from left to right, beginning on the top row): Dr. Rita Olla (Postdoctoral fellow); Theo Fuentes, Donna West, Dr. Ramona Houmanfar, Miguel Maciel and Changzhi Wu

Interdisciplinary collaborations and consultations

PST Lab’s record includes collaboration with leadership teams in global energy companies, department of defense and medical education. For instance, through the last 14 years, PST team has utilized rigorous measurement tools to conduct assessment of behaviors of interest such as communication, implicit attitudes, psychological flexibility, and professional identity as part of the curriculum design at UNRMed. This interdisciplinary collaboration has also involved the development of an Acceptance and Commitment Training (ACT) curriculum targeting student well-being, burnout management and professional identity. Dr. Houmanfar and her research team have recently joined an interdisciplinary team of medical professionals and academicians interested in promotion of prosocial cooperation in perioperative medical teams at the University of Pennsylvania.

Dr. Houmanfar's interdisciplinary collaboration over the last five years also includes serving as a Co-PI on a federal grant with faculty members in the Computer science and Cybersecurity programs at UNR. The grant focused on research pertaining to Artificial Intelligence (AI) biases and cooperation between AI and Humans. This project offered PST lab members the platform for research and training with colleagues at the College of Engineering.