About
Cedomir Stanojevic is an assistant professor at the College of Behavioral, Social and Health Sciences. Dr. Stanojevic holds a Ph.D. in Leisure Behavior from Indiana University's School of Public Health. His research focuses on leisure-based interventions that can enhance the quality of life for individuals with disabilities. Focusing on Socially Assistive Robotics and Ecological Momentary Assessment, Cedomir aims to understand how implementing and adopting emerging technologies improve various populations' health outcomes. Dr. Stanojevic is committed to developing evidence-based practices that can contribute to positive health outcomes for individuals with disabilities (specifically the population diagnosed with autism spectrum disorders). He utilizes the ecological momentary assessment philosophy as the guide in research design and tends to collect participant interaction data in real-time while characterizing variations in behaviors within a participant over time. In addition, Dr. Stanojevic received invitations and has accepted the opportunity to join the Institute of Engaged Ageing and the Center for Addiction and Mental Health Research while currently working on establishing a partnership with Clemson Rural Health.
Visit Dr. Stanojevic's College Profile.
How their research is transforming health care
Cedomir Stanojevic is collaborating with an interdisciplinary team of experts to develop a digital health system that incorporates various technologies, including wearables, smartphone apps, robots, artificial intelligence, and physiological biomarkers. Digital health (DH) systems have demonstrated potential in supporting individuals with various conditions and changing traditional approaches to managing mental health disorders through technology- based resources known as digital therapeutics. The use of DH systems enables both patients and health providers to gain a deeper understanding of underlying conditions that may be difficult to diagnose or manage through traditional clinical observations. Previous studies have shown that Socially Assistive Robots (SARs) have been successful in reducing symptoms of depression and apathy while increasing activity levels in older adults with cognitive impairment. SARs have also been found to support the development of functional skills, social interactions, emotional expressiveness, user engagement, and behavior change. Incorporating SARs into the DH system can provide valuable data from the sensors onboard the robot, which can help identify behavior modalities in patients. Additionally, Dr. Stanojevic’s research collaborator reported that smartphone accelerometer data can be used to track and predict fluctuations in mental health symptoms, such as bipolar disorder symptom trajectories. Tying robotic sensor data to other DH system biomarkers can provide a more comprehensive picture of patient health outcomes.
Health research keywords
Faculty Scholar, Ecological Momentary Assessment, Autism Spectrum Disorder, Intellectual and Developmental Disabilities, Socially Assistive Robots, Digital Therapeutics, Digital Health System, Recreational Therapy
