Anthony Faiola, Ph.D., M.F.A.
- Associate Professor, Human-Computer Interaction
faiola [at] iupui [dot] edu
- Ph.D. Communication, Purdue University, West Lafayette, IN, 2005
- M.A. Industrial Design, The Ohio State University, Columbus, OH, 1984
- M.F.A. The Ohio State University, Columbus, OH, 1979
- M.A. Fine Arts, State University of New York at Albany, NY, 1977
- B.F.A. State University of New York at New Paltz, NY
Dr. Faiola is an Associate Professor in the Department of Human-Centered Computing in the School of Informatics and Computing (SoIC). As the founding Director of the Human-Computer Interaction (HCI) Program (2002-2014), he was integrally involved with all phases of the development and leadership of the four HCI programs: Ph.D., MS, Graduate Certificate, and Undergraduate Certificate. Dr. Faiola held the position of Executive Associate Dean from 2008 to 2013. He was also Director of the Media Arts and Science Program from 2007 to 2009. Dr. Faiola came to SoIC in 2001 after a three-year appointment at Purdue University, Department of Computer Graphics. Dr. Faiola is a three-time Fulbright Scholar to Russia. He has published over 80 refereed papers and given over 90 presentations and invited talks. As both PI or co-PI, he has secured over $1M in research funding from such places as the: National Science Foundation, MacArthur Foundation, and Fulbright Institute. He has been the primary advisor to over 50 HCI MS students and 12 HCI Ph.D. students.
Dr. Faiola’s research is positioned at the intersection of human-centered computing (HCC) and health informatics. From a broad theoretical perspective, his research encompasses the study of the effects of technology on the human condition, including cognitive load and emotional frailty—particularly how such knowledge both informs and shapes the design of human-centered health information technology, social media networks, military technology. The greater part of his research has focused on the design of a data visualization dashboard for electronic medical records. The product, MIVA (medical information visualization assistant), was designed for use in the ICU or other medical data-rich clinical spaces. MIVA is a mobile technology that allows access to real-time patient physiological data from any location. Approaches to observing the complexities of clinical workflow in the ICU provide opportunities to better understand how decision-support systems can impact information gathering, clinical team communication, and diagnostic outcomes.
Ben Shneiderman, et al, included MIVA as one of fourteen state-of-the-art information visualization systems for exploring and querying EHRs, in Foundations and Trends in Human-Computer Interaction, Vol. 5, No. 3 (2013) 207-298. 1
Most recent publications include:
- Faiola, A. Srinivas, P. and Duke, J. (2015). Supporting clinical cognition: a human-centered approach to a novel ICU information visualization dashboard, American Medical Informatics Association, Annual Symposium, November 14, 2015.
- Faiola, A., Srinivas, P. and Doebbeling, B. (2015) A Ubiquitous Situation-Aware Data Visualization Dashboard to Reduce ICU Clinician Cognitive Load, Proceedings of the IEEE HealthCom 2015, Boston, MA, April 15, 2015.
- Srinivas, P., Faiola, A., and Khan, B. (2015). Supporting Information Management in ICU Rounding A Novel Mobile System for Managing Patient-Centered Notes and Action-Items, Proceedings of the IEEE HealthCom 2015, Boston, MA, April 15, 2015.
- Faiola, A., Srinivas, P., and Hillier, S. (2015). Improving patient safety: Integrating data visualization and communication into ICU workflow to reduce cognitive load. Proceedings from Human Factors and Ergonomics in Health Care (Improving the Outcomes), 2015, April 2015, Baltimore, MD.
- Srinivas, P., and Faiola, A. (2014). Modeling Clinical Workflow in Daily ICU Rounds to Support Task-based Patient Monitoring and Care. Proceedings from CSCW 2015: Doctoral Consortium Extended Abstracts, March 2015, Vancouver, Canada.
- Faiola, A., Newlon, C., Pfaff, M., and Smysolva, O. (2013) Correlating the effects of flow and telepresence in virtual worlds: Enhancing our understanding of user behavior in game-based learning. Computers in Human Behavior, 29, 1113-1121.
- September 24, 2015
Informatics and Computing faculty conducting research to develop breathalyzer-type device to detect low blood sugar for diabetes
- March 28, 2014
Faculty and Students to be Recognized at Premiere Conference
- March 17, 2014
Human-Computer Interaction Faculty Member Awarded Patent for Medical System
- February 4, 2014
Students to Attend and Present at the 2014 Tapia Conference in Seattle, Washington
- November 13, 2013
Informatics and Computing Faculty and Students to Present at World Usability Day
- January 27, 2012
Faiola, Huang spend winter break focused on research and recruiting in Russia and China
- April 12, 2010
School of Informatics and Computing unveils plans for IUPUI gaming arcade for research and learning
- April 5, 2010
Faiola develops new medical information visualization technology to reduce errors in ICUs
- April 15, 2009
Anthony Faiola named executive associate dean of School of Informatics and Computing at IUPUI