Anthony Faiola, Ph.D., M.F.A.

Anthony Faiola


faiola [at] iupui [dot] edu
IT 585

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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.

Research Interests

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:

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