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Abstract
Intelligent video analytics has been growing in the past decade, with a variety of applications from fraud detection to traffic control. This research focuses on the impact of intelligent video analytics on market surveys. Based on the experiments conducted, it can be concluded that the use of intelligent video analytics can enhance decision-making by improving response rate and accuracy, and reduce some of the cognitive biases that may be affecting quantitative primary data.
Additional information
Notes on contributors
Sule Balkan
Sule Balkan is an associate professor at the National Chiao Tung University (NCTU) in Taiwan. She got her PhD in economics from the University of Arizona Eller College of Management. She teaches business intelligence and analytics, and information management in the Global MBA program. Her research interests include predictive modeling, advanced analytics, information driven campaign management, and Big Data. Sule has presented her research in a number of conferences such as AMCIS, ICIS, HICSS. Before moving to Taiwan, Sule worked as a clinical associate professor of information systems in the W.P. Carey School of Business, Arizona State University.
Tetyana Kholod
Tetyana Kholod is a research assistant and a PhD student in Institute of Business and Management at National Chiao Tung University, Taiwan. She got her Global MBA degree from the same university. Her research interests include practical implementation of science and technology in business, emerging technologies development, and business analytics. She recently presented her work at DSS 2.0–Supporting Decision Making with New Technologies.