From perception to decision: what could human behaviours tell
June 9, 13.00 AEST
Title: From perception to decision: what could human behaviours tell
Speaker: Dr Kun Yu (UTS)
Bio: Kun Yu received the BE degree from Beihang University, Master by research degree in Chinese Academy of Sciences in 2001 and 2004 respectively. He joined Nokia Research Centre (Asia) as a research fellow, and senior research scientist afterwards. In 2010 he came to Australia and started his PhD journey in UNSW, and worked as a research fellow in National ICT Australia and Data61, CSIRO after graduation. He has published in various HCI venues including IUI, CHI, Interact etc., and over 30 international patents, with more than 900 citations so far. Currently Dr. Yu is leading the Human Performance Analytics (HPA) team of Data Science Institute (DSI), UTS, and also managing the Predator Lab, UTS. Dr. Yu is also serving the distinguished reviewer board of the ACM TIIS journal. For more info: https://profiles.uts.edu.au/Kun.Yu
Abstract: Immersed in a world of data and models, humans always find their own ways to process the huge amount of information surrounding them. However, the increasingly complicated machine learning methods and their dynamic nature have made it difficult for humans to understand their mechanism, and take full advantage of their capabilities. Incorrect judgements on the data systems may occur from time to time, while in the worst cases the human may avoid the data science technique at all. Via investigation of the human behaviours, we will be able to identify the problems arising in human-data interaction, and devise corresponding resolutions to improve the human-system interaction efficiency. This seminar introduces our exploration in this field, in particular how the human behaviours could be linked to their perceptions and decisions, and applied in specific contexts such as human-machine collaboration and cybersecurity examination to guide better data system design.