Manuele Reani is an Assistant Professor of Information Systems at The Chinese University of Hong Kong, Shenzhen and a visiting lecturer at The University of Manchester. Before joining the CUHK, Shenzhen, he was a Postdoctoral Research Associate at The University of Manchester, working on an Alan Turing Institute project in health data science.


He obtained a PhD from The University of Manchester and an MSc in Management Science from the London School of Economics (LSE). His PhD research focused on Human-computer Interaction and behavioural decision making. He worked on two projects at The Hong Kong University of Science and Technology (HKUST), in the HCI lab at the Department of Computer Science and Engineering (CSE). He obtained the certificate from the Big Data Analytics Summer School at The University of Essex. He obtained a mini-MBA from The University of London (Birkbeck). He has been a reviewer for journals in computer science and psychology and his papers have been published in prestigious computer science and psychology journals. His research interests are human-computer interaction, data science, decision making, behavioural economics, cognitive science and the application of data analytics to study human behaviour.




I am interested in the use of analytics to study human behaviour. My main areas of interests are behavioural analytics, cognitive science, human-computer interaction, behavioural economics and decision making. I am interested in applying analytics techniques in healthcare settings (i.e., health informatics, medical informatics), in psychology to study psychological processes (i.e., cognitive science, decision making), in marketing (e.g., consumer behaviours, influencer marketing, social media) and in economics (behavioural economics, behavioural finance). I am interested in applying a combination of methods including machine learning, data mining, statistics, cognitive modelling, visualization, online experiments, behavioural experiment. I am also interested in developing new research methods for studying human behaviour and cognition.    

Academic Publications


1. Sun, Z., Reani, M., Li, Q., & Ma, X. (2020). Fostering Engagement in Technology-Mediated Stress Management: A Comparative Study of Biofeedback Designs. International Journal of Human-Computer Studies, 102430.

2. Reani Manuele, Alan Davies, Niels Peek and Caroline Jay. “Evidencing How Experience and Problem Format Affect Probabilistic Reasoning Through Interaction Analysis”. Frontiers in Psychology 10 (July 2019). DOI: 10.3389/fpsyg. 2019. 01548. 

3. Reani Manuele, Niels Peek, and Caroline Jay. “How Different Visualizations Affect Human Reasoning about Uncertainty: An Analysis of Visual Behaviour.” Computers in Human Behavior 92 (March 1, 2019): 55–64.

4. Wu, Ziming, Zhida Sun, Taewook Kim, Manuele Reani, Caroline Jay, and Xiaojuan Ma. “Mediating Color Filter Exploration with Color Theme Semantics Derived from Social Curation Data.” Proc. ACM Hum.-Comput. Interact. 2, no. CSCW (November 2018): 187:1–187:24.

5. Reani Manuele, Niels Peek, and Caroline Jay. 2018. An investigation of the effects of n-gram length in scanpath analysis for eye-tracking research. In ETRA ’18: ETRA ’18: 2018 Symposium on Eye Tracking Research and Applications, June 14–17, 2018, Warsaw, Poland. ACM, New York, NY, USA, 8 pages.

6. Reani Manuele, Alan Davies, Niels Peek, and Caroline Jay. “How Do People Use Information Presentation to Make Decisions in Bayesian Reasoning Tasks?” International Journal of Human-Computer Studies 111 (March 1, 2018): 62–77.

7. Alan Davies, Manuele Reani, Markel Vigo, Simon Harper, Martin Grimes, Clare Gannaway, and Caroline Jay. 2017. Does descriptive text change how people look at art? A novel analysis of eye-movements using data-driven Units of Interest. Journal of Eye Movement Research 10, 4 (2017).

8. Wang Weigang, and Reani Manuele. “The Rise of Mobile Computing for Group Decision Support Systems: A Comparative Evaluation of Mobile and Desktop.” International Journal of Human-Computer Studies 104 (August 1, 2017): 16–35.