Biography

Manuele Reani is a computer scientist, psychologist, and scholar specializing in Human-AI Collaboration, Cognitive Science, and Human-computer Interaction (HCI). He currently focuses on behavioral decision-making in human-AI collaborative environments, integrating cognitive science principles with AI design.

Previously, he served as a Postdoctoral Research Associate at The University of Manchester, contributing to health data science projects affiliated with the Alan Turing Institute. He holds a PhD in Computer Science from The University of Manchester, where his dissertation focused on Human-Computer Interaction (HCI) and behavioral decision-making. Additionally, he earned an MSc in Management Science from the London School of Economics (LSE) and a mini-MBA from the University of London. He is also a chartered psychologist (BSc, CPsychol) registered with the British Psychological Society (BPS).

Prof. Reani's multidisciplinary expertise has spanned the fields of computer science, psychology, and behavioral economics, with the core objective of understanding and improving human decision-making through the use of technology. His research portfolio includes peer-reviewed articles published in prestigious journals and conferences across both computer science and psychology. He has actively contributed to the scientific community as a reviewer and guest editor for reputable journals in these disciplines. He has also served as a consultant for several companies in different countries.

His professional trajectory includes impactful roles in academia, notably as a scholar, editor, reviewer, researcher, and lecturer, with teaching experience at The University of Manchester and The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), and research engagements at The Alan Turing Institute and Hong Kong University of Science and Technology (HKUST). He has been teaching courses in Statistics with SPSS, Applied Statistics and Dana Analysis with R, Research Method and Experimental Design, UX Research, Human-computer Interaction, Business Intelligence and Analytics, and Web Analytics. 

Research

I am a cognitive psychologist and computer scientist interested in how technology, especially AI, can support human cognitive and decision processes. I have been studying how humans reason about uncertainty and how they make decisions under risk and the use of analytics techniques, including statistics and machine learning methods, to study and predict human behavior.  Recently, my main focus has been on how to leverage AI to understand and support human decision-making

 My main research focuses on areas such as:

  • Human-AI Collaboration

  • AI Design 

  • Human-computer Interaction (HCI)

  • UX Research

  • Cognitive Science 

 

Publications

1. "Editorial: Communication of Risk in the Public Realm",Reani M, Jay C and Ottley A,,13:935352,2022

2. "Convincing or Odd: Anthropomorphic Design Cues in Chatbots",Bao, Zhuolan; Chen, Jiashu; Luo, Yunzhong; and Reani, Manuele,,PACIS 2022 Proceedings, 255,2022

3. "UK daily meteorology, air quality, and pollen measurements for 2016–2019, with estimates for missing data.",Reani, M., Lowe, D., Gledson, A., Topping, D., & Jay, C.,,9(1), 1-12,2022

4. "Convincing or Odd: Anthropomorphic Design Cues in Chatbots",Bao, Zhuolan, Jiashu Chen, Yunzhong Luo, and Manuele Reani.,,,2022

5. "Communication of Risk in the Public Realm",Reani, M., Jay, C., & Ottley, A. (2022),,,2022

6. "Fostering Engagement in Technology-Mediated Stress Management: A Comparative Study of Biofeedback Designs",Sun, Z., Reani, M., Li, Q., & Ma, X.,,102430,2020

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

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

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

10. "An investigation of the effects of n-gram length in scanpath analysis for eye-tracking research",Reani Manuele, Niels Peek, and Caroline Jay,,June 14–17, 2018, Warsaw, Poland. ACM, New York, NY, USA, 8 pages

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

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

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