Dr Mengdie Zhuang
PhD (Sheffield)
Information School
Lecturer in Data Science
Full contact details
Information School
Room C223
The Wave
2 Whitham Road
Sheffield
S10 2AH
- Profile
-
I joined the Information School as a lecturer in 2021. Prior to this, I worked on identifying behaviour patterns from engaged users while searching or browsing online, and obtained my PhD degree from Sheffield in 2019.
Between 2019 - 2021, I worked as a research fellow at the Centre for Advanced Spatial Analysis, University College London, on creating novel data visualisation tools to support rapid infectious disease control.
- Research interests
-
My research aims to deepen our quantitative understanding of how people interact with artificial systems in the process of acquiring information, and how this interaction augments the user experience and influences decision-making. I am particularly interested in analysing these interactions through quantitative methods, including machine learning and network analysis, with theory from information retrieval and user engagement. I am also interested in using data visualisations to communicate complex datasets. My research includes, but is not limited to, issues around:
- User interaction with Information Systems such as information retrieval, crowdsourcing platforms. I am interested in identifying behaviour patterns that are indicative of positive user experience, and using those patterns to design or optimise systems to support learning or decision-making.
- Digital Health. I am interested in creating novel data analytic and visualisation components to make access to health resources more inclusive.
- Publications
-
Show: Featured publications All publications
Featured publications
Chapters
- What You Sow, So Shall You Reap! Toward Preselection Mechanisms for Macrotask Crowdsourcing, Human–Computer Interaction Series (pp. 163-188). Springer International Publishing
Conference proceedings papers
- Can User Behaviour Sequences Reflect Perceived Novelty?. Proceedings of the 27th ACM International Conference on Information and Knowledge Management
- Understanding Engagement through Search Behaviour. Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
- The Relationship Between User Perception and User Behaviour in Interactive Information Retrieval Evaluation (pp 293-305) View this article in WRRO
All publications
Journal articles
- A framework for evaluating dashboards in healthcare. IEEE Transactions on Visualization and Computer Graphics, 28(4), 1715-1731.
- Household visitation during the COVID-19 pandemic. Scientific Reports, 11(1).
- Digital technologies in the public-health response to COVID-19. Nature Medicine, 26(8), 1183-1192.
- Changing Demand for New York Yellow Cabs during the COVID-19 Pandemic. Findings.
Chapters
- What You Sow, So Shall You Reap! Toward Preselection Mechanisms for Macrotask Crowdsourcing, Human–Computer Interaction Series (pp. 163-188). Springer International Publishing
Conference proceedings papers
- How Do User Opinions Influence Their Interaction With Web Search Results?. Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization
- In What Mood Are You Today?. Proceedings of the 10th ACM Conference on Web Science - WebSci '19, 30 June 2019 - 3 July 2019.
- Can User Behaviour Sequences Reflect Perceived Novelty?. Proceedings of the 27th ACM International Conference on Information and Knowledge Management
- Understanding Engagement through Search Behaviour. Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
- Modelling User Behaviour based on Process. Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization
- The Relationship Between User Perception and User Behaviour in Interactive Information Retrieval Evaluation (pp 293-305) View this article in WRRO
- Modelling User Search Behaviour Based on Process. Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
- Search behaviour before and after search success. CEUR Workshop Proceedings, Vol. 1647
Preprints
- A Framework for Evaluating Dashboards in Healthcare, arXiv.
- Go local: The key to controlling the COVID-19 pandemic in the post
lockdown era, arXiv.
- What You Sow, So Shall You Reap! Toward Preselection Mechanisms for Macrotask Crowdsourcing, Human–Computer Interaction Series (pp. 163-188). Springer International Publishing
- Teaching interests
-
I have taught modules in the areas of programming, data mining, digital health and visualisation.
I am currently the module coordinator of INF4000 Data Visualisation, and contribute INF6027 Introduction to Data Science and INF4001 Information Visualisation for Decision Makers.
- Professional activities and memberships
-
- Honorary Fellow at the Centre for Advanced Spatial Analysis, University College London.
- Honorary Health Scientist at University College London Hospital.
- Reviewer for academic journals and conferences:
- International Journal of Human - Computer Studies.
- Journal of Librarianship and Information Science.
- International Journal of Geographical Information Science. - Frontiers on Digital Public Health.
- Digital Geography and Society
- Journal of Medical Internet Research
- ACM Conference on Computer-Supported Cooperative Work and Social Computing ( CSCW2018, 2021).
- ACM Conference on Web Science (WebSci, 2019).
- ACM Conference on Human Factors in Computing Systems (ACM CHI, 2018).