Staff Profile
Dr David Gundry
Lecturer Computer Science
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I have a PhD in Intelligent Games and Games Intelligence from the University of York where I studied in the Department of Computer Science. My research involves the design and development of applied games for collecting data. My previous background was in linguistics and I have a masters in Syntax and Semantics also from the University of York. I taught at York St John for four years as a Visiting Lecturer, before joining as a Lecturer in 2023.
My interests include all aspects of game design and development, human-computer interaction and design, and software development. I also enjoy rollerblading and playing the piano.
- School – School of Science, Technology and Health
- Email – d.gundry@yorksj.ac.uk
Teaching
## COM6013M - Artificial Intelligence for Games
The aim of this module is for students to understand and utilise artificial intelligence concepts and techniques for game environments and game development.
## COM5007M - Mobile Application Development
This module aims to give students a comprehensive understanding of the technologies used for developing applications for mobile computing devices.
## COM4002M - Mathematics and Problem Solving
The module focuses on the use of mathematics as a tool to model and analyse real-world problems arising in Computer Science.
Research
My research studies how we can design and use applied games for collecting scientific data from human participants.
Applied games are games that are used for some purpose in addition to entertainment. Applied games often motivate players to spend time doing a task that is helpful to society like processing data or sharing knowledge.
Science needs data, and when we want to do science on humans participants we need ordinary people to provide lots of data. Traditionally you pay people to participate. What if we could make a game that motivates and structures participation?
I focus on how we can design games to ensure that the data collected by such games is useful for science. In particular, I am interested in the (threats to) validity of data collected using games and how these are impacted by game design.
Publications and Conferences
Conference Papers
Gundry, D., & Deterding, S. (2022). Trading Accuracy for Enjoyment? Data Quality and Player Experience in Data Collection Games. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 1-14). https://dl.acm.org/doi/10.1145/3491102.3502025
Gundry, D., & Deterding, S. (2018). Intrinsic elicitation: A model and design approach for games collecting human subject data. In Proceedings of the 13th International Conference on the Foundations of Digital Games (pp. 1-10). http://eprints.whiterose.ac.uk/133118/
Journal Papers
Gundry, D., & Deterding, S. (2019). Validity threats in quantitative data collection with games: A narrative survey. Simulation & Gaming, 50(3), 302-328. https://doi.org/10.1177/1046878118805515
Cutting, J., Gundry, D., & Cairns, P. (2019). Busy doing nothing? What do players do in idle games?. International journal of human-computer studies, 122, 133-144. https://doi.org/10.1016/j.ijhcs.2018.09.006
Thesis
Gundry, D. E. (2022). Designing Games to Collect Human-Subject Data (Doctoral dissertation, University of York). https://etheses.whiterose.ac.uk/31655/
