Curiosity & Games Design (Summer School 2019)
Curiosity is emerging as an important source of gameplay engagement in HCI. At the same time, game design has begun to develop and test models and tools for affording curiosity in gameplay. AI researchers in parallel are developing computational formalizations like artificial curiosity, novelty detection, or motivated reinforcement learning to model players, predict player experience, create effective and enjoyable non-player characters, or procedurally generate interesting game content. Despite this rich and growing work on human and computational curiosity, there is little multidisciplinary dialogue on how to measure, model, and drive curiosity in and through games.
In this project, we therefore want to establish the current state of the art of research at the intersection of curiosity and games with a systematic review.
If you are interested in this opportunity, please contact Sebastian Deterding for more information.
We are looking for at least one excellent student candidate to work on this project with the following skills.
- [Essential] interest in curiosity and games
- [Essential] familiarity with systematic literature searches using major databases like Scopus or ACM digital library
How to apply
For more details on the summer school application process (including eligibility and funding) please see the overview page here.