Hi, I’m working on a project using a game-based simulation where we expect to calibrate models using both expert and/or player observed data. I was looking for some papers on similar approaches but could only find one and is not even close. Maybe not using the correct keywords or my search engine is to biased, any recommendations?
Thanks in advance and best regards.
http://dl.acm.org/citation.cfm?id=2047248
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We compared novice 'performances' (what they do) in serious games using expert performance as a baseline. Don't know if this fits what you are working on. But you can check out the papers on my page (start with papers by Loh & Sheng, 2013 & 2014).
Christian, thanks for the answer, very nice articles!, got a lot of new ideas added to my to-do list!
Clarifying a little:
What we are trying to accomplish is, roughly: use human as living sensors to collect physical data of an environment and calibrate a given model of that environment/phenomenon using owned knowledge and previous experiences.
I wanted to find similar solutions but not luck so far. Find a great article of Sam Devlin of the University of York (2014) on game intelligence where he say that there aren't many applications like that.
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6932917
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