BibSLEIGH — Wookhee

Collaborated with:

B.W.Mott J.C.Lester J.P.Rowe Eric N. Wiebe K.E.Boyer E.Ha Robert G. Taylor P.Wang Kyungjin Park Alok Baikadi Barry Liu Joseph B. Wiggins Mayank Kulkarni

Talks about:

game (5) recognit (3) player (3) open (3) goal (3) generat (2) digit (2) educ (2) deep (2) base (2)

Person: Wookhee Min

2014

2016

2017

2018

2019

AIIDE-2014-MinHRML #game studies #recognition: Deep Learning-Based Goal Recognition in Open-Ended Digital Games (WM, EH, JPR, BWM, JCL).
FDG-2014-MottRMTL #game studies #named #open source #tool support #user interface: FLARE: An open source toolkit for creating expressive user interfaces for serious games (BWM, JPR, WM, RGT, JCL).
AIIDE-2016-MinBMRLHL #evaluation #framework #multi #recognition: A Generalized Multidimensional Evaluation Framework for Player Goal Recognition (WM, AB, BWM, JPR, BL, EH, JCL), pp. 197–203.
AIIDE-2017-MinMRTWBL #game studies #multimodal #recognition: Multimodal Goal Recognition in Open-World Digital Games (WM, BWM, JPR, RGT, ENW, KEB, JCL), pp. 80–86.
AIIDE-2017-WangRMML #behaviour #data-driven #interactive #personalisation #simulation: Simulating Player Behavior for Data-Driven Interactive Narrative Personalization (PW, JPR, WM, BWM, JCL), pp. 255–261.
AIIDE-2018-WigginsKMMBWL #education #game studies #predict: Affect-Based Early Prediction of Player Mental Demand and Engagement for Educational Games (JBW, MK, WM, BWM, KEB, ENW, JCL), pp. 243–249.
CoG-2019-ParkMMBWL #education #game studies #generative #multi #network: Generating Educational Game Levels with Multistep Deep Convolutional Generative Adversarial Networks (KP, BWM, WM, KEB, ENW, JCL), pp. 1–8.