Collaborated with:M.Riedl M.O.Riedl Nicholas Liao Zijin Luo Kristin Siu Brent Harrison B.Li Alexander E. Zook Michael Cook 0001 E.Butler James Owen Ryan Ben Samuel Adam Summerville M.Mateas N.Wardrip-Fruin
Talks about:video (4) gameplay (3) game (3) extract (2) player (2) experi (2) level (2) singleplay (1) crowdsourc (1) multiplay (1)
Person: Matthew Guzdial
DBLP: Guzdial:Matthew
Contributed to:
2015
2016201720182019Wrote 8 papers:
- FDG-2015-GuzdialHLR #crowdsourcing #interactive
- Crowdsourcing Open Interactive Narrative (MG, BH, BL, MR).
- AIIDE-2016-GuzdialR #game studies #generative
- Game Level Generation from Gameplay Videos (MG, MOR), pp. 44–50.
- AIIDE-2016-ZookCBSGRRSSMW #case study #experience
- Playable Experiences at AIIDE 2016 (AEZ, MC0, EB, KS, MG, MR, JOR, BS, AS, MM, NWF), p. 251–?.
- FDG-2017-LiaoGR #modelling
- Deep convolutional player modeling on log and level data (NL, MG, MR), p. 4.
- FDG-2017-SiuGR #game studies #multi
- Evaluating singleplayer and multiplayer in human computation games (KS, MG, MOR), p. 10.
- AIIDE-2018-GuzdialR #automation #concept #design #game studies
- Automated Game Design via Conceptual Expansion (MG, MR), pp. 31–37.
- AIIDE-2018-LuoGLR #experience #video
- Player Experience Extraction from Gameplay Video (ZL, MG, NL, MR), pp. 52–58.
- FDG-2019-LuoGR #network #parsing #using #video
- Making CNNs for video parsing accessible: event extraction from DOTA2 gameplay video using transfer, zero-shot, and network pruning (ZL, MG, MR), p. 10.