Travelled to:
1 × Italy
1 × Spain
1 × USA
Collaborated with:
J.P.Rowe B.W.Mott Wookhee Min K.E.Boyer E.Ha S.W.McQuiggan Eric N. Wiebe M.A.Vouk Robert G. Taylor Sunyoung Lee Lucy R. Shores Eleni V. Lobene Robert Sawyer R.Azevedo A.A.Dwight R.T.Fondren P.Wang R.Phillips M.D.Wallis S.A.Converse S.H.Kahler S.T.Barlow B.A.Stone R.S.Bhogal Kyungjin Park Alok Baikadi Barry Liu Joseph B. Wiggins Mayank Kulkarni
Talks about:
game (7) player (6) learn (6) environ (5) narrat (5) recognit (4) interact (4) model (4) goal (4) network (3)
Person: James C. Lester
DBLP: Lester:James_C=
Facilitated 1 volumes:
Contributed to:
Wrote 18 papers:
- EDM-2010-BoyerPHWVL #markov #modelling #tutorial
- A Preliminary Investigation of Hierarchical Hidden Markov Models for Tutorial Planning (KEB, RP, EH, MDW, MAV, JCL), pp. 285–286.
- CHI-2008-McQuigganRL #learning
- The effects of empathetic virtual characters on presence in narrative-centered learning environments (SWM, JPR, JCL), pp. 1511–1520.
- ITiCSE-2008-BoyerDFVL #collaboration #development #distributed #programming
- A development environment for distributed synchronous collaborative programming (KEB, AAD, RTF, MAV, JCL), pp. 158–162.
- CHI-1997-LesterCKBSB
- The Persona Effect: Affective Impact of Animated Pedagogical Agents (JCL, SAC, SHK, STB, BAS, RSB), pp. 359–366.
- AIIDE-2006-McQuigganLL #approach #induction #interactive #predict
- Predicting User Physiological Response for Interactive Environments: An Inductive Approach (SWM, SL, JCL), pp. 60–65.
- AIIDE-2010-RoweL #interactive #modelling #network
- Modeling User Knowledge with Dynamic Bayesian Networks in Interactive Narrative Environments (JPR, JCL).
- FDG-2010-RoweSML #difference #learning #perspective
- Individual differences in gameplay and learning: a narrative-centered learning perspective (JPR, LRS, BWM, JCL), pp. 171–178.
- AIIDE-2011-HaRML #adaptation #game studies #logic #markov #network #recognition
- Goal Recognition with Markov Logic Networks for Player-Adaptive Games (EH, JPR, BWM, JCL).
- AIIDE-2014-MinHRML #game studies #recognition
- Deep Learning-Based Goal Recognition in Open-Ended Digital Games (WM, EH, JPR, BWM, JCL).
- AIIDE-2014-RoweML #approach #composition #experience #interactive #learning #optimisation
- Optimizing Player Experience in Interactive Narrative Planning: A Modular Reinforcement Learning Approach (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).
- FDG-2014-RoweLML #design #education #game studies #learning
- Play in the museum: Designing game-based learning environments for informal education settings (JPR, EVL, BWM, 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-SawyerRAL #modelling
- Modeling Player Engagement with Bayesian Hierarchical Models (RS, JPR, RA, JCL), pp. 215–221.
- 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.