Johan Hagelbäck

According to our database, Johan Hagelbäck authored at least 25 papers between 2005 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches.

Koraljka Golub, Johan Hagelbäck, Anders Ardö

J. Data Inf. Sci., 2020

2019

An affective serious game for collaboration between humans and robots.

Petar Jercic, Johan Hagelbäck, Craig Lindley

Entertain. Comput., 2019

The Effect of a Flipped Classroom in a SPOC: Students' Perceptions and Attitudes.

Zenun Kastrati, Arianit Kurti, Johan Hagelbäck

Proceedings of the ICETC 2019, 2019

2018

The Effect of Emotions and Social Behavior on Performance in a Collaborative Serious Game Between Humans and Autonomous Robots.

Petar Jercic, Wei Wen, Johan Hagelbäck, Veronica Sundstedt

Int. J. Soc. Robotics, 2018

Physiological Affect and Performance in a Collaborative Serious Game Between Humans and an Autonomous Robot.

Petar Jercic, Johan Hagelbäck, Craig Lindley

Proceedings of the Entertainment Computing - ICEC 2018, 2018

Evaluation of Classifiers for Emotion Detection While Performing Physical and Visual Tasks: Tower of Hanoi and IAPS.

Shahnawaz Qureshi, Johan Hagelbäck, Syed Muhammad Zeeshan Iqbal, Hamad Javaid, Craig A. Lindley

Proceedings of the Intelligent Systems and Applications, 2018

Automatic Classification Using DDC on the Swedish Union Catalogue.

Koraljka Golub, Johan Hagelbäck, Anders Ardö

Proceedings of the 18th European Networked Knowledge Organization Systems (NKOS) Workshop co-located with the 22nd International Conference on Theory and Practice of Digital Libraries 2018 (TPDL 2018), 2018

2016

Hybrid Pathfinding in StarCraft.

Johan Hagelbäck

IEEE Trans. Comput. Intell. AI Games, 2016

2014

Psychophysiological Interaction and Empathic Cognition for Human-Robot Cooperative Work (PsyIntEC).

Johan Hagelbäck, Olle Hilborn, Petar Jercic, Stefan J. Johansson, Craig A. Lindley, Johan Svensson, Wei Wen

Proceedings of the Gearing Up and Accelerating Cross-fertilization between Academic and Industrial Robotics Research in Europe:, 2014

2013

Controllable procedural map generation via multiobjective evolution.

Julian Togelius, Mike Preuss, Nicola Beume, Simon Wessing, Johan Hagelbäck, Georgios N. Yannakakis, Corrado Grappiolo

Genet. Program. Evolvable Mach., 2013

Evaluating Classifiers for Emotion Recognition Using EEG.

Ahmad Tauseef Sohaib, Shahnawaz Qureshi, Johan Hagelbäck, Olle Hilborn, Petar Jercic

Proceedings of the Foundations of Augmented Cognition, 2013

Reactive strategy choice in StarCraft by means of Fuzzy Control.

Mike Preuss, Daniel Kozakowski, Johan Hagelbäck, Heike Trautmann

Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

2012

Multi-Agent Potential Field Based Architectures for Real-Time Strategy Game Bots.

Johan Hagelbäck

PhD thesis, 2012

Potential-field based navigation in StarCraft.

Johan Hagelbäck

Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

2010

Multiobjective exploration of the StarCraft map space.

Julian Togelius, Mike Preuss, Nicola Beume, Simon Wessing, Johan Hagelbäck, Georgios N. Yannakakis

Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

AI and computational intelligence for real-time strategy games.

Johan Hagelbäck, Stefan J. Johansson, Mike Preuss

Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

A study on human like characteristics in real time strategy games.

Johan Hagelbäck, Stefan J. Johansson

Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

2009

A Multiagent Potential Field-Based Bot for Real-Time Strategy Games.

Johan Hagelbäck, Stefan J. Johansson

Int. J. Comput. Games Technol., 2009

Measuring player experience on runtime dynamic difficulty scaling in an RTS game.

Johan Hagelbäck, Stefan J. Johansson

Proceedings of the 2009 IEEE Symposium on Computational Intelligence and Games, 2009

A Multi-Agent Potential Field-based Bot for a Full RTS Game Scenario.

Johan Hagelbäck, Stefan J. Johansson

Proceedings of the Fifth Artificial Intelligence and Interactive Digital Entertainment Conference, 2009

2008

Dealing with fog of war in a Real Time Strategy game environment.

Johan Hagelbäck, Stefan J. Johansson

Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

Demonstration of multi-agent potential fields in real-time strategy games.

Johan Hagelbäck, Stefan J. Johansson

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

Using multi-agent potential fields in real-time strategy games.

Johan Hagelbäck, Stefan J. Johansson

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

The Rise of Potential Fields in Real Time Strategy Bots.

Johan Hagelbäck, Stefan J. Johansson

Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, 2008

2005

Comparing approaches to predict transmembrane domains in protein sequences.

Paul Davidsson, Johan Hagelbäck, Kenny Svensson

Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005