Jay Bradley

According to our database, Jay Bradley authored at least 11 papers between 2003 and 2015.

Collaborative distances:

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

2015

GlobalFestival: evaluating real world interaction on a spherical display.

Julie R. Williamson, Daniel Sundén, Jay Bradley

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

Multi-Player Gaming on Spherical Displays.

Julie R. Williamson, John Williamson, Daniel Sundén, Jay Bradley

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

2011

This Pervasive Day: Creative, Interactive Methods for Encouraging Public Engagement with FET Research.

Ingi Helgason, Jay Bradley, Callum Egan, Ben Paechter, Emma Hart

Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011

Interaction Strategies for an Affective Conversational Agent.

Cameron G. Smith, Nigel T. Crook, Simon Dobnik, Daniel Charlton, Johan Boye, Stephen G. Pulman, Raúl Santos de la Cámara, Markku Turunen, David Benyon, Jay Bradley, Björn Gambäck, Preben Hansen, Oli H. Mival, Nick Webb, Marc Cavazza

Presence Teleoperators Virtual Environ., 2011

2010

Reinforcement learning for qualitative group behaviours applied to non-player computer game characters.

Jay Bradley

PhD thesis, 2010

Wizard of Oz Experiments for a Companion Dialogue System: Eliciting Companionable Conversation.

Nick Webb, David Benyon, Jay Bradley, Preben Hansen, Oli H. Mival

Proceedings of the International Conference on Language Resources and Evaluation, 2010

Wizard of Oz experiments and companion dialogues.

Jay Bradley, David Benyon, Oli H. Mival, Nick Webb

Proceedings of the 2010 British Computer Society Conference on Human-Computer Interaction, 2010

2009

Wizard of Oz experiments for companions.

Jay Bradley, Oli H. Mival, David Benyon

Proceedings of the 2009 British Computer Society Conference on Human-Computer Interaction, 2009

2005

Adapting Reinforcement Learning for Computer Games: Using Group Utility Functions.

Jay Bradley, Gillian Hayes

Proceedings of the 2005 IEEE Symposium on Computational Intelligence and Games (CIG05), 2005

Group utility functions: learning equilibria between groups of agents in computer games by modifying the reinforcement signal.

Jay Bradley, Gillian Hayes

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2003

Introducing an agent of a certain persuasion.

Jay Bradley, Gillian M. Hayes

Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 2003