The papers to be presented at HAIDM 2013 in Minnesota are listed below. As you will see, the programme looks exciting as we have a strong set of papers cutting across human modelling and human-agent interaction. Coupled with our invited talk and a panel session, HAIDM 2013 promises to be engaging for participants of all types (students, professors, and industry).
If you wish to attend HAIDM, please make sure you register for the workshop. You can register for AAMAS and the HAIDM (W13) here.
|1. On Automated Agents’ Rationality||Amos Azaria, Ariella Richardson, Avshalom Elmalech, Avi Rosenfeld, Sarit Kraus and David Sarne|
|2. A modeling framework for inter-cultural social interactions||Taranjeet Singh Bhatia, Saad Ahmad Khan and Ladislau Boloni|
|3. An Approach to Team Programming with Markup for Operator Interaction||Nathan Brooks, Ewart de Visser, Timur Chabuk, Elan Freedy and Paul Scerri|
|4. Augie: the Dialogue Augmenting Agent||Roni Stern, Ofra Amir, Barbara Grosz, Shira Fischer and Lee Sanders|
|5. The Power of Modeling Human Adversary Behaviors in Security Games||Thanh Nguyen, Rong Yang, Amos Azaria, Sarit Kraus and Milind Tambe|
|6. Autonomous Agent for Deception Detection||Amos Azaria, Ariella Richardson and Sarit Kraus|
|7. Information Sharing for Care Coordination||Ofra Amir, Barbara Grosz, Roni Stern and Lee Sanders|
|8. SimplyPut: A Crowdware System for Improving Health Literacy||Edith Law, Barbara Grosz, Lee Sanders and Shira Fischer|
|9. AgentSwitch: Towards Smart Energy Tariff Selection||Sarvapali Ramchurn, Michael Osborne, Oliver Parson, Talal Rahwan, Sasan Maleki, Steven Reece, Trung Dong Huynh, Muddasser Alam, Joel Fischer, Luc Moreau, Stephen Roberts and Tom Rodden|
|10. Exploring the challenge of learning well from a sparse training set||Jeffery Raphael and Elizabeth Sklar|
|11. Advice Provision in Multiple Prospect Selection Problems||Amos Azaria and Sarit Kraus|
|12. Player Adaptive Agents in Location-Based Mobile Games||Adib Parkar, Spencer Frazier, Chao Huang, Rajiv Maheswaran and Yu-Han Chang|