Virtual Reality Negotiation Training Increases Negotiation Knowledge and Skill. In: Intelligent Virtual Agents. Heidelberg: Springer; 2012. Abstract
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Reinforcement Learning as Heuristic for Action-Rule Preferences. In: Collier R, Dix J, Novák P, editors. Programming Multi-Agent Systems. Vol 6599. Springer Berlin Heidelberg; 2012. p. 25-40. (Lecture Notes in Computer Science; vol 6599).
Designing interfaces for explicit preference elicitation: a user-centered investigation of preference representation and elicitation process. User Modeling and User-Adapted Interaction . 2012;online first. Download: umuai.pdf (1.05 MB)
Negotiating Agents. AI Magazine. 2012;33(3).
DUO meta-model for knowledge elicitation and bidding support in NSS. In: de Vreede G-J, editor. 11th Group Decision and Negotiation Conference. Vol 11.; 2010. p. 120-3. Download: pommeranz_visser_broekens_wiggers_hindriks_jonker_2010.pdf (221.62 KB)
DUO meta-model for knowledge elicitation and bidding support in NSS. In: 11th Group Decision and Negotiation Conference.; 2010.
Do You Get It? User-Evaluated Explainable BDI Agents. In: Dix J, Witteveen C, editors. Multiagent System Technologies. Vol 6251. Springer Berlin Heidelberg; 2010. p. 28-39. (Lecture Notes in Computer Science; vol 6251).
Factors Influencing User Motivation for giving Preference Feedback. In: 5th Multidisciplinary Workshop on Advances in Preference Handling in Conjunction with ECAI 2010.; 2010. Abstract
Design guidelines for negotiation support systems: An expert perspective using scenarios. In: Norros L, Koskinen H, Salo L, Savioja P, editors. European Conference on Cognitive Ergonomics. Julkaisija; 2009. p. 323-30. Abstract
Trust in Online Technology: Towards Practical Guidelines Based on Experimentally Verified Theory. In: Jacko J, editor. 13th International Conference, HCI International 2009 San Diego, CA, USA, July 19-24, 2009. San Diego, CA, USA: Springer Berlin / Heidelberg; 2009. Abstract