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Influencing the Learning Experience Through Affective Agent Feedback in a Real-World Treasure Hunt: (Extended Abstract).

, , , , , and . AAMAS, page 1711-1712. ACM, (2015)

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Influencing the Learning Experience Through Affective Agent Feedback in a Real-World Treasure Hunt: (Extended Abstract)., , , , , and . AAMAS, page 1711-1712. ACM, (2015)Affective Feedback for a Virtual Robot in a Real-World Treasure Hunt., , , , , and . MMRWHRI@ICMI, page 31-32. ACM, (2014)A Web-based Evaluation Framework for Spatial Instruction-Giving Systems., , and . ACL (System Demonstrations), page 49-54. The Association for Computer Linguistics, (2012)Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users., and . SIGDIAL Conference, page 124-131. The Association for Computer Linguistics, (2010)Adaptive Generation in Dialogue Systems Using Dynamic User Modeling., and . Computational Linguistics, 40 (4): 883-920 (2014)Learning Lexical Alignment Policies for Generating Referring Expressions for Spoken Dialogue Systems., and . ENLG, page 74-81. The Association for Computer Linguistics, (2009)Towards dialogue dimensions for a robotic tutor in collaborative learning scenarios., , , , , , , and . RO-MAN, page 862-867. IEEE, (2014)A Two-Tier User Simulation Model for Reinforcement Learning of Adaptive Referring Expression Generation Policies., and . SIGDIAL Conference, page 120-123. The Association for Computer Linguistics, (2009)A Treasure Hunt With An Empathic Virtual Tutor: (Demonstration)., , , , , and . AAMAS, page 1477-1478. ACM, (2016)Learning Adaptive Referring Expression Generation Policies for Spoken Dialogue Systems., and . Empirical Methods in Natural Language Generation, volume 5790 of Lecture Notes in Computer Science, page 67-84. Springer, (2010)