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Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners
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TurnGPT : a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog
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TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog ...
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KTH Tangrams: A Dataset for Research on Alignment and Conceptual Pacts in Task-Oriented Dialogue
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Fundamental frequency accommodation in multi-party human-robot game interactions : The effect of winning or losing
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Skantze, Gabriel; Ibrahim, Omnia; Dellwo, Volker. - : KTH, Tal, musik och hörsel, TMH, 2019. : URPP Language and Space, University of Zurich, Switzerland, 2019. : Department of comparative linguistics, University of Zurich, Switzerland, 2019. : Department of computational linguistics, University of Zurich, Switzerland, 2019
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Multimodal Continuous Turn-Taking Prediction Using Multiscale RNNs ...
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A Multimodal Corpus for Mutual Gaze and Joint Attention in Multiparty Situated Interaction
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Kontogiorgos, Dimosthenis; Avramova, Vanya; Alexanderson, Simon. - : KTH, Tal, musik och hörsel, TMH, 2018. : KTH, 2018. : Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland, 2018. : Paris, 2018
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Towards a General, Continuous Model of Turn-taking in Spoken Dialogue using LSTM Recurrent Neural Networks
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Skantze, Gabriel. - : KTH, Tal-kommunikation, 2017. : Saarbrucken, Germany, 2017
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A First Visit to the Robot Language Café
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Abstract:
We present an exploratory study on using a social robot in a conversational setting to practice a second language. The prac- tice is carried out within a so called language cafe ́, with two second language learners and one native moderator; a human or a robot; engaging in social small talk. We compare the in- teractions with the human and robot moderators and perform a qualitative analysis of the potentials of a social robot as a con- versational partner for language learning. Interactions with the robot are carried out in a wizard-of-Oz setting, in which the native moderator who leads the corresponding human moder- ator session controls the robot. The observations of the video recorded sessions and the subject questionnaires suggest that the appropriate learner level for the practice is elementary (A1 to A21), for whom the structured, slightly repetitive interaction pattern was perceived as beneficial. We identify both some key features that are appreciated by the learners and technological parts that need further development. ; QC 20180111
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Keyword:
Language Technology (Computational Linguistics); Robot-assisted language learning; Språkteknologi (språkvetenskaplig databehandling)
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URL: https://doi.org/10.21437/SLaTE.2017-2 http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-218769
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Tutoring Robots
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In: IFIP Advances in Information and Communication Technology ; 9th International Summer Workshop on Multimodal Interfaces (eNTERFACE) ; https://hal.inria.fr/hal-01350740 ; 9th International Summer Workshop on Multimodal Interfaces (eNTERFACE), Jul 2013, Lisbon, Portugal. pp.80-113, ⟨10.1007/978-3-642-55143-7_4⟩ (2013)
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Error Handling in Spoken Dialogue Systems : Managing Uncertainty, Grounding and Miscommunication
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Skantze, Gabriel. - : KTH, Tal, musik och hörsel, TMH, 2007. : Stockholm : KTH, 2007
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