Search for dissertations about: "Gabriel Skantze"
Showing result 1 - 5 of 6 swedish dissertations containing the words Gabriel Skantze.
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1. Error Handling in Spoken Dialogue Systems : Managing Uncertainty, Grounding and Miscommunication
Abstract : Due to the large variability in the speech signal, the speech recognition process constitutes the major source of errors in most spoken dialogue systems. A spoken dialogue system can never know for certain what the user is saying, it can only make hypotheses. READ MORE
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2. Adaptive Robot Presenters : Modelling Grounding in Multimodal Interaction
Abstract : This thesis addresses the topic of grounding in human-robot interaction, that is, the process by which the human and robot can ensure mutual understanding. To explore this topic, the scenario of a robot holding a presentation to a human audience is used, where the robot has to process multimodal feedback from the human in order to adapt the presentation to the human's level of understanding. READ MORE
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3. Predictive Modeling of Turn-Taking in Spoken Dialogue : Computational Approaches for the Analysis of Turn-Taking in Humans and Spoken Dialogue Systems
Abstract : Turn-taking in spoken dialogue represents a complex cooperative process wherein participants use verbal and non-verbal cues to coordinate who speaks and who listens, to anticipate speaker transitions, and to produce backchannels (e.g., “mhm”, “uh-huh”) at the right places. READ MORE
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4. Mutual Understanding in Situated Interactions with Conversational User Interfaces : Theory, Studies, and Computation
Abstract : This dissertation presents advances in HCI through a series of studies focusing on task-oriented interactions between humans and between humans and machines. The notion of mutual understanding is central, also known as grounding in psycholinguistics, in particular how people establish understanding in conversations and what interactional phenomena are present in that process. READ MORE
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5. Data-driven Methods for Spoken Dialogue Systems : Applications in Language Understanding, Turn-taking, Error Detection, and Knowledge Acquisition
Abstract : Spoken dialogue systems are application interfaces that enable humans to interact with computers using spoken natural language. A major challenge for these systems is dealing with the ubiquity of variability—in user behavior, in the performance of the various speech and language processing sub-components, and in the dynamics of the task domain. READ MORE