The Experts below are selected from a list of 51507 Experts worldwide ranked by ideXlab platform
Wolfgang Tschacher - One of the best experts on this subject based on the ideXlab platform.
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psychophysiological synchrony during Verbal Interaction in romantic relationships
Family Process, 2019Co-Authors: Joana Coutinho, Patricia Oliveirasilva, Eugenia Fernandes, Oscar F Goncalves, Diogo Correia, Kristin Perrone Mcgovern, Wolfgang TschacherAbstract:Previous studies about romantic relationships have shown that the reciprocal influence between partners occurs not only at the behavioral and socio-emotional levels, but also at the psychophysiological level. This reciprocal influence is expressed in a pattern of physiological synchrony between partners (i.e., coordinated dynamics of the physiological time series). The main aim of the present study was to explore the presence of a pattern of physiological synchrony in electrodermal activity (EDA) during a couple Interaction task. A second objective was to compare the synchrony levels during a negative Interaction condition versus a positive Interaction condition. Finally, we analyzed the association between synchrony and self-perception of empathy, dyadic empathy, and relationship satisfaction. Thirty-two couples (64 individuals) participated in this study. Each couple performed a structured Interaction task while the EDA of both partners was being registered. The quantification of synchrony was based on the cross-correlation of both members' EDA time-series. In order to control for coincidental synchrony, surrogate datasets were created by repeatedly shuffling the original data of spouses X and Y of a dyad and computing synchronies on the basis of the shuffled data (pseudosynchrony values). Our results confirmed the presence of significant EDA synchrony during the Interaction. We also found that synchrony was higher during the negative Interactions relative to the positive Interactions. Additionally, physiological synchrony during positive Interaction was higher for those couples in which males scored higher in dyadic empathy. The clinical implications of these findings are discussed.
Jerome A Feldman - One of the best experts on this subject based on the ideXlab platform.
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exploiting deep semantics and compositionality of natural language for human robot Interaction
Intelligent Robots and Systems, 2016Co-Authors: Manfred Eppe, Sean Trott, Jerome A FeldmanAbstract:We are developing a natural language interface for human robot Interaction that implements reasoning about deep semantics in natural language. To realize the required deep analysis, we employ methods from cognitive linguistics, namely the modular and compositional framework of Embodied Construction Grammar (ECG) [18]. Using ECG, robots are able to solve fine-grained reference resolution problems and other issues related to deep semantics and compositionality of natural language. This also includes Verbal Interaction with humans to clarify commands and queries that are too ambiguous to be executed safely. We implement our NLU framework as a ROS package and present proof-of-concept scenarios with different robots, as well as a survey on the state of the art in knowledge-based language HRI.
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exploiting deep semantics and compositionality of natural language for human robot Interaction
arXiv: Artificial Intelligence, 2016Co-Authors: Manfred Eppe, Sean Trott, Jerome A FeldmanAbstract:We develop a natural language interface for human robot Interaction that implements reasoning about deep semantics in natural language. To realize the required deep analysis, we employ methods from cognitive linguistics, namely the modular and compositional framework of Embodied Construction Grammar (ECG) [Feldman, 2009]. Using ECG, robots are able to solve fine-grained reference resolution problems and other issues related to deep semantics and compositionality of natural language. This also includes Verbal Interaction with humans to clarify commands and queries that are too ambiguous to be executed safely. We implement our NLU framework as a ROS package and present proof-of-concept scenarios with different robots, as well as a survey on the state of the art.
Joana Coutinho - One of the best experts on this subject based on the ideXlab platform.
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psychophysiological synchrony during Verbal Interaction in romantic relationships
Family Process, 2019Co-Authors: Joana Coutinho, Patricia Oliveirasilva, Eugenia Fernandes, Oscar F Goncalves, Diogo Correia, Kristin Perrone Mcgovern, Wolfgang TschacherAbstract:Previous studies about romantic relationships have shown that the reciprocal influence between partners occurs not only at the behavioral and socio-emotional levels, but also at the psychophysiological level. This reciprocal influence is expressed in a pattern of physiological synchrony between partners (i.e., coordinated dynamics of the physiological time series). The main aim of the present study was to explore the presence of a pattern of physiological synchrony in electrodermal activity (EDA) during a couple Interaction task. A second objective was to compare the synchrony levels during a negative Interaction condition versus a positive Interaction condition. Finally, we analyzed the association between synchrony and self-perception of empathy, dyadic empathy, and relationship satisfaction. Thirty-two couples (64 individuals) participated in this study. Each couple performed a structured Interaction task while the EDA of both partners was being registered. The quantification of synchrony was based on the cross-correlation of both members' EDA time-series. In order to control for coincidental synchrony, surrogate datasets were created by repeatedly shuffling the original data of spouses X and Y of a dyad and computing synchronies on the basis of the shuffled data (pseudosynchrony values). Our results confirmed the presence of significant EDA synchrony during the Interaction. We also found that synchrony was higher during the negative Interactions relative to the positive Interactions. Additionally, physiological synchrony during positive Interaction was higher for those couples in which males scored higher in dyadic empathy. The clinical implications of these findings are discussed.
Yoshinori Kobayashi - One of the best experts on this subject based on the ideXlab platform.
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object recognition for service robots through Verbal Interaction based on ontology
International Symposium on Visual Computing, 2013Co-Authors: Hisato Fukuda, Yoshinori Kuno, Yoshinori Kobayashi, Satoshi Mori, Daisuke KachiAbstract:We are developing a helper robot able to fetch objects requested by users. This robot tries to recognize objects through Verbal Interaction with the user concerning objects that it cannot detect autonomously. Since the robot recognizes objects based on Verbal Interaction with the user, such a robot must by necessity understand human descriptions of said objects. However, humans describe objects in various ways: they may describe attributes of whole objects, those of parts, or those viewable from a certain direction. Moreover, they may use the same descriptions to describe a range of different objects. In this paper, we propose an ontological framework for interactive object recognition to deal with such varied human descriptions. In particular, we consider human descriptions about object attributes, and develop an interactive object recognition system based on this ontology.
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Object recognition in service robots: Conducting Verbal Interaction on color and spatial relationship
2009 IEEE 12th International Conference on Computer Vision Workshops ICCV Workshops 2009, 2009Co-Authors: Yoshinori Kuno, Katsutoshi Sakata, Yoshinori KobayashiAbstract:Service robots need to be able to recognize objects located in complex environments. Although there has been recent progress in this area, it remains difficult for autonomous vision systems to recognize objects in natural conditions. In this paper, we propose an interactive object recognition system. In this system, the robot asks the user to Verbally provide information about an object that it cannot detect. In particular, it asks the user questions regarding color and spatial relationship between objects depending on the situation. Experimental results confirm the usefulness and efficiency of our Interaction system.
Manfred Eppe - One of the best experts on this subject based on the ideXlab platform.
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exploiting deep semantics and compositionality of natural language for human robot Interaction
Intelligent Robots and Systems, 2016Co-Authors: Manfred Eppe, Sean Trott, Jerome A FeldmanAbstract:We are developing a natural language interface for human robot Interaction that implements reasoning about deep semantics in natural language. To realize the required deep analysis, we employ methods from cognitive linguistics, namely the modular and compositional framework of Embodied Construction Grammar (ECG) [18]. Using ECG, robots are able to solve fine-grained reference resolution problems and other issues related to deep semantics and compositionality of natural language. This also includes Verbal Interaction with humans to clarify commands and queries that are too ambiguous to be executed safely. We implement our NLU framework as a ROS package and present proof-of-concept scenarios with different robots, as well as a survey on the state of the art in knowledge-based language HRI.
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exploiting deep semantics and compositionality of natural language for human robot Interaction
arXiv: Artificial Intelligence, 2016Co-Authors: Manfred Eppe, Sean Trott, Jerome A FeldmanAbstract:We develop a natural language interface for human robot Interaction that implements reasoning about deep semantics in natural language. To realize the required deep analysis, we employ methods from cognitive linguistics, namely the modular and compositional framework of Embodied Construction Grammar (ECG) [Feldman, 2009]. Using ECG, robots are able to solve fine-grained reference resolution problems and other issues related to deep semantics and compositionality of natural language. This also includes Verbal Interaction with humans to clarify commands and queries that are too ambiguous to be executed safely. We implement our NLU framework as a ROS package and present proof-of-concept scenarios with different robots, as well as a survey on the state of the art.
