2,440,173 research outputs found

    INTERACTOR: Natural Interaction Platform

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    Interactor is an Interaction Platform based on Natural Interaction (human-like) techniques developped by the Laboratorio de Bases de Datos Avanzadas (Labda) at Universidad Carlos III de Madrid. It enables to implement with little effort a corpus-based Task Oriented Interaction Domain for bipartite dialogues. Thus it assumes an application and provides access to it through Natural Interaction.Program: Mejorando el Acceso y la Visibilidad de la Información Multilingüe en Red para la Comunidad de Madrid Acronym: MAVIR Ref: TIC-0267 Coordinator: M. Felisa Verdejo (UNED

    Genetic search feature selection for affective modeling : a case study on reported preferences

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    Automatic feature selection is a critical step towards the generation of successful computational models of affect. This paper presents a genetic search-based feature selection method which is developed as a global-search algorithm for improving the accuracy of the affective models built. The method is tested and compared against sequential forward feature selection and random search in a dataset derived from a game survey experiment which contains bimodal input features (physiological and gameplay) and expressed pairwise preferences of affect. Results suggest that the proposed method is capable of picking subsets of features that generate more accurate affective models.peer-reviewe

    Improving Natural Language Interaction with Robots Using Advice

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    Over the last few years, there has been growing interest in learning models for physically grounded language understanding tasks, such as the popular blocks world domain. These works typically view this problem as a single-step process, in which a human operator gives an instruction and an automated agent is evaluated on its ability to execute it. In this paper we take the first step towards increasing the bandwidth of this interaction, and suggest a protocol for including advice, high-level observations about the task, which can help constrain the agent's prediction. We evaluate our approach on the blocks world task, and show that even simple advice can help lead to significant performance improvements. To help reduce the effort involved in supplying the advice, we also explore model self-generated advice which can still improve results.Comment: Accepted as a short paper at NAACL 2019 (8 pages

    Characterizing a configuration interaction excited state using natural transition geminals

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    We introduce natural transition geminals as a means to qualitatively understand a transition where double excitations are important. The first two A1A_{1} singlet states of the CH cation are used as an initial example. We calculate these states with configuration interaction singles (CIS) and state-averaged Monte Carlo configuration interaction (SA-MCCI). For each method we compare the important natural transition geminals with the dominant natural transition orbitals. We then compare SA-MCCI and full configuration interaction (FCI) with regards to the natural transition geminals using the beryllium atom. We compare using the natural transition geminals with analyzing the important configurations in the CI expansion to give the dominant transition for the beryllium atom and the carbon dimer. Finally we calculate the natural transition geminals for two electronic excitations of formamide.Comment: 15 pages, 2 figures. Mol. Phys. (2013

    Vibration analysis of a circular plate in interaction with an acoustic cavity leading to extraction of structural modal parameters

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    When carrying out vibration health monitoring (VHM) of a structure it is usually assumed that the structure is in the absence of fluid interaction and that any environmental effects which can cause changes in natural frequency either remain constant or are negligible. In certain cases, this condition cannot be assumed and therefore it is necessary to extract values of natural frequencies of the structure for the condition with no fluid interaction from those values measured. This paper considers the case of a thin circular plate in contact with a fluid cavity giving rise to strong structural/fluid vibration interaction. The paper details the free vibration analysis of the coupled system and through consideration of modal energy, illustrates how the affined modes of vibration of the plate and the fluid can be qualitatively described. The paper then introduces a method by which the natural frequencies of the plate in the absence of fluid interaction can be obtained from those of the plate in interaction with the fluid

    Dimensional Affect and Expression in Natural and Mediated Interaction

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    There is a perceived controversy as to whether the cognitive representation of affect is better modelled using a dimensional or categorical theory. This paper first suggests that these views are, in fact, compatible. The paper then discusses this theme and related issues in reference to a commonly stated application domain of research on human affect and expression: human computer interaction (HCI). The novel suggestion here is that a more realistic framing of studies of human affect in expression with reference to HCI and, particularly HCHI (Human-Computer-Human Interaction) entails some re-formulation of the approach to the basic phenomena themselves. This theme is illustrated with several examples from several recent research projects.Comment: Invited article presented at the 23rd Annual Meeting of the International Society for Psychophysics, Tokyo, Japan, 20-23 October, 2007, Proceedings of Fechner Day vol. 23 (2007

    A human computer interactions framework for biometric user identification

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    Computer assisted functionalities and services have saturated our world becoming such an integral part of our daily activities that we hardly notice them. In this study we are focusing on enhancements in Human-Computer Interaction (HCI) that can be achieved by natural user recognition embedded in the employed interaction models. Natural identification among humans is mostly based on biometric characteristics representing what-we-are (face, body outlook, voice, etc.) and how-we-behave (gait, gestures, posture, etc.) Following this observation, we investigate different approaches and methods for adapting existing biometric identification methods and technologies to the needs of evolving natural human computer interfaces
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