485 resultados para Dialog o smerti.
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hrsg. von [Josef] Aub
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von A. Schlatter
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Die Wissenschaft schreitet voran. Mit der Kartographierung der kosmischen Hintergrundstrahlung wurden Signale aus der ganz frühen Zeit des Universums sichtbar gemacht. Die Entdeckung des Higgs-Bosons im Jahr 2012 hat unsere Kenntnis der Elementarteilchen vervollständigt. Schon Anfang des neuen Jahrtausends ist die Sequenzierung des menschlichen Genoms gelungen; erste Versuche, künstliches Leben zu schaffen, folgten. Gewachsen ist auch die Fähigkeit, Gedanken allein aus der Beobachtung neuronaler Aktivitäten abzulesen. Viele Fragen aber bleiben trotz des wachsenden Wissens unbeantwortet. Schauen wir nur auf uns selbst: Was ist der Sinn meines Lebens? Gibt es überhaupt so etwas wie bleibende Bedeutung? Oder verlieren wir uns im endlosen Universum? Wodurch haben wir Menschen in der Evolution die eindrückliche Fähigkeit erworben, die Welt so weitreichend entdecken zu können? Zu solchen Fragen nach den eigenen Ursprüngen und nach unserem Standort in der Wirklichkeit möchte das Buch ermuntern und nimmt dabei die Gottesfrage mit in den Blick. Dem Leser werden fundierte Einführungen in essentielle Fragestellungen des Dialogs zwischen Theologie und Naturwissenschaften geboten.
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Die Reihe itw : im dialog – Forschungen zum Gegenwartstheater widmet sich den Ästhetiken, Themen und Tendenzen gegenwärtigen Theaterschaffens und will Impulse zu seiner Erforschung geben. Ausgehend von der besonderen Position des Gegenwartstheaters als Ort der unmittelbaren Konfrontation mit gesellschaftlichen und politischen Fragen, wird dieses zum Gegenstand wissenschaftlicher Problematisierung und Reflexion. Die neugegründete Reihe gibt den teils von Inszenierungsanalysen ausgehenden theatertheoretischen sowie theaterhistorischen Reflexionen und den Gesprächen mit Künstlerinnen und Künstlern ein erweitertes wissenschaftliches Forum. Die Bände der Reihe werden zeitnah zu den »itw : im dialog«-Veranstaltungen produziert. So können die aus dem internationalen Austausch mit den Theaterforschenden und Theaterschaffenden gewonnenen Erkenntnisse und Anregungen umgehend in den akademischen Diskurs zum Gegenwartstheater einfließen.
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Ephraim Moses Kuh
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von Charles Otto Querpfeiffer
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von Diderot. Aus dem Ms. übers. und mit Anm. begleitet von Goethe
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In this paper, we describe a complete development platform that features different innovative acceleration strategies, not included in any other current platform, that simplify and speed up the definition of the different elements required to design a spoken dialog service. The proposed accelerations are mainly based on using the information from the backend database schema and contents, as well as cumulative information produced throughout the different steps in the design. Thanks to these accelerations, the interaction between the designer and the platform is improved, and in most cases the design is reduced to simple confirmations of the “proposals” that the platform dynamically provides at each step. In addition, the platform provides several other accelerations such as configurable templates that can be used to define the different tasks in the service or the dialogs to obtain or show information to the user, automatic proposals for the best way to request slot contents from the user (i.e. using mixed-initiative forms or directed forms), an assistant that offers the set of more probable actions required to complete the definition of the different tasks in the application, or another assistant for solving specific modality details such as confirmations of user answers or how to present them the lists of retrieved results after querying the backend database. Additionally, the platform also allows the creation of speech grammars and prompts, database access functions, and the possibility of using mixed initiative and over-answering dialogs. In the paper we also describe in detail each assistant in the platform, emphasizing the different kind of methodologies followed to facilitate the design process at each one. Finally, we describe the results obtained in both a subjective and an objective evaluation with different designers that confirm the viability, usefulness, and functionality of the proposed accelerations. Thanks to the accelerations, the design time is reduced in more than 56% and the number of keystrokes by 84%.
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Detecting user affect automatically during real-time conversation is the main challenge towards our greater aim of infusing social intelligence into a natural-language mixed-initiative High-Fidelity (Hi-Fi) audio control spoken dialog agent. In recent years, studies on affect detection from voice have moved on to using realistic, non-acted data, which is subtler. However, it is more challenging to perceive subtler emotions and this is demonstrated in tasks such as labelling and machine prediction. This paper attempts to address part of this challenge by considering the role of user satisfaction ratings and also conversational/dialog features in discriminating contentment and frustration, two types of emotions that are known to be prevalent within spoken human-computer interaction. However, given the laboratory constraints, users might be positively biased when rating the system, indirectly making the reliability of the satisfaction data questionable. Machine learning experiments were conducted on two datasets, users and annotators, which were then compared in order to assess the reliability of these datasets. Our results indicated that standard classifiers were significantly more successful in discriminating the abovementioned emotions and their intensities (reflected by user satisfaction ratings) from annotator data than from user data. These results corroborated that: first, satisfaction data could be used directly as an alternative target variable to model affect, and that they could be predicted exclusively by dialog features. Second, these were only true when trying to predict the abovementioned emotions using annotator?s data, suggesting that user bias does exist in a laboratory-led evaluation.
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Current development platforms for designing spoken dialog services feature different kinds of strategies to help designers build, test, and deploy their applications. In general, these platforms are made up of several assistants that handle the different design stages (e.g. definition of the dialog flow, prompt and grammar definition, database connection, or to debug and test the running of the application). In spite of all the advances in this area, in general the process of designing spoken-based dialog services is a time consuming task that needs to be accelerated. In this paper we describe a complete development platform that reduces the design time by using different types of acceleration strategies based on using information from the data model structure and database contents, as well as cumulative information obtained throughout the successive steps in the design. Thanks to these accelerations, the interaction with the platform is simplified and the design is reduced, in most cases, to simple confirmations to the “proposals” that the platform automatically provides at each stage. Different kinds of proposals are available to complete the application flow such as the possibility of selecting which information slots should be requested to the user together, predefined templates for common dialogs, the most probable actions that make up each state defined in the flow, different solutions to solve specific speech-modality problems such as the presentation of the lists of retrieved results after querying the backend database. The platform also includes accelerations for creating speech grammars and prompts, and the SQL queries for accessing the database at runtime. Finally, we will describe the setup and results obtained in a simultaneous summative, subjective and objective evaluations with different designers used to test the usability of the proposed accelerations as well as their contribution to reducing the design time and interaction.