Neural infrastructure for incremental interpretation: Interfacing sound, meaning and constraint

This study was intended to examine the influence of service worker’s empathy(emotional contagion, empathic concern) on their burnout and engagement. We hypothesized empathy as interactive emotional trait would have incremental interpretation over emotional intelligence and PANAS as individual emotional trait. The participants were 226 employees of a call center. The primary implications were followings. First, empathy significantly influenced on burnout and engagement even after control of emotional intelligence and emotional labors(surface acting, deep acting). Second, there is no moderating effect of emotional contagion on the relation between surface acting and burnout that high surface acting influenced high burnout regardless of the emotional contagion level. Third, deep acting mediated between empathic concern and engagement. Forth, empathic concern reduced the influence of emotional contagion on burnout. Finally, the implications and limitations were discussed.

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Incremental interpretation and prediction of utterance meaning for interactive dialogue

Dialogue & Discourse ◽

10.5087/dad.2011.107 ◽

2011 ◽

Vol 2 (1) ◽

pp. 143-170 ◽

Cited By ~ 17

Author(s):

David DeVault ◽

Kenji Sagae ◽

David Traum

Keyword(s):

High Precision ◽

High Accuracy ◽

Dialogue Systems ◽

Prototype Implementation ◽

Incremental Interpretation

We present techniques for the incremental interpretation and prediction of utterance meaning in dialogue systems. These techniques open possibilities for systems to initiate responsive overlap behaviors during user speech, such as interrupting, acknowledging, or completing a user's utterance while it is still in progress. In an implemented system, we show that relatively high accuracy can be achieved in understanding of spontaneous utterances before utterances are completed. Further, we present a method for determining when a system has reached a point of maximal understanding of an ongoing user utterance, and show that this determination can be made with high precision. Finally, we discuss a prototype implementation that shows how systems can use these abilities to strategically initiate system completions of user utterances. More broadly, this framework facilitates the implementation of a range of overlap behaviors that are common in human dialogue, but have been largely absent in dialogue systems.

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A MODEL MAINTENANCE APPROACH TO INCREMENTAL INTERPRETATION OF SPATIAL DESCRIPTIONS

Journal of Architecture and Planning (Transactions of AIJ) ◽

10.3130/aija.65.277_2 ◽

2000 ◽

Vol 65 (531) ◽

pp. 277-283

Author(s):

Haruyuki FUJII

Keyword(s):

Incremental Interpretation

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INCREMENTAL REFINEMENT OF FAÇADE MODELS WITH ATTRIBUTE GRAMMAR FROM 3D POINT CLOUDS

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsannals-iii-3-311-2016 ◽

2016 ◽

Vol III-3 ◽

pp. 311-316 ◽

Cited By ~ 1

Author(s):

Y. Dehbi ◽

C. Staat ◽

L. Mandtler ◽

L. Pl¨umer

Keyword(s):

A Priori ◽

Point Clouds ◽

3D Point Clouds ◽

Architectural Patterns ◽

Grammar Rules ◽

Probability Densities ◽

Parse Trees ◽

Incremental Interpretation ◽

Context Free ◽

Building Reconstruction

Data acquisition using unmanned aerial vehicles (UAVs) has gotten more and more attention over the last years. Especially in the field of building reconstruction the incremental interpretation of such data is a demanding task. In this context formal grammars play an important role for the top-down identification and reconstruction of building objects. Up to now, the available approaches expect offline data in order to parse an a-priori known grammar. For mapping on demand an on the fly reconstruction based on UAV data is required. An incremental interpretation of the data stream is inevitable. This paper presents an incremental parser of grammar rules for an automatic 3D building reconstruction. The parser enables a model refinement based on new observations with respect to a weighted attribute context-free grammar (WACFG). The falsification or rejection of hypotheses is supported as well. The parser can deal with and adapt available parse trees acquired from previous interpretations or predictions. Parse trees derived so far are updated in an iterative way using transformation rules. A diagnostic step searches for mismatches between current and new nodes. Prior knowledge on fac¸ades is incorporated. It is given by probability densities as well as architectural patterns. Since we cannot always assume normal distributions, the derivation of location and shape parameters of building objects is based on a kernel density estimation (KDE). While the level of detail is continuously improved, the geometrical, semantic and topological consistency is ensured.

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Dynamics, dependency grammar and incremental interpretation

10.3115/992424.992430 ◽

1992 ◽

Cited By ~ 3

Author(s):

David Milward

Keyword(s):

Dependency Grammar ◽

Incremental Interpretation

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Discourse

10.1093/oxfordhb/9780199276349.013.0006 ◽

2012 ◽

Author(s):

Allan Ramsay

Keyword(s):

Word Order ◽

Single Sentence ◽

Incremental Interpretation

When people use language, they produce and exchange sequences of connected sentences. This article provides an overview of the devices that can be used to organize extended discourses. It also gives a detailed description of discourse level phenomena and incremental interpretation. It explores the various devices (choices of words and word order, forms of reference, use of explicit links) that are used to indicate the structure of an extended discourse and to explain the relationships between its parts, in other words to see how a discourse is broken into segments and how such segments are organized. It deals with the issues involved in identifying and relating the notion that discourses consisting of more than a single sentence are composed of related segments are not contentious, where there is much less agreement.

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