Search results for "NOVELTY"
showing 10 items of 135 documents
Breastfeeding and experience with a variety of vegetables increases acceptance of new flavours by infants at weaning
2006
Publication Inra prise en compte dans l'analyse bibliométrique des publications scientifiques mondiales sur les Fruits, les Légumes et la Pomme de terre. Période 2000-2012. http://prodinra.inra.fr/record/256699; International audience
Breastfeeding and experience with variety at weaning increase infants' acceptance of new foods
2006
International audience
Why buying functional foods? Understanding spending behaviour through structural equation modelling
2013
Abstract The market for functional foods has been growing steadily in recent years, as it is linked to a healthier diet and adds value to food products. However, more information regarding aspects that influence functional food (FF) spending behaviour is needed to gain a better understanding of what underlies FF choice and avoid product failure. The objective of this study was to build a structural equation model of Spaniards' FF spending behaviour, based on individual characteristics such as satisfaction with life, decision-making styles, gender, age and some attitudes towards food choice. This required prior validation of the functional food questionnaire for a Spanish context, which was …
Infants and Children Making Sense of Scents
2017
This chapter summarizes research on the development of human olfactory skills to rely on different cues conveyed by odorants, such as odor quality, intensity, position in space, novelty/familiarity, and hedonic value. The sensory, neural, and psychological dimensions at the root of these early aptitudes remain poorly explored in humans, but one can safely affirm that any weak odor to which the infant has previously been nonadversely exposed will have a higher reinforcing value than any novel odor. Developmental differences in odor discrimination and appreciation are certainly causally multiple and may depend on general or olfaction-specific cognitive factors which can be traced back to pren…
Twitter sentiment as a weak signal in venture capital financing
2021
Abstract How do venture capitalists (VCs) incorporate weak and strong signals in the valuation of technology-based startups? Based on a sociocognitive perspective of signaling theory, we introduce Twitter sentiment as a novel and weak signal, which we juxtapose with patents as a traditional, strong signal. While we find a positive association between both signals and VCs' venture valuations, our results reveal that Twitter sentiment does not correlate with actual long-term investment success, whereas patents do. Additionally, we identify and test novelty and experience characteristics (i.e., startup age and VC firm experience) as boundary conditions for our proposed signal-valuation relatio…
Interaction features for prediction of perceptual segmentation:Effects of musicianship and experimental task
2016
As music unfolds in time, structure is recognised and understood by listeners, regardless of their level of musical expertise. A number of studies have found spectral and tonal changes to quite successfully model boundaries between structural sections. However, the effects of musical expertise and experimental task on computational modelling of structure are not yet well understood. These issues need to be addressed to better understand how listeners perceive the structure of music and to improve automatic segmentation algorithms. In this study, computational prediction of segmentation by listeners was investigated for six musical stimuli via a real-time task and an annotation (non real-tim…
Visual Control of a Robotic Hand
2004
The paper deals with the design and implementation of a visual control of a robotic system composed of a dexterous hand and stereo cameras. The aim of the proposed system is to reproduce the movements of a human hand in order to learn complex manipulation tasks. A novelty algorithm for a robust and fast fingertips localization and tracking is presented. Moreover, a simulator is integrated in the system to give useful feedbacks to the users during operations, and provide robust testing framework for real experiments (see video).
Internet Disclosure by Nonprofit Organizations: Empirical Evidence of Nongovernmental Organizations for Development in Spain
2009
This article examines the relevance of technology, and particularly the Internet, for the improvement of accountability and transparency in nonprofit organizations. The novelty of our work regarding the previous empirical evidence resides in the fact that we have taken into account the means through which these organizations diffuse voluntary information. In this article, we have proposed a model of information disclosure for the Web sites of Spanish nongovernmental organizations for development (NGODs) that can serve as a guide for improving their informative transparency and their accountability. The empirical evidence obtained reveals that Spanish NGOD Web sites are primarily ornamental…
Modelling and prediction of perceptual segmentation
2017
While listening to music, we somehow make sense of a multiplicity of auditory events; for example, in popular music we are often able to recognize whether the current section is a verse or a chorus, and to identify the boundaries between these segments. This organization occurs at multiple levels, since we can discern motifs, phrases, sections and other groupings. In this work, we understand segment boundaries as instants of significant change. Several studies on music perception and cognition have strived to understand what types of changes are associated with perceptual structure. However, effects of musical training, possible differences between real-time and non real-time segmentation, and…
Serendipity in recommender systems
2018
The number of goods and services (such as accommodation or music streaming) offered by e-commerce websites does not allow users to examine all the available options in a reasonable amount of time. Recommender systems are auxiliary systems designed to help users find interesting goods or services (items) on a website when the number of available items is overwhelming. Traditionally, recommender systems have been optimized for accuracy, which indicates how often a user consumed the items recommended by system. To increase accuracy, recommender systems often suggest items that are popular and suitably similar to items these users have consumed in the past. As a result, users often lose interest…