Do not prime hawks with doves : the impact of dispositions and situation-specific features on the emergence of cooperative behavior in mixed-motive situations.

In four experiments, we examined the impact of the nature and consistency of people's social value orientations on the emergence of cooperative behavior in conditions of neutral, morality or might priming. In line with Van Lange (2000), we expected social value orientations to have a greater impact in ambiguous (neutral priming) than in unambiguous (morality and might priming) situations. We also expected the later moderation to be higher among participants low in consistency (see also Hertel and Fiedler, 1998). Overall, participants' behavior shifted in prime-consistent ways. However, cooperation was reduced among high consistent pro-selfs primed with morality concepts. Experiments 2-4 replicate and generalize these findings, and reveal that high consistent pro-selfs exploited partners believed to be cooperative as a result of morality priming. Implications of these results are discussed in the wider context of interdependence theory, and in the context of automatic behavior effects.

About prisoners and dictators: the role of other-self focus, social value orientation, and sterotype primes in shaping cooperative behavior.

Six experiments examined the effects of person factors (i.e., social value orientation and consistency) and situation factors (i.e., stereotype primes) on cooperative behavior in various experimental games. Results indicated that the main and joint influences of person and situation factors on cooperative choices depend on the nature of the game (i.e., prisoner's dilemma or dictator game). Social value orientation, consistency, and primes affect cooperative behavior only in a dictator game, while these factors also lead to rumination about partner's behavioral intentions and personality (and therefore to different cooperative choices) in a prisoner's dilemma game. Differences between these games were explained in terms of the impact they have on other- and self-focus.Choice; Consistency; Dictator game; Effects; Factors; Prisoner's dilemma game; Social Value Orientation; Stereotype Priming; Value;

Presentation et applications des mesures implicites de restitution memorielle en marketing.

Une mesure implicite est une mesure utilisant un protocole de recueil de données non centré directement sur l'objet d'investigation. Les mesures implicites présentées dans ce papier concernent soit la restitution mémorielle d'un concept unique (i.e. la mémoire implicite) soit la restitution mémorielle d'associations (par exemple le Test d'Associations Implicites). Six domaines d'applications de ces mesures en marketing sont détaillés. Pour chaque domaine, les apports de ces mesures sont clairement identifiés. La validité de ces mesures est également abordée. La conclusion synthétise les différentes raisons d'utilisation des mesures implicites en marketing. Ces raisons concernent, d'une part, la réduction des erreurs de mesures et, d'autre part, l'étude de la cognition implicite (i.e. inconsciente).

Optimizing hardware function evaluation

Published versio

Designing an efficient hybrid optical cavity

We present an efficient terahertz (THz) detector based on an optically thin hybrid cavity. We use experimental and numerical methods to design efficient detectors, finding a hybrid cavity structure with a photoconductive (PC) layer as thin as 50 nm which absorbs almost 80% of light at the operation wavelength. These optically thin detectors are well suited to near-field microscopy and terahertz component integration

Nano-FTIR Spectroscopy of Intersubband Polaritons in Single Nanoantenna

We demonstrate observation of infrared (IR) intersubband (ISB) polaritons in an isolated subwavelength size nanoantenna using near-field Fourier-transform infrared (FTIR) spectroscopy of the evanescent fields on the nanoantenna surface. The near-field approach enables detection of the distinctive polariton splitting of the nanoantenna resonance in the amplitude and phase spectra, as well as mapping of the ISB polariton dispersion. The nano-FTIR spectroscopy approach opens doors for investigations of light-matter interaction in the single subwavelength nanoantenna regime

Dataflow Design for Optimal Incremental SVM Training

This paper proposes a new parallel architecture for incremental training of a Support Vector Machine (SVM), which produces an optimal solution based on manipulating the Karush-Kuhn-Tucker (KKT) conditions. Compared to batch training methods, our approach avoids re-training from scratch when training dataset changes. The proposed architecture is the first to adopt an efficient dataflow organisation. The main novelty is a parametric description of the parallel dataflow architecture, which deploys customisable arithmetic units for dense linear algebraic operations involved in updating the KKT conditions. The proposed architecture targets on-line SVM training applications. Experimental evaluation with real world financial data shows that our architecture implemented on Stratix-V FPGA achieved significant speedup against LIBSVM on Core i7-4770 CPU