Quelle place pour la psychologie positive dans le champ de la psychothérapie ? Perspectives théoriques et empiriques

Ce travail vise à exposer le courant de la psychologie positive et à présenter une tentative d'articulation entre ce courant et le champ de la pratique psychothérapeutique. Nous présenterons, dans un premier temps, les fondements de la psychologie positive et les axes principaux qui la constituent. Dans cette perspective, la théorie des émotions positives de Fredrickson et la classification des vertus et des forces de caractères de Peterson et Seligman sont exposées plus en détails. Dans un second temps et à partir des travaux récents, deux facçons d'établir un pont entre psychologie positive et la psychothérapie sont discutées : (i) le développement de nouvelles stratégies thérapeutiques issues de la psychologie positive et (ii) une relecture des principaux modèles psychothérapeutiques au regard de la psychologie positive. / This article aims to present the field of positive psychology and the way it could be integrated in the area of psychotherapy. First, the historical grounding and the main contributions of positive psychology are presented. In this perspective, the Fredrickson's theory of positive emotions and the Peterson's classification of character strengths and virtues are particularly detailed. Secondly, based on recent research, two ways to link positive psychology to clinical practice emerged: (i) the development of new therapeutic strategies anchored in the positive psychology, and (ii) a critical look at different psychotherapeutic modalities based on positive psychology.

Rank estimation of trajectory matrix in motion segmentation

A novel technique for estimating the rank of the trajectory matrix in the local subspace affinity (LSA) motion segmentation framework is presented. This new rank estimation is based on the relationship between the estimated rank of the trajectory matrix and the affinity matrix built with LSA. The result is an enhanced model selection technique for trajectory matrix rank estimation by which it is possible to automate LSA, without requiring any a priori knowledge, and to improve the final segmentation

Enhanced Model Selection for motion segmentation

In this paper a novel rank estimation technique for trajectories motion segmentation within the Local Subspace Affinity (LSA) framework is presented. This technique, called Enhanced Model Selection (EMS), is based on the relationship between the estimated rank of the trajectory matrix and the affinity matrix built by LSA. The results on synthetic and real data show that without any a priori knowledge, EMS automatically provides an accurate and robust rank estimation, improving the accuracy of the final motion segmentation

The Effect Of Induced Intraocular Straylight (cataract Simulation) On Sensitivity Measures Of Standard Automated Perimetry, Pulsar Perimetry And Moorfields Motion Displacement Test

Purpose: To investigate the effect of incremental increases in intraocular straylight on threshold measurements made by three modern forms of perimetry: Standard Automated Perimetry (SAP) using Octopus (Dynamic, G-Pattern), Pulsar Perimetry (PP) (TOP, 66 points) and the Moorfields Motion Displacement Test (MDT) (WEBS, 32 points).Methods: Four healthy young observers were recruited (mean age 26yrs [25yrs, 28yrs]), refractive correction [+2 D, -4.25D]). Five white opacity filters (WOF), each scattering light by different amounts were used to create incremental increases in intraocular straylight (IS). Resultant IS values were measured with each WOF and at baseline (no WOF) for each subject using a C-Quant Straylight Meter (Oculus, Wetzlar, Germany). A 25 yr old has an IS value of ~0.85 log(s). An increase of 40% in IS to 1.2log(s) corresponds to the physiological value of a 70yr old. Each WOFs created an increase in IS between 10-150% from baseline, ranging from effects similar to normal aging to those found with considerable cataract. Each subject underwent 6 test sessions over a 2-week period; each session consisted of the 3 perimetric tests using one of the five WOFs and baseline (both instrument and filter were randomised).Results: The reduction in sensitivity from baseline was calculated. A two-way ANOVA on mean change in threshold (where subjects were treated as rows in the block and each increment in fog filters was treated as column) was used to examine the effect of incremental increases in straylight. Both SAP (p<0.001) and Pulsar (p<0.001) were significantly affected by increases in straylight. The MDT (p=0.35) remained comparatively robust to increases in straylight.Conclusions: The Moorfields MDT measurement of threshold is robust to effects of additional straylight as compared to SAP and PP.

La place de l'émotion dans la clinique psychiatrique : présentation orale

Biologie et médecine - Les podcasts de l'UNIL