Smiling virtual agent in social context

A smile may communicate different communicative intentions depending on subtle characteristics of the facial expression. In this article, we propose an algorithm to determine the morphological and dynamic characteristics of virtual agent's smiles of amusement, politeness, and embarrassment. The algorithm has been defined based on a virtual agent's smiles corpus constructed by users and analyzed with a decision tree classification technique. An evaluation, in different contexts, of the resulting smiles has enabled us to validate the proposed algorithm.     

Interrupting recognition memory: Tests of a criterion-change account of the revelation effect

The revelation effect is evidenced by an increase in positive recognition responses when the test probe is immediately preceded by an unrelated problem-solving task. As an alternative to familiarity-based explanations of this effect (Hicks & Marsh, 1998; Westerman & Greene, 1998), Niewiadomski and Hockley (2001) proposed a decision-based account in which it is assumed that the problem-solving task displaces the study list context in working memory, leading subjects to adopt a more liberal recognition criterion. In the present study, we show that the revelation effect is seen when the stimulus materials are pure lists of very rare words or nonwords. In contrast, for mixed lists of common words and very rare words or nonwords, the revelation effect is found for common words but disappears for very rare words and nonwords. We argue that, in mixed lists, the liberal decision bias following the revelation task and the criterion changes between common words and very rare words and nonwords serve to offset each other.     

Smiling virtual agent in social context

A smile may communicate different communicative intentions depending on subtle characteristics of the facial expression. In this article, we propose an algorithm to determine the morphological and dynamic characteristics of virtual agent’s smiles of amusement, politeness, and embarrassment. The algorithm has been defined based on a virtual agent’s smiles corpus constructed by users and analyzed with a decision tree classification technique. An evaluation, in different contexts, of the resulting smiles has enabled us to validate the proposed algorithm.     

Strength-based mirror effects in item and associative recognition: Evidence for within-list criterion changes

Strength-based mirror effects occur when the hit rate is higher and the false alarm rate is lower following strongly encoded study lists than when following more weakly encoded study lists. In Experiments 1A and 1B, strength-based mirror effects were observed in separate tests of single item and associative recognition for random word pairs. In Experiment 2, strength-based mirror effects were again seen when item and associative recognition were tested together. Finally, in Experiments 3 and 4, opposing strength-based mirror effects were observed for item and associative recognition when individual words and word pairs were presented at different rates in the same study lists. Strength-based mirror effects could result from participants' adopting a more conservative decision criterion following strong lists than following weak ones. If this is the case for both item and associative recognition, the present results demonstrate that subjects can adopt different response criteria for different recognition tasks and can alternate between them on a trial-by-trial basis.     

Interrupting recognition memory: Tests of familiarity-based accounts of the revelation effect

The revelation effect is a puzzling phenomenon in which items on a recognition test are more likely to be judged as "old" when they are immediately preceded by a problem-solving task, such as anagram solution. The present experiments were designed to evaluate Westerman and Greene's (1998) and Hicks and Marsh's (1998) familiarity-based accounts of this effect. We found comparable revelation effects when probes were preceded by an anagram or a numerical addition task and when subjects performed either one or two of these tasks. Taken together, the results do not support familiarity-based accounts of the revelation effect but are consistent with a proposed decision-based interpretation (i.e., criterion flux), in which it is assumed that the revelation task displaces the study list context in working memory, leading subjects to adopt a more liberal recognition decision criterion, thereby increasing the hit and false alarm rates.     

Religion and Suicide in Patients with Mental Illness or Cancer

In Switzerland, the highest rates of suicide are observed in persons without religious affiliation and the lowest in Catholics, with Protestants in an intermediate position. We examined whether this association was modified by concomitant psychiatric diagnoses or malignancies, based on 6,909 suicides (ICD‐10 codes X60‐X84) recorded in 3.69 million adult residents 2001–2008. Suicides were related to mental illness or cancer if codes F or C, respectively, were mentioned on the death certificate. The protective effect of religion was substantially stronger if a diagnosis of cancer was mentioned on the death certificate and weaker if a mental illness was mentioned.