Audience Design in Multiparty Conversation

How do speakers design what they say in order to communicate effectively with groups of addressees who vary in their background knowledge of the topic at hand? Prior findings indicate that when a speaker addresses a pair of listeners with discrepant knowledge, that speakers Aim Low, designing their utterances for the least knowledgeable of the two addressees. Here, we test the hypothesis that speakers will depart from an Aim Low approach in order to efficiently communicate with larger groups of interacting partners. Further, we ask whether the cognitive demands of tracking multiple conversational partners' perspectives places limitations on successful audience design. We find that speakers can successfully track information about what up to four of their partners do and do not know in conversation. When addressing groups of 3–4 addressees at once, speakers design language based on the combined knowledge of the group. These findings point to an audience design process that simultaneously represents the perspectives of multiple other individuals and combines these representations in order to design utterances that strike a balance between the different needs of the individuals within the group.     

Personality variable differences between disease clusters

Previous studies of personality and health have focused mainly on the influence of psychological factors on single diseases such as cancer and coronary heart disease (CHD), thereby neglecting the problem of comorbidity (i.e. the combination of different diseases). The main focus of the present study was the discrimination between single‐ and multiple‐disease conditions on the basis of personality traits. An extensive battery of personality scales implicated in health was administered to a sample of n=5133 individuals of both genders between the ages of 40 and 65. Subjects also reported their health or illness status. A factor analysis of the personality scales yielded five dimensions clearly interpretable as “Emotional Lability”, “Type A Behaviour”, “Behavioural Control”, “Locus of Control over Diseases”, and “Psychoticism”. Hierarchical cluster analyses of the subsample of participants who reported suffering from more than one disease led to eight clusters representing individuals with different combinations of diseases. Generally, there were very few significant differences between healthy and single‐disease participants with regard to personality. However, mean factor scores calculated for “Emotional Lability” were higher across the multiple‐disease groups than in the healthy and single‐disease groups. No other personality factor showed this trend. In general the results reported here show the important role negative affectivity (e.g. Emotional Lability, Neuroticism, Depression) plays in differentiating between single and multiple diseases. Copyright © 2003 John Wiley & Sons, Ltd.     

Filling a gap in the semantic gradient: Color associates and response set effects in the Stroop task

In the Stroop task, incongruent color associates (e.g., LAKE) interfere more with color identification than neutral words do (e.g., SEAT). However, color associates have historically been related to colors in the response set. Response set membership is an important factor in Stroop interference, because color words in the response set interfere more than color words not in the response set. It has not been established whether response set membership plays a role in the ability of a colorassociate to interfere with color identification. This issue was addressed in two experiments (one using vocal responses and one using manual responses) by comparing the magnitude of interference caused by color associates related to colors in the response set with that of interference caused by color associates unrelated to colors in the response set. The results of both experiments show that color associates unrelated to colors in the response set interfered with color identification more than neutral words did. However, the amount of interference was less than that from color associates that were related to colors in the response set. In addition, this pattern was consistent across response modalities. These results are discussed with respect to various theoretical accounts of Stroop interference.     

Social anxiety and problematic alcohol consumption: the mediating role of drinking motives and situations

Social anxiety is inconsistently associated with alcohol use variables. To elucidate factors that contribute to the relationship between social anxiety and problematic alcohol use, the present study investigated drinking motives and drinking situations in an undergraduate sample (N = 293). Social anxiety was significantly correlated with endorsement of enhancement drinking motives (i.e., drinking to enhance positive experiences or emotions) but not social or coping motives. Social anxiety was also correlated with endorsement of drinking in the following high-risk situations: unpleasant emotions, conflict with others, social pressure, and testing personal control. Importantly, enhancement motives and each of these drinking situations mediated the relationship between social anxiety and alcohol-related problems. Findings suggest that alcohol use to enhance positive affect or in response to these specific situations may account for the risk for alcohol-related problems among those with social anxiety.     

Sudden gains and outcome: a broader temporal analysis of cognitive therapy for depression

Individual Beck Depression Inventory (BDI) time courses of 38 clients receiving cognitive therapy (CT) and a modified form of CT were studied in order to investigate temporal changes during CT for depression. The primary aim was to determine if alternative methods of defining and computing gains occurring early in CT would alter the conclusions drawn in the current literature. Three types of gains were studied: sudden gains (previously studied sudden, substantial, and stable improvements in depression during 1 between-session interval after Session 2), first-session gains (occurring after first sessions), and pretreatment gains (occurring after pretreatment assessments). Positive outcomes were predicted by first-session gains and by sudden gains occurring in the first half of treatment, highlighting the importance of early change in CT for depression.