Depressive symptoms and unmitigated communion in support providers

In this research, we argue and demonstrate that the association between enacted (un)supportive behaviour and depressive symptoms is a function of the providers' levels of unmitigated communion (UC). UC is characterized by overinvolvement in others' problems, self‐neglect and externalized self‐evaluation. These characteristics appear to predispose individuals high in UC to experience depressive symptoms. As anticipated, we show that enacted supportive behaviour was negatively associated with depressive symptoms (Study 1 and 2), and enacted unsupportive behaviour was positively associated with depressive symptoms (Study 2), but only among individuals low in UC. Our findings are consistent with the idea that for high UC individuals, enacting supportive behaviour, or not enacting unsupportive behaviour, is insufficient to reduce their high levels of depressive symptoms. Copyright © 2009 John Wiley & Sons, Ltd.     

Seeing is believing: Trustworthiness as a dynamic belief

Recent efforts to understand the mechanisms underlying human cooperation have focused on the notion of trust, with research illustrating that both initial impressions and previous interactions impact the amount of trust people place in a partner. Less is known, however, about how these two types of information interact in iterated exchanges. The present study examined how implicit initial trustworthiness information interacts with experienced trustworthiness in a repeated Trust Game. Consistent with our hypotheses, these two factors reliably influence behavior both independently and synergistically, in terms of how much money players were willing to entrust to their partner and also in their post-game subjective ratings of trustworthiness. To further understand this interaction, we used Reinforcement Learning models to test several distinct processing hypotheses. These results suggest that trustworthiness is a belief about probability of reciprocation based initially on implicit judgments, and then dynamically updated based on experiences. This study provides a novel quantitative framework to conceptualize the notion of trustworthiness.     

The ability to regulate emotion is associated with greater well-being, income, and socioeconomic status

Are people who are best able to implement strategies to regulate their emotional expressive behavior happier and more successful than their counterparts? Although past research has examined individual variation in knowledge of the most effective emotion regulation strategies, little is known about how individual differences in the ability to actually implement these strategies, as assessed objectively in the laboratory, are associated with external criteria. In two studies, we examined how individual variation in the ability to modify emotional expressive behavior in response to evocative stimuli is related to well-being and financial success. Study 1 showed that individuals who can best suppress their emotional reaction to an acoustic startle are happiest with their lives. Study 2 showed that individuals who can best amplify their emotional reaction to a disgust-eliciting movie are happiest with their lives and have the highest disposable income and socioeconomic status. Thus, being able to implement emotion regulation strategies in the laboratory is closely linked to well-being and financial success.     

ScanMatch: A novel method for comparing fixation sequences

We present a novel approach to comparing saccadic eye movement sequences based on the Needleman-Wunsch algorithm used in bioinformatics to compare DNA sequences. In the proposed method, the saccade sequence is spatially and temporally binned and then recoded to create a sequence of letters that retains fixation location, time, and order information. The comparison of two letter sequences is made by maximizing the similarity score computed from a substitution matrix that provides the score for all letter pair substitutions and a penalty gap. The substitution matrix provides a meaningful link between each location coded by the individual letters. This link could be distance but could also encode any useful dimension, including perceptual or semantic space. We show, by using synthetic and behavioral data, the benefits of this method over existing methods. The ScanMatch toolbox for MATLAB is freely available online (www.scanmatch.co.uk).     

Effective responder communication,perceived responder legitimacy,and group identification predict public cooperation and compliance in a mass decontamination visualization experiment

This article describes a visualization experiment that tests hypotheses based on the social identity approach about effectiveness of communication strategies during mass decontamination. Specifically, the mediating role of social identity processes between effective responder communication and relevant outcome variables (e.g., public compliance), is examined. After visualizing that they had been involved in a hypothetical incident involving decontamination, participants (N = 129) received one of three different communication strategies: (1) health‐focused information about decontamination, sufficient practical information; (2) no health‐focused information, sufficient practical information; and (3) no health‐focused information, low practical information. The communication strategy perceived as most effective included health‐focused information and practical information; this resulted in the highest levels of expected compliance, mediated by social identity variables. Implications for management of mass decontamination are discussed.     

Safe and sensible preprocessing and baseline correction of pupil-size data

Measurement of pupil size (pupillometry) has recently gained renewed interest from psychologists, but there is little agreement on how pupil-size data is best analyzed. Here we focus on one aspect of pupillometric analyses: baseline correction, i.e., analyzing changes in pupil size relative to a baseline period. Baseline correction is useful in experiments that investigate the effect of some experimental manipulation on pupil size. In such experiments, baseline correction improves statistical power by taking into account random fluctuations in pupil size over time. However, we show that baseline correction can also distort data if unrealistically small pupil sizes are recorded during the baseline period, which can easily occur due to eye blinks, data loss, or other distortions. Divisive baseline correction (corrected pupil size = pupil size/baseline) is affected more strongly by such distortions than subtractive baseline correction (corrected pupil size = pupil size ? baseline). We discuss the role of baseline correction as a part of preprocessing of pupillometric data, and make five recommendations: (1) before baseline correction, perform data preprocessing to mark missing and invalid data, but assume that some distortions will remain in the data; (2) use subtractive baseline correction; (3) visually compare your corrected and uncorrected data; (4) be wary of pupil-size effects that emerge faster than the latency of the pupillary response allows (within ±220 ms after the manipulation that induces the effect); and (5) remove trials on which baseline pupil size is unrealistically small (indicative of blinks and other distortions).