Plasma interleukin-6 and soluble IL-6 receptors are associated with psychological well-being in aging women.

OBJECTIVE: This study tested the hypothesis that psychological well-being would predict lower plasma levels of inflammatory factors in aging women. DESIGN: One hundred thirty-five women ages 61-91 years (M = 74.5 years) participated in this study. After completing self-administered questionnaires in their homes, participants stayed overnight at the General Clinical Research Center (GCRC) at the University of Wisconsin-Madison. Blood samples for cytokine analyses were obtained in participants' homes after the GCRC visit. MAIN OUTCOME MEASURES: Psychological well-being and ill-being, history of health problems, and health behaviors were assessed via self-administered questionnaires. Detailed medical history and concurrent health measures were obtained during the GCRC stay. Enzyme-linked immunosorbent assays were used to determine interleukin-6 (IL-6) and soluble IL-6 receptor (sIL-6R) concentrations in plasma. RESULTS AND CONCLUSION: Regression analyses showed that plasma IL-6 levels were lower in women scoring higher on positive relationships, whereas sIL-6R levels were lower in women scoring higher on purpose in life, even after a variety of sociodemographic and health factors were controlled. These outcomes, combined with the absence of significant links with other measures of well-being and ill-being, suggest selective patterns of association between later life inflammatory processes and psychological factors, particularly those focused on positive ties with others and purposeful engagement.     

A systematic review of algorithm aversion in augmented decision making

Despite abundant literature theorizing societal implications of algorithmic decision making, relatively little is known about the conditions that lead to the acceptance or rejection of algorithmically generated insights by individual users of decision aids. More specifically, recent findings of algorithm aversion—the reluctance of human forecasters to use superior but imperfect algorithms—raise questions about whether joint human-algorithm decision making is feasible in practice. In this paper, we systematically review the topic of algorithm aversion as it appears in 61 peer-reviewed articles between 1950 and 2018 and follow its conceptual trail across disciplines. We categorize and report on the proposed causes and solutions of algorithm aversion in five themes: expectations and expertise, decision autonomy, incentivization, cognitive compatibility, and divergent rationalities. Although each of the presented themes addresses distinct features of an algorithmic decision aid, human users of the decision aid, and/or the decision making environment, apparent interdependencies are highlighted. We conclude that resolving algorithm aversion requires an updated research program with an emphasis on theory integration. We provide a number of empirical questions that can be immediately carried forth by the behavioral decision making community.     

Feedback training for facial image comparison

People are typically poor at matching the identity of unfamiliar faces from photographs. This observation has broad implications for face matching in operational settings (e.g., border control). Here, we report significant improvements in face matching ability following feedback training. In Experiment 1, we show cumulative improvement in performance on a standard test of face matching ability when participants were provided with trial-by-trial feedback. More important, Experiment 2 shows that training benefits can generalize to novel, widely varying, unfamiliar face images for which no feedback is provided. The transfer effect specifically benefited participants who had performed poorly on an initial screening test. These findings are discussed in the context of existing literature on unfamiliar face matching and perceptual training. Given the reliability of the performance enhancement and its generalization to diverse image sets, we suggest that feedback training may be useful for face matching in occupational settings.     

Influencing light versus heavy engagers of harmful behavior to curb their habits through positive and negative ad imagery

Mass media advertising has increasingly been seen as an important vehicle to influence attitudes and behaviors on issues designed to enhance the well‐being of society overall. However, prior research shows mixed results on the ability of advertising to encourage substantial or long‐term changes in self‐destructive behavior. The current research provides a framework to reconcile previous findings and demonstrates that different psychological processes are occurring when trying to convince light versus heavy engagers to curb their potentially harmful behaviors. Validated across two contexts (texting while driving and excessive gambling), the present study demonstrates that ads containing positive imagery (as opposed to negative imagery) are more effective at influencing heavy engagers to limit their harmful behaviors. Heavy engagers in the harmful behavior seem to resist ads containing negative imagery and do not find them to be more credible or involving. Instead, they are more influenced to curb their harmful behaviors after seeing positive imagery containing characters and situations to which they can relate. On the other hand, light engagers of harmful behavior are more likely to be persuaded to limit their behaviors after exposure to advertising containing negative imagery. The negative imagery evokes perceptions of ad credibility and encourages individuals to think about the advertised problem and consequences. Both credibility and ad involvement are shown to be important mediators of ad effectiveness for light engagers, whereas relatability was not a significant mediator for this group. Implications for the design of effective public service announcements targeted toward these separate groups are discussed. Copyright © 2015 John Wiley & Sons, Ltd.     

Identity From Variation: Representations of Faces Derived From Multiple Instances

Research in face recognition has tended to focus on discriminating between individuals, or “telling people apart.” It has recently become clear that it is also necessary to understand how images of the same person can vary, or “telling people together.” Learning a new face, and tracking its representation as it changes from unfamiliar to familiar, involves an abstraction of the variability in different images of that person's face. Here, we present an application of principal components analysis computed across different photos of the same person. We demonstrate that people vary in systematic ways, and that this variability is idiosyncratic—the dimensions of variability in one face do not generalize well to another. Learning a new face therefore entails learning how that face varies. We present evidence for this proposal and suggest that it provides an explanation for various effects in face recognition. We conclude by making a number of testable predictions derived from this framework.     

SUICIDE: A PATIENT’S WISH TO KILL OFF “BAD” INTROJECTS AND THUS ACHIEVE REBIRTH*

Benedict came for treatment because he experienced severe self-deprecating feelings that tortured him. He felt commanded—by what he characterized as internal demons—to kill himself. When he did not do so, he felt humiliated for having been a coward. Simultaneously, he reckoned that if he died his demons would be killed off, but that he would arise brand new. Because Benedict had already “killed off” several earlier therapists, he needed someone who could feel his pain, but would neither die from his emotional storms, nor give up on him. With considerable mutual work, he began to identify with my dogged determination to both survive his fierce attacks and to locate the source of the introjected demons that viciously attacked him (and others). When his emotionally-driven storms finally ebbed, he combined forces with me and began the ordeal of overcoming his fears and relinquishing his delusional system.     

Facial expression coding in children and adolescents with autism: Reduced adaptability but intact norm-based coding

Individuals with autism spectrum disorder (ASD) can have difficulty recognizing emotional expressions. Here, we asked whether the underlying perceptual coding of expression is disrupted. Typical individuals code expression relative to a perceptual (average) norm that is continuously updated by experience. This adaptability of face-coding mechanisms has been linked to performance on various face tasks. We used an adaptation aftereffect paradigm to characterize expression coding in children and adolescents with autism. We asked whether face expression coding is less adaptable in autism and whether there is any fundamental disruption of norm-based coding. If expression coding is norm-based, then the face aftereffects should increase with adaptor expression strength (distance from the average expression). We observed this pattern in both autistic and typically developing participants, suggesting that norm-based coding is fundamentally intact in autism. Critically, however, expression aftereffects were reduced in the autism group, indicating that expression-coding mechanisms are less readily tuned by experience. Reduced adaptability has also been reported for coding of face identity and gaze direction. Thus, there appears to be a pervasive lack of adaptability in face-coding mechanisms in autism, which could contribute to face processing and broader social difficulties in the disorder.     

Coping with an insecure employment environment: The differing roles of protean and boundaryless career orientations

In this paper, we utilize a sample of working adults (N = 362) in the context of the recent economic recession to explore the coping mechanisms associated with different career attitudes and their subsequent impact on important individual work outcomes. Results of structural equation modeling (SEM) demonstrated that boundaryless mindset and self-directed protean career attitudes were differentially correlated with external support seeking, active coping, and identity awareness, which in turn were differentially correlated with individual work outcomes of job search behavior, performance, career success, and psychological well-being. Evidence for both full and partial mediation within the model tested is presented, as well as the potential implications of these findings and suggested avenues for future research.     

The role of sincere amends and perceived partner responsiveness in forgiveness

In a sample of 188 people currently in a romantic relationship, the authors examined the extent to which perceiving a partner as responsive and sincere in making amends relates to participants' forgiveness of a partner after a real‐life hurtful event. Specifically, it was predicted that sincere amends would be associated with greater forgiveness because it conveys that one's partner has understood and validated one's experience of the hurtful event. Results supported this mediational model. Further, exploratory analyses suggested that this meditational model is moderated by event severity and relationship satisfaction. Discussion focuses on understanding how this work might help to inform the dynamic process of forgiveness in couples.