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.     

Integrating Theories of Psychological Needs‐as‐Requirements and Psychological Needs‐as‐Motives: A Two Process Model

Two conceptions of psychological needs predominate within contemporary motivational science. Motive disposition theory conceives of needs as behavioral motives which direct behavior (needs‐as‐motives), while self‐determination theory conceives of needs as universally required experiences for optimal functioning (needs‐as‐requirements). Until recently, these perspectives on psychological needs have proceeded without much intersection, despite the fact that they address the same fundamental concept. Here we summarize the Two Process Model of Psychological Needs, which attempts to bridge these two conceptions. We argue that psychological needs are best defined as tendencies to seek out certain basic types of psychosocial experiences, to a somewhat varying extent across individuals, and to feel good and thrive when those basic experiences are obtained, to the same extent across individuals. We suggest that this definition allows a reconciliation of needs‐as‐motives and needs‐as‐requirements perspectives and a more consilient science of human motivation. Empirical support for the TPM is also summarized.     

When past meets present: the relationship between website‐induced nostalgia and well‐being

The present research examined whether social media websites increase feelings of nostalgia, and whether this nostalgic reverie promotes psychological and social health. Specifically, in comparison to control conditions, participants exposed to the websites Dear Old Love and Dear Photograph reported greater feelings of nostalgia (Studies 1–3), positive affect (Studies 1 and 3), life satisfaction (Study 1), and relationship need satisfaction (Study 2). Further, mediational analyses revealed that increased thoughts of nostalgia heightened subjective well‐being and social connectedness. Study 3 showed that the relationship between nostalgia and positive affect was specific to the Dear Photograph website and did not generalize to any website focused on close relationships. The implications of this research for nostalgia, internet use, and well‐being are further discussed.     

Self‐determination theory as a foundation for personality researchers

In this introductory article, we first describe the impetus for this special issue. What made us think that self‐determination theory (SDT) might provide a sort of foundation for the rest of personality psychology? For readers unfamiliar with SDT, we then provide a historical overview that covers the evolution of the six “mini‐theories” that currently compose SDT: cognitive evaluation theory, causality orientations theory, organismic integration theory, basic psychological needs theory, goal contents theory, and relational motivation theory. Following each section are preliminary suggestions about how each mini‐theory might be useful or informative in other branches of personality. This special issue contains nine articles, each of which makes its own attempt to newly link its area of personality research to SDT. Even if SDT is not the appropriate seed for greater consilience in personality psychology, we urge the field not to neglect the search for unifying principles (Sheldon, Cheng, & Hilpert, 2011); it may finally be time to renew the search for a “grand theory” in personality.     

Compassion with Justice: Harari’s Assault on Human Rights

Yuval Noah Harari contends that human rights are an outdated myth. He calls for replacing them with a new global ethic to meet crises as varied as environmental destruction, disruptive technologies, and extreme gaps between rich and poor. Toward that end, he outlines an ethics that exalts compassion and elides justice, an ethics that animates his trilogy: Sapiens, Homo Deus, and 21 Lessons for the 21st Century. I draw together the key elements in his personal ethics, tracing them to a combination of scientism, postmodernism, and Buddhism. I then argue that he misunderstands human rights, inflates the role of science in moral matters, and fails to reconcile his moral passion with his moral skepticism.     

The time course of location-avoidance learning in fear of spiders

Two experiments were designed to study the time course of avoidance learning in spider fearfuls (SFs) under controlled experimental conditions. To achieve this, we employed an immersive virtual environment (IVE): While walking freely through a virtual art museum to search for specific paintings, the participants were exposed to virtual spiders. Unbeknown to the participants, only two of four museum rooms contained spiders, allowing for avoidance learning. Indeed, the more SF the participants were, the faster they learned to avoid the rooms that contained spiders (Experiment. 1), and within the first six trials, high fearfuls already developed a preference for starting their search task in rooms without spiders (Experiment 2). These results illustrate the time course of avoidance learning in SFs, and they speak to the usefulness of IVEs in fundamental anxiety research.     

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.