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Topic Review Peer Reviewed
Naturalistic Faces and Faces in Paintings: An Overview
Faces are the most important social signal in our society. Nevertheless, there is a problem with faces: they are all made up of the same features in the same general order (the eyes are above the nose, which is above the mouth). To process faces one uses a special kind of processing, which is holistic, considering the integration of the face’s features and their relative distances. One may distinguish the recognition of known faces and the processing of unfamiliar faces. Face processing abilities may be lost due to either a lesion or developmental reasons, i.e., prosopagnosia. To further explore these reasons, one could consider pictorial representations of faces—such as faces in paintings. These are particularly interesting because different art styles differ in how realistic/distorted they are relative to real faces, which allows for exploring people’s sensitivity to face-likeness. In a way, individuals are not sensitive to face-likeness. In face matching part–whole tasks, performance does not differ across art styles. Still, individuals are not fully impervious to distortion: early markers of face processing (N170 component) are sensitive to face-likeness, with more realistic (vs. distorted) art styles eliciting responses more in line with those of real faces.
  • 81
  • 13 Aug 2025
Topic Review
The Psychology of Ocean Literacy
Ocean Literacy (OL) can be broadly defined as a framework for understanding the complex and evolving relationships between people and the ocean. It is increasingly recognized as a vital component of marine conservation and sustainability efforts. OL is inherently interdisciplinary, and psychology, while being a particularly relevant field, remains an underutilized field in this space. This paper demonstrates how psychological theories, frameworks, and validated measures can meaningfully inform OL strategies across its ten proposed dimensions: knowledge, awareness, attitudes, behavior, activism, communication, emotional connections, access and experience, adaptive capacity, and trust and transparency.
  • 44
  • 14 Oct 2025
Topic Review Peer Reviewed
Career Anchors
The career anchor (CA) is a metaphor created by Edgar Schein to illustrate the role of patterns of self-perceived talents, motives, and values in guiding, stabilizing (i.e., anchoring), and integrating a person’s work career. With the early years of work experience, this pattern tends to stabilize into one of the possible CAs and plays two main roles: guiding the selection of specific occupations and work environments; shaping individual reactions to the actual occupation and work environment. Since Schein’s initial conceptualization, theoretical refinements have been proposed, suggesting that CAs can change over time and that multiple CAs can coexist. Although substantial evidence supports the theory’s key predictions, the available literature appears fragmented, with a primary focus on descriptive concerns. Actual measurement issues also limit the development of theoretical knowledge. This entry provides an updated overview of the central predictions related to CAs, aiming at promoting greater integration and coherence in research and practice.
  • 26
  • 13 Feb 2026
Topic Review Peer Reviewed
Virtual Reality as an Innovative Tool for Youth Mental Health
Virtual reality (VR) is a new technological advancement that has been at the forefront of a promising new era of technology-based psychoeducation, therapeutic practices, and interventions. VR offers the ability for individuals to enter an immersive virtual world with opportunities to engage with stimuli that exposes them to situations that otherwise cannot be created or controlled in the real world. Thus, VR presents a viable avenue for research, therapeutic treatment, and socio-emotional learning in adolescents. This entry seeks to provide a comprehensive overview of the developing landscape of virtual reality as a means of promoting mental health for youth. We illuminate the robust opportunities for utilizing this new technology in psychological treatment, education, and intervention in adolescents, as well as the unique challenges it presents, and areas that future research should explore.
  • 25
  • 16 Dec 2025
Topic Review Peer Reviewed
Digital Mental Health Post COVID-19: The Era of AI Chatbots
Digital mental health resources have expanded rapidly in the wake of the COVID-19 pandemic, offering new opportunities to improve access to mental healthcare through technologies such as AI chatbots, mobile apps, and online platforms. Despite this growth, significant challenges persist, including low user retention, limited digital literacy, unclear privacy regulations, and insufficient evidence of clinical effectiveness and safety. AI chatbots, which act as virtual therapists or companions, provide counseling and personalized support, but raise concerns about user dependence, emotional outcomes, privacy, ethical risks, and bias. User experiences are mixed: while some report enhanced social health and reduced loneliness, others question the safety, crisis response, and overall reliability of these tools, particularly in unregulated settings. Vulnerable and underserved populations may face heightened risks, highlighting the need for engagement with individuals with lived experience to define safe and supportive interactions. This review critically examines the empirical and grey literature on AI chatbot use in mental healthcare, evaluating their benefits and limitations in terms of access, user engagement, risk management, and clinical integration. Key findings indicate that AI chatbots can complement traditional care and bridge service gaps. However, current evidence is constrained by short-term studies and a lack of diverse, long-term outcome data. The review underscores the importance of transparent operations, ethical governance, and hybrid care models combining technological and human oversight. Recommendations include stakeholder-driven deployment approaches, rigorous evaluation standards, and ongoing real-world validation to ensure equitable, safe, and effective use of AI chatbots in mental healthcare.
  • 17
  • 28 Feb 2026
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