Mnemic neglect: Selective amnesia of one’s faults

The mnemic neglect model predicts and accounts for selective memory for social feedback as a function of various feedback properties. At the heart of the model is the mnemic neglect effect (MNE), defined as inferior recall for self-threatening feedback compared to other kinds of feedback. The effect emerges both in mundane realism and minimal feedback settings. The effect is presumed to occur in the service of self-protection motivation. Mnemic neglect is pronounced when the feedback poses high levels of self-threat (i.e., can detect accurately one’s weakness), but is lost when self-threat is averted via a self-affirmation manipulation. Mnemic neglect is caused by self-threatening feedback being processed shallowly and in ways that separate it from stored (positive) self-knowledge. The emergence of mnemic neglect is qualified by situational moderators (extent to which one considers their self-conceptions modifiable, receives feedback from a close source, or is primed with improvement-related constructs) and individual differences moderators (anxiety, dysphoria, or defensive pessimism). Finally, the MNE is present in recall, but absent in recognition. Output interference cannot explain this disparity in results, but an inhibitory repression account (e.g., experiential avoidance) can: Repressors show enhanced mnemic neglect. The findings advance research on memory, motivation, and the self.     

The effect of geographic indication in advertising background pictures on product evaluation: The moderating role of familiarity

This study investigates whether geographic indications in the backgrounds of advertising pictures might affect the viewer's evaluation of a product. The findings reveal that participants in the proximal geographic indication evaluated the product more favourably than those in the distal geographic indication when they were exposed to feasibility‐related information. By contrast, participants in the distal geographic indication evaluated the product more favourably than those in the proximal geographic indication when they were exposed to desirability‐related information. However, familiarity with geographic indications eliminated this effect.     

Sustainable Technologies and Transdisciplinary Futures: From Collaborative Design to Digital Fabrication

This paper argues for hands-on, contextual and problem-solving collaborations, that is, for a transdisciplinary approach that establishes direct connections between social and technical disciplines. It is based on our experience as a team of researchers at the Vitruvius Fab Lab (Digital Fabrication Laboratory) of ISCTE-IUL (University Institute of Lisbon, Portugal). The paper presents a particular research and learning initiative–STTF2013 Summer School ‘Sustainable Technologies and Transdisciplinary Futures: From Collaborative Design to Digital Fabrication’, which served as a testbed for our transdisciplinary, critical and open approach. We address its rationale and main challenges, while also discussing recommendations for other transdisciplinary projects striving to integrate social and technical disciplines in research and innovation.     

Algorithmic complexity for psychology: a user-friendly implementation of the coding theorem method

Kolmogorov-Chaitin complexity has long been believed to be impossible to approximate when it comes to short sequences (e.g. of length 5-50). However, with the newly developed coding theorem method the complexity of strings of length 2-11 can now be numerically estimated. We present the theoretical basis of algorithmic complexity for short strings (ACSS) and describe an R-package providing functions based on ACSS that will cover psychologists’ needs and improve upon previous methods in three ways: (1) ACSS is now available not only for binary strings, but for strings based on up to 9 different symbols, (2) ACSS no longer requires time-consuming computing, and (3) a new approach based on ACSS gives access to an estimation of the complexity of strings of any length. Finally, three illustrative examples show how these tools can be applied to psychology.     

The Attainment of Self-Consistency Through Gender in Young Children

This paper explores young children's motivation for gender-stereotypical preferences by comparing two theories, both based on Kohlberg's stages of cognitive understanding within the cognitive developmental tradition. The first, elaborated by Kohlberg, suggests that gender-stereotypical preferences are the result of the child's cognitive understanding of the constancy of their gender. The second theory suggests that it is precisely the lack of certainty of gender constancy that influences gender-stereotypical behavior. Data from a cross-sectional study of 100 children sampled during their first year of school, and longitudinal case studies of 10 children during the transition to school, are brought to bear on these two theories. The sample was drawn from a range of working class and middle class home backgrounds. The children were mainly White, with 6% Asian-Indian in the cross-sectional sample, and 1 Asian-Indian child in the longitudinal group. The study finds an association between gender-stereotypical behavior and the attainment of gender constancy, suggesting support for the first theory.