Adaptive memory: Animacy effects persist in paired-associate learning

Recent evidence suggests that animate stimuli are remembered better than matched inanimate stimuli. Two experiments tested whether this animacy effect persists in paired-associate learning of foreign words. Experiment 1 randomly paired Swahili words with matched animate and inanimate English words. Participants were told simply to learn the English “translations” for a later test. Replicating earlier findings using free recall, a strong animacy advantage was found in this cued-recall task. Concerned that the effect might be due to enhanced accessibility of the individual responses (e.g., animates represent a more accessible category), Experiment 2 selected animate and inanimate English words from two more constrained categories (four-legged animals and furniture). Once again, an advantage was found for pairs using animate targets. These results argue against organisational accounts of the animacy effect and potentially have implications for foreign language vocabulary learning.     

An Ecological Approach to Reducing the Social Isolation of People With an Intellectual Disability

An ecological approach to understanding insecure attachments and social isolation among people with an intellectual disability is constructed using Gibson's (1979/1986) affordance-based theory. Although environmental affordances and individual limitations interact to limit the development of social competence, we believe that by focusing on the immediate environment, community-based approaches to helping people with an intellectual disability are often ignored, which increases the burden on individual caregivers. A more comprehensive strategy, which extends Gibson's theory of affordances, allows us to consider how higher level social systems influence the immediate environment and provides the context for understanding why successful change occurs when a multifaceted, holistic approach that works on several levels is adopted. Examining these systems within an ecological framework fundamentally redefines our thinking by shifting the focus from a person's disability to a more nuanced understanding of a person's abilities within the context of appropriate environmental supports in which the person's disability becomes less salient.     

Relational Spirituality and Dealing With Transgressions: Development of the Relational Engagement of the Sacred for a Transgression (REST) Scale

In the study of spirituality and forgiveness, researchers have begun to look at how dynamic spiritual experiences influence forgiveness. In three studies, we develop the Relational Engagement of the Sacred for a Transgression (REST) Scale, which assesses the extent to which victims actively engage a relationship with the Sacred to deal with a specific transgression. In Study 1, exploratory factor analysis was used to determine the factor structure of the REST. In Study 2, the factor structure was replicated using confirmatory factory analysis. The REST was correlated with religious commitment and negatively related to avoidant attachment to God. In Study 3, evidence supporting the scale's construct validity was adduced. REST scores were correlated with other appraisals of relational spirituality. Structural equation modeling was used to compare theoretical models. REST scores were related to dedication to the Sacred and viewing the transgression as a desecration. In addition, REST scores were positively related to empathy, which was positively related to forgiveness. Furthermore, REST scores predicted forgiveness above and beyond other appraisals of relational spirituality.     

Building a Bridge of Trust: Collaborative Assessment With a Person With Serious Mental Illness

Collaborative assessment utilizes psychological testing to help people make positive changes in their lives. Limited research has evaluated the utility of collaborative assessment for persons with serious mental illness. This case example uses the Personality Assessment Inventory to illustrate the usefulness of collaborative assessment with a person with serious mental illness. This approach informed not only diagnostic considerations but also revealed the client's current level of distress, contributed to enhanced therapeutic alliance, and directly pointed to psychiatric rehabilitation strategies.     

Safety Engineering for Artificial General Intelligence

Machine ethics and robot rights are quickly becoming hot topics in artificial intelligence and robotics communities. We will argue that attempts to attribute moral agency and assign rights to all intelligent machines are misguided, whether applied to infrahuman or superhuman AIs, as are proposals to limit the negative effects of AIs by constraining their behavior. As an alternative, we propose a new science of safety engineering for intelligent artificial agents based on maximizing for what humans value. In particular, we challenge the scientific community to develop intelligent systems that have human-friendly values that they provably retain, even under recursive self-improvement.