Robots as Malevolent Moral Agents: Harmful Behavior Results in Dehumanization,Not Anthropomorphism

A robot's decision to harm a person is sometimes considered to be the ultimate proof of it gaining a human-like mind. Here, we contrasted predictions about attribution of mental capacities from moral typecasting theory, with the denial of agency from dehumanization literature. Experiments 1 and 2 investigated mind perception for intentionally and accidentally harmful robotic agents based on text and image vignettes. Experiment 3 disambiguated agent intention (malevolent and benevolent), and additionally varied the type of agent (robotic and human) using short computer-generated animations. Harmful robotic agents were consistently imbued with mental states to a lower degree than benevolent agents, supporting the dehumanization account. Further results revealed that a human moral patient appeared to suffer less when depicted with a robotic agent than with another human. The findings suggest that future robots may become subject to human-like dehumanization mechanisms, which challenges the established beliefs about anthropomorphism in the domain of moral interactions.     

Promoting the underestimated: A vignette study on the importance of the need for affiliation to successful leadership

Research on the relationship of implicit motives and effective leadership emphasises the importance of a socialised need for power, whereas high levels of the need for affiliation are assumed to thwart a leader’s success. In our study, we experimentally analysed the impact of leaders’ socialised need for power and their need for affiliation on perceptions of transformational leadership and various success indicators. Using paper-people vignettes, we contrasted leaders characterised by either motive with those concerned with personalised power or achievement. Results based on N?=?80 employees show that leaders high in socialised power were rated more successful and elicited more identification and organisational citizenship behaviour (OCB) in followers, and that in most cases this effect was mediated by perceptions of transformational leadership. For all outcomes but OCB, findings remained unchanged when affiliation-motivated leaders were considered. Exploratory analyses contrasting socialised power-motivated and affiliation-motivated leaders show that with regard to attitudinal outcomes affiliation-motivated leaders were, on average, as effective as socialised power-motivated ones.

     

Support for the Populist Radical Right: Between Uncertainty Avoidance and Risky Choice

The last several decades have witnessed a structural change in politics toward cultural and identity conflicts, accompanied by the rise of populist radical right (PRR) parties. However, we know surprisingly little about the psychological or cognitive-motivational factors underlying PRR support. We claim that uncertainty avoidance (UA)—an epistemic avoidance motivation—represents a central motive because UA resonates with the PRR platform and precedes common predictors of PRR voting. Using data from the 2017 Austrian National Election Study, we found that UA was indeed indirectly associated with a higher likelihood of PRR voting. This association is because greater UA fostered right-wing sociocultural views, whereas associations with populist attitudes or expected government competence were more ambiguous. PRR parties appear to offer “certainty,” but as extreme parties, they also remain a “risky choice.” We conclude by discussing the contribution of a cognitive-motivational account to explain PRR voting.     

To Challenge the Morning Lark and the Night Owl: Using Smartphone Sensing Data to Investigate Day–Night Behaviour Patterns

For decades, day–night patterns in behaviour have been investigated by asking people about their sleep–wake timing, their diurnal activity patterns, and their sleep duration. We demonstrate that the increasing digitalization of lifestyle offers new possibilities for research to investigate day–night patterns and related traits with the help of behavioural data. Using smartphone sensing, we collected in vivo data from 597 participants across several weeks and extracted behavioural day–night pattern indicators. Using this data, we explored three popular research topics. First, we focused on individual differences in day–night patterns by investigating whether ‘morning larks’ and ‘night owls’ manifest in smartphone-sensed behavioural indicators. Second, we examined whether personality traits are related to day–night patterns. Finally, exploring social jetlag, we investigated whether traits and work weekly day–night behaviours influence day–night patterns on weekends. Our findings highlight that behavioural data play an essential role in understanding daily routines and their relations to personality traits. We discuss how psychological research can integrate new behavioural approaches to study personality.     

Indicators of Affect Dynamics: Structure,Reliability, and Personality Correlates

Researchers are increasingly interested in the affect dynamics of individuals for describing and explaining personality and psychopathology. Recently, the incremental validity of more complex indicators of affect dynamics (IADs; e.g. autoregression) has been called into question (Dejonckheere et al., 2019), with evidence accumulating that these might convey little unique information beyond mean level and general variability of emotions. Our study extends the evidence for the construct validity of IADs by investigating their redundancy and uniqueness, split-half reliability based on indices from odd-numbered and even-numbered days, and association with big five personality traits. We used three diverse samples that assessed daily and momentary emotions, including community participants, individuals with personality pathology, and their significant others (total N = 1192, total number of occasions = 51 278). Mean and variability of affects had high reliability and distinct nomological patterns to big five personality traits. In contrast, more complex IADs exhibited substantial redundancies with mean level and general variability of emotions. When partialing out these redundancies by using residual variables, some of the more complex IADs had acceptable reliability, but only a few of these showed incremental associations with big five personality traits, indicating that IADs have limited validity using the current assessment practices. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology     

Depression and attachment in families: a child-focused perspective

Given the social nature and developmental implications of attachment and depression, in this review we will examine the role of attachment and the effects of a depressed family member at each stage of a child's development. We discuss treatment strategies for families in which either a parent or a child is depressed. We propose a model that is based on the developmental phase of the children in the family, and that aims to strengthen attachment bonds among family members and alleviate depressive symptoms.     

Physical activity,motor ability,and school readiness of 6-yr.-old children

The aim of this investigation was to study the relationships between physical activity, motor ability, and school readiness in 6-yr.-old children. In total, 294 healthy children from Tartu were studied (161 boys and 133 girls). The physical activity of children was reported by parents and teachers using the questionnaire of Harro. The motor ability of children was evaluated using various tests from the Eurofit test battery as well as the 3-min. endurance shuttle run test. The Controlled Drawing Observation rest was used as a predictor of school readiness and development of mental abilities. Indoor physical activities predicted 19-25% of total variance in motor scores for these preschool children. Motor ability tests, which demand children's total attention and concentration, appear related to the chosen measures of school readiness.     

Object-based selection operates on a grouped array of locations

In two experiments, space- and object-based selection effects were investigated, using variants of the ring-cuing paradigm of Egly and Homa (1984). The results revealed significant cuing modulation for nonring configurations of target locations spanning a range of retinal eccentricities, with the cuing effects independent of eccentricity and confined to the configuration of locations (rather than extending to locations within the space enclosed by the cued configuration). These results are consistent with object-based selection operating on a grouped spatial array (Vecera & Farah, 1994). Object selection may be based on a supradimensional saliency map representation of the field, modulated by feature-specific segmentation mechanisms (e.g., an object may be made salient on the basis of its color). Complex objects may be represented by grouped saliency signals. In this way, a two-dimensional spatial (saliency) representation may provide the common format for object-based selection, prior to full object definition.     

n-Variable Bisection

This paper deals with the measurement problem of deriving an overall evaluation of stimuli by n-component bisection. Reflexivity and a generalised form of bisymmetry for two variables will be shown to characterise n-component bisection in terms of quasilinear means, unique up to linear transformations of their generating functions. Copyright 2000 Academic Press.