Do Infants Recognize Engagement in Social Interactions? The Case of Face‐to‐Face Conversation

This study explores 12‐month‐olds' understanding of face‐to‐face conversation, a key contextual structure associated with engagement in a social interaction. Using a violation‐of‐expectations paradigm, we habituated infants to a “face‐to‐face” conversation, and in a test phase compared their looking times between “back‐to‐back” (conceptually novel) and “face‐to‐face” (conceptually familiar) conversations, while simultaneously manipulating perceptual familiarity in a 2 × 2 factorial design. We also analyzed dynamic changes in pupil dilation, which are considered a reliable measure of cognitive load that may index processing of social interactions. Infants looked relatively longer at perceptual changes (new speaker positions) but not at conceptual change (back‐to‐back conversation), suggesting that face‐to‐face conversation may not elicit particular expectations, and so may not carry any particular conceptual significance. Moreover, on the first test trial, larger pupil dilation was observed for familiar conditions, suggesting that familiarity with perceptual features could enhance processing of conversations. Thus, this study undermines assertions regarding infants' conceptual understanding of the social signals underlying engagement. Infants may rather recognize such signals through their perceptual familiarity and associated positive feelings. This may then increase their engagement when observing and participating in others' collaborative activities, in turn allowing for the development of knowledge regarding others' intentions.     

Searching for effective interventions for foster children under stress: a meta‐analysis

Foster children experience a lot of stress because of their life histories and changes in their family circumstances, such as foster care placement. It is important that foster parents recognize the early signs of stress in foster children and learn how to act in a non‐threatening and understanding manner. Family‐based interventions may help in this. In this paper, we report on a meta‐analysis of studies (n= 19) of the effectiveness of such interventions. All studies used a pre‐test/post‐test design. Both problem behaviour in foster children and the parenting skills of foster parents improved by 30%; however, none of the interventions were specifically intended to help young children (<4 years) to cope with stress. The importance of interventions for young foster children is discussed, as well as the necessary elements these interventions should include.     

The importance of moral reflection and self-reported data in a dictator game with production

This article studies how individual behavior is affected by moral reflection in a dictator game with production. We make individuals reflect on fairness, in a structured way, before they play the dictator game. Our results suggest that moral reflection not only increases the weight people attach to fairness in distributive choices, but also has a strong effect on what people consider fair. Furthermore, we study the informational value of self-reported data. We find that self-reported data have substantial informational value, but do not add explanatory power to a random utility model estimated on purely behavioral data. Finally, we study whether there is a self-serving bias in the participants’ fairness perceptions, but do not find much evidence of this phenomenon in the data.     

Inequality in mobilizing online help after a negative life event: the role of education,digital skills,and capital-enhancing Internet use

Many studies have investigated inequalities in coping with stressful life events and often education is found to play a role in this (the higher educated are usually more successful in dealing with their problems in terms of well-being consequences). We examine whether something similar occurs on the Internet, whether the higher educated are more successful in mobilizing help online, and whether this is related to their digital skills and the way in which they use the Internet. With the latter, we link online coping to digital inequality research. Researchers have investigated digital inequalities with regard to skills and types of Internet use. However, we know little about the extent to which these factors translate into inequalities in resources mobilized from the Internet. This latter type of inequality is highly relevant, since it is an intermediary step between Internet use and (improved) well-being and life chances. Using a large sample of individuals living in the Netherlands, we find educational differences in the mobilization of online problem-focused coping resources, but no differences with regard to online socioemotional or disengagement coping resources. The educational inequalities in online coping are somewhat smaller than educational inequalities in offline coping, leading to remarkable consequences for social policy. Furthermore, we find a relatively complex pattern of interrelations between offline inequality (education) and different types of digital inequality (skills, usage, resources). In our conclusions we make a plea for more research on outcomes of Internet use and we discuss the implications of our findings for further research.     

Design Improvements for Message Propagation in Malleable Social Networks

This study presents the formal problem definition and computational analysis of the network design improvements for idea and message propagation in both enterprise and consumer social networks (ESN and CSN, respectively). Message propagation in social networks is impacted by how messages are seeded in the network, and by propagation characteristics of the network topology itself. It has been recognized that the propagation properties of these networks can be actively influenced by network design interventions, such as the deliberate creation of new connections. We address the problem of finding cost‐effective message seeding, and identifying potential new network connections that allow improved propagation in social networks with cascade propagation. We use the hop‐constrained minimum spanning tree (HMST) model to find the seeds and possible new connections that result in networks with improved propagation properties. Moreover, we present new heuristic algorithms that substantially improve the solution quality for the HMST problem. Computational results posit that the design improvements proposed by the HMST approach can greatly improve cascade propagation performance of the networks at low cost.     

Inference in disease transmission experiments by using stochastic epidemic models

Summary.  The paper extends the susceptible–exposed–infective–removed model to handle heterogeneity introduced by spatially arranged populations, biologically plausible distributional assumptions and incorporation of observations from additional diagnostic tests. These extensions are motivated by a desire to analyse disease transmission experiments in a more detailed fashion than before. Such experiments are performed by veterinarians to gain knowledge about the dynamics of an infectious disease. By fitting our spatial susceptible–exposed–infective–removed with diagnostic testing model to data for a specific disease and production environment a valuable decision support tool is obtained, e.g. when evaluating on-farm control measures. Partial observability of the epidemic process is an inherent problem when trying to estimate model parameters from experimental data. We therefore extend existing work on Markov chain Monte Carlo estimation in partially observable epidemics to the multitype epidemic set-up of our model. Throughout the paper, data from a Belgian classical swine fever virus transmission experiment are used as a motivating example.     

Designing Lives and Empowering Clients: The Case of Sue

This case response centers on the client Sue, a professional mediator who seeks counseling to resolve a conflict with her employer that threatens her vocational identity (M. C. Rehfuss, 2003). P. B. Baltes's (1997) Selective Optimization With Compensation model of human development and J. Heckhausen and R. Schulz's (1995) Life‐Span Theory of Control are used to frame Sue's career development, identify her current control orientation, and assist her in making the transition from compensation to an optimizing strategy. Such a strategy aims to preserve her vocational identity while satisfying the needs of her employer.