Shivering for Status: When Cold Temperatures Increase Product Evaluation

While anecdotal evidence suggests that consumers maintain an association between high‐status products and cold temperature, no research has empirically examined this linkage. We propose and demonstrate that physical cold can indeed increase consumers’ perceptions of a product's status signaling and luxuriousness. We demonstrate this consequence can stem from tactile or visually induced temperatures and ultimately increase consumers’ overall evaluations of products. Finally, we highlight boundary conditions for when the effect is likely to manifest. Our findings offer theoretical contributions along with several practical implications for retailing, product design, brand management, and marketing communications.     

Just banter? Friendship,teasing and experimental aggression in adolescent peer networks

Aggressive behaviour serves many useful social functions, yet can also have damaging consequences. In line with evidence showing adolescent development in social cognitive abilities, we hypothesized that the use of aggression would become more sophisticated with age. We investigated adolescent aggression towards peers using an experimental, hypothetical aggression paradigm, the hot sauce paradigm, in a school‐based social network setting. Participants (N = 162 aged 11–17, 98 male) indicated which strength of imaginary hot sauce they would allocate to each of their classmates. A Social Network Questionnaire quantified participants’ perceived dyadic social tie strength with each classmate, and the incidence of mutual or unilateral dyadic real‐world aggression (e.g. teasing). Participants allocated weaker hot sauce to peers with whom they reported strong, positive social ties and an absence of self‐reported unilateral real‐world aggression. With increasing cross‐sectional age, there was a decrease in the impact of social tie strength and an increase in the extent to which hot sauce allocation was predicted by self‐reported mutual real‐world aggression. This pattern of findings is consistent with young (vs. late) adolescent use of experimental, hypothetical Hot Sauce aggression to reflect real‐world animosity, while late adolescents’ behaviour is more subtle. These findings extend our understanding of the dyadic social context of adolescent aggressive behaviour using a novel experimental aggression paradigm.     

Autoshaping and automaintenance: a neural-network approach

This article presents an interpretation of autoshaping, and positive and negative automaintenance, based on a neural-network model. The model makes no distinction between operant and respondent learning mechanisms, and takes into account knowledge of hippocampal and dopaminergic systems. Four simulations were run, each one using an A-B-A design and four instances of feedfoward architectures. In A, networks received a positive contingency between inputs that simulated a conditioned stimulus (CS) and an input that simulated an unconditioned stimulus (US). Responding was simulated as an output activation that was neither elicited by nor required for the US. B was an omission-training procedure. Response directedness was defined as sensory feedback from responding, simulated as a dependence of other inputs on responding. In Simulation 1, the phenomena were simulated with a fully connected architecture and maximally intense response feedback. The other simulations used a partially connected architecture without competition between CS and response feedback. In Simulation 2, a maximally intense feedback resulted in substantial autoshaping and automaintenance. In Simulation 3, eliminating response feedback interfered substantially with autoshaping and automaintenance. In Simulation 4, intermediate autoshaping and automaintenance resulted from an intermediate response feedback. Implications for the operant-respondent distinction and the behavior-neuroscience relation are discussed.     

The emergence of the ecological mind in Hua‐Yen/Kegon Buddhism and Jungian psychology

The complexity associated with deep interconnectedness in nature is beginning to be articulated and elaborated in the field of ecological studies. While some parallels to the psyche have been made and the field of Eco‐psychology has been developing, Jung's explicit contribution by way of the image of rhizomes has not been considered in detail. Philosopher Gilles Deleuze acknowledges borrowing the term from Jung, though he disagreed with Jung's Empedoclean use of the term. The paper presents some fundamental properties of rhizomes along with contemporary scientific research on mycorrhizal (fungal) networks. Comparisons are made, first with classical symbolic forms, demonstrating some overlap but also some differences. Then comparison of rhizomal networks is made to those found both in mammalian brains and in recent images of the ‘cosmic web’. While no hard conclusions can be drawn from these images, their remarkable similarities are suggestive of a need to reconsider what is meant by ‘intelligence’. The cosmic web is one of the largest structures in the known universe (clusters of galaxies which form into filaments and walls) with empty spaces in between. Exploration of the structure of this web leads to a discussion of dark matter and dark energy, current hot topics in science, probing into the mysteries of our ‘Big‐Bang’ cosmology. An additional comparison of the emerging image of the universe as a whole with the ancient Chinese Buddhist cosmological vision from the Hua‐Yen School (Kegon in Japan) again reveals profound parallels. The potential convergence of aspects of subjective, or meditative, explorations with objective scientific constructions is striking and offers links between East and West, as well as potential confirmation of the objective aspects of empathy.     

Dynamic Creative Interaction Networks and Team Creativity Evolution: A Longitudinal Study

To assess the dynamical effects of creative interaction networks on team creativity evolution, this paper elaborates a theoretical framework that links the key elements of creative interaction networks, including node, edge and network structure, to creativity in teams. The process of team creativity evolution is divided into four phases, including formation, growth, maturity and decline/restart. The importance of domain‐relevant knowledge, creativity‐relevant skill, interaction frequency, interaction length, network density and closeness centrality are emphasized in specific phases of team creativity evolution in a complex creative context. To test our assumptions, a longitudinal study of creative teams in a “Challenge Cup” Creative Business Plan Competition for university students is performed and the full networks of 17 creative entrepreneur teams are mapped. Both static comparison and dynamic analysis are conducted to analyze the relationship between creative interaction networks and team creativity evolution. For specific phases of team creativity evolution, we find confirmation of our predictions. The implications of dynamic creative interaction networks for all the phases of creative teams from formation to decline/restart are discussed.     

Do Disagreeable Political Discussion Networks Undermine Attitude Strength?

How attitudes change and affect behavior depends, in large part, on their strength. Strong attitudes are more resistant to persuasion and are more likely to produce attitude‐consistent behavior. But what influences attitude strength? In this article, we explore a widely discussed, but rarely investigated, factor: an individual's political discussion network. What prior work exists offers a somewhat mixed picture, finding sometimes that disagreeable networks weaken attitudes and other times that they strengthen attitudes. We use a novel national representative dataset to explore the relationship between disagreeable networks and attitude strength. We find, perhaps surprisingly, no evidence that disagreements in networks affect political attitude strength. We conclude by discussing likely reasons for our findings, which, in turn, provide a research agenda for the study of networks and attitude strength.     

Who victimizes whom and who defends whom? A multivariate social network analysis of victimization,aggression, and defending in early childhood

The aim of this research was to investigate the interplay between victim‐aggressor relationships and defending relationships in early childhood to test the proposition that young aggressors are less selective than older children in their choice of vulnerable targets. Cross‐sectional multivariate statistical social network analyses (Exponential Random Graph Models) for a sample of 177 preschoolers from seven classes, 5‐ to 7‐years‐old, revealed that boys were more aggressive than girls, toward both boys and girls, whereas defending relationships were most often same‐sex. There was significant reciprocity in aggression, indicating that it was more often bidirectional rather than unidirectional. In addition, aggressors clearly defended each other when they shared their targets of aggression, whereas a marginally significant trend appeared for defending between victims who were victimized by the same aggressors. Furthermore, teacher‐rated dominance was positively associated with children's involvement in both aggression and victimization, and teacher‐rated insecurity was associated with less aggression, but not with victimization. These findings suggest that those who are reported as being victimized may retaliate, or be aggressive themselves, and do not display some of the vulnerabilities reported among older groups of victims. The findings are in line with the proposition that young aggressors are less strategic than older children in targeting vulnerable victims. The network approach to peer victimization and defending contributes to understanding the social processes facilitating the development of aggression in early childhood.     

Birth of an Abstraction: A Dynamical Systems Account of the Discovery of an Elsewhere Principle in a Category Learning Task

Human participants and recurrent (“connectionist”) neural networks were both trained on a categorization system abstractly similar to natural language systems involving irregular (“strong”) classes and a default class. Both the humans and the networks exhibited staged learning and a generalization pattern reminiscent of the Elsewhere Condition (Kiparsky, 1973). Previous connectionist accounts of related phenomena have often been vague about the nature of the networks’ encoding systems. We analyzed our network using dynamical systems theory, revealing topological and geometric properties that can be directly compared with the mechanisms of non‐connectionist, rule‐based accounts. The results reveal that the networks “contain” structures related to mechanisms posited by rule‐based models, partly vindicating the insights of these models. On the other hand, they support the one mechanism (OM), as opposed to the more than one mechanism (MOM), view of symbolic abstraction by showing how the appearance of MOM behavior can arise emergently from one underlying set of principles. The key new contribution of this study is to show that dynamical systems theory can allow us to explicitly characterize the relationship between the two perspectives in implemented models.