How does a word become a message? An illustration on a developmental time-scale

Recent changes in views on cognition underscore its embodied, situated and distributed character. These changes are compatible with the conceptual framework of ecological psychology. However for ecological psychology to propose explanations for a broad range of cognitive phenomena, including language, it needs an account of how to link the dynamics of coupling between the organism and the environment with the apparent symbolicity of informational structures. In this paper it is proposed that a theory of information in biological systems, advocated by Howard Pattee, may help forge this link. By treating informational structures as constraints on dynamics this approach helps to identify which processes, in which systems and on what time-scales are needed for structures to ‘become messages’. I will illustrate how these processes might work on developmental time-scale in the domain of language, building on the work by Edward Reed (1995, 1996) and extending it using the view of linguistic structures as constraints.     

Can novice drivers be motivated to use a smartphone based app that monitors their behavior?

Encouraging young drivers to use driving feedback systems (referred here as GreenBoxes) is a challenge. Prior research and experience indicated that mainly due to insufficient motivation, adoption of GreenBoxes is minimal. Research also demonstrated that once feedback from GreenBoxes is provided to young drivers and their parents, the frequency of risky driving behavior is reduced.This study investigated the possible benefits of providing group incentives to encourage usage of GreenBoxes among young drivers. The specific GreenBox used in this study was a smartphone app that needed to be initiated at the beginning of each trip. Once initiated it monitors driving behavior in terms of G-force events, provides score and feedback, and shares the driving information with a pre-defined sponsor.This study builds and expands on a previous study by making the duration of the experiment longer, and by allowing participants to recruit their friends in order to help the group win its rewards.Despite of the more challenging scheme needed to gain rewards, the results obtained repeat the success of the previous study: all eligible participants downloaded the app and used it to win the rewards for the group. Additionally, friends were recruited by participants and used the app to help the group win rewards (without getting any personal rewards for themselves). However, once all the pre-specified rewards were achieved within the allotted time period, the young drivers stopped using the app.This study confirms again that barriers to adoption of GreenBox app among young drivers can be overcome by choosing low-cost suitable group incentive schemes.     

The electric vehicle: A new driving experience involving specific skills and rules

The arrival of the electric vehicle (EV) on the market is one consequence of government measures to improve air quality and reduce CO² emissions. However, the EV has specific properties of use associated with its limited range and relative silence compared to normal vehicles, influencing the mobility behaviours of drivers and requiring them to develop some new driving abilities. This paper examines the behavioural modifications brought about by daily use of an electric vehicle at three different levels of driving activity: strategic, tactical and operational. The study collected and analyzed the self-reported behaviours (via questionnaires and travels dairies) of 36 Parisian private drivers, each of whom drove for six months an electric MINI E prototype. The results of the study show that driving an EV requires a learning phase to acquire the skills and knowledge necessary to operate the vehicle. At the strategic level of driving, drivers take into account the restricted range of the EV, implement a daily charge process, and develop new behaviours related to trip planning. The study also examines driver behaviour at the tactical level, in terms of driver interactions with other road users to deal with the silent nature of the EV, and at the operational level of driving, in terms of braking behaviour to master the regenerative braking function of the EV. The paper discusses the interactions between these three levels of driving activity.     

How do supporters perceive positive and negative psychological momentum changes during a simulated cycling competition?

ObjectiveThe present study examined changes in sport supporters' psychological momentum (PM) during a simulated cycling competition through the lens of the dynamical systems approach.DesignParticipants were asked to support one of two competing cyclists involved in a race that was displayed on a screen in a lecture hall.MethodThe race scenario was manipulated so that the image of the supported cyclist underwent either positive or negative momentum. At regular intervals, participants indicated their PM perceptions during the race.ResultsPM perceptions rapidly changed at the onset of both the positive and negative momentum sequences and then remained stable, reflecting negative hysteresis. Supporters tended to anticipate the future performance of a given athlete on the basis of their current performance. Moreover, this anticipatory tendency was stronger during the positive momentum sequence than during the negative momentum sequence.ConclusionThese results provide initial insights into how PM perceptions of sport supporters change during a competition.     

Linking the Levels: Network and Relational Perspectives for Community Psychology

In this article, we assert that relationships and networks are of paramount importance for understanding and improving settings, neighborhoods, communities, and larger social systems. Despite previous acknowledgements of their relevance, relational and social network perspectives and analyses remain underrepresented in community psychological research and action. Here, we claim that network and relational perspectives can provide conceptual and empirical ‘links’ between levels of analysis, more fully reflecting a transactional view. We also describe some of the sophisticated methodologies that can be employed in empirical studies drawing on these perspectives. Additionally, we contend that core concepts in community psychology such as health promotion, empowerment, coalition building, and dissemination and implementation can be better understood when employing relational and network perspectives. As an introduction to this special issue of American Journal of Community Psychology, we draw out themes and key points from the articles in the issue, and offer recommendations for future advancement of these perspectives in the field.     

Complex Adaptive Systems and Global Capitalism: The Risk of a New Ideology of Global Complexity

Since the foundation of the Santa Fe Institute, the new science of complex adaptive systems (CAS) has seen extraordinary development, breaking with previous, more epistemological, trends in complexity theory. This article makes a critique of CAS as a model of the current global complexity. Its basic model, the cellular automaton, which focuses on the interactive dynamics among components, ignores the nature of any complex system as constructed by the observer/actor and is unable to explain the sociohistorical construction of the agents/subjects (analyzed by Foucault) and the social structure in which they are located (analyzed by Bourdieu), thus being unable to accurately represent the overall social complexity.     

Identifying Students at Risk: An Examination of Computer-Adaptive Measures and Latent Class Growth Analysis

Multitiered systems of support depend on screening technology to identify students at risk. The purpose of this study was to examine the use of a computer-adaptive test and latent class growth analysis (LCGA) to identify students at risk in reading with focus on the use of this methodology to characterize student performance in screening. Participants included 3,699 students in Grades 3–5. Three time points of administration (fall, winter, and spring) of the computer-adaptive reading measure were selected. LCGA results indicated 6–7 classes, depending on grade, informed by level and growth in student performance that significantly predicted failure on the statewide test administered at the end of the year. The lowest-performing classes had failure rates above 90% across all grades. The results indicate that identifying homogeneous groups of learners through LCGA may be valuable as an approach to determining students who need additional instruction. Practical implications and future directions are discussed.     

A complex dynamic systems approach to lasting positive change: The Synergistic Change Model

This paper argues that psychological and social functioning is fundamentally complex, and that this complexity is critical to understanding how lasting positive changes can be achieved. Principles from complex systems theory are integrated into an empirical positive psychological framework to propose a domain-based systems model of positive change called the Synergistic Change Model. This model proposes that enduring positive change depends on the formation of mutually supportive interactions across multiple domains of psychological and social functioning. The paper uses the model to explore three types of response to intervention – relapse, spill-over, and synergy – which have been supported in the existing positive psychology literature. Three practical intervention strategies arising from the model are outlined to inform the design of future positive interventions. The model challenges reductionistic approaches to positive change and offers several approaches to embrace the complexities of lasting positive change in future theory and research.     

An Examination of the RDoC Negative Valence Systems Domain Constructs and the Self-Reports Unit of Analysis

In response to shortcomings with the current diagnostic classification system for mental health disorders, such as poor validity and reliability of categorical diagnoses, the National Institute of Mental Health proposed the Research Domain Criteria (RDoC) initiative to move towards a dimensional approach using translational research. The current study examined associations between measures of behaviors, cognitions, and mental health symptoms and how they overlap in the Negative Valence Systems (NVS) domain. Specifically, we examined how the Self-Reports unit of analysis reflects the RDoC NVS constructs of acute threat, potential threat, sustained threat, frustrative nonreward, and loss. The overall goal was to identify additional self-report measures that reflect these constructs. Participants, two student samples and two community samples (total N = 1,509), completed online self-reported measures. Questionnaire total and subscale scores were submitted to a principal-axis factor analysis with Promax rotation separately for each sample. For both student samples and one community sample six-factor solutions emerged reflecting major aspects of the RDoC NVS and positive valence systems, particularly acute threat (i.e., fear/panic), potential threat (i.e., inhibition/worry), sustained threat (i.e., chronic stress), loss (i.e., low well-being), frustrative nonreward (i.e., reactive aggression), and reduced behavioral activation. The second community sample differed in that fear/panic and frustration/anger was combined in a general distress factor. Recommendations for additional NVS self-report markers are discussed.