驾驶员的动态反应时研究

本研究应用DFY-1型动态反应时测试仪,以解放CA10B 型卡车为实验用车,结合日常运输任务,对三种年龄组(20—29岁、30—39岁、40—49岁)的30名驾驶员,在三种车速(静态,30公里/小时及50公里/小时)条件下的反应时、动作时及制动反应时进行了测试。结果表明:车速对驾驶员的反应时及制动反应时有显著影响,而对动作时则无显著影响;驾驶员的年龄对反应时、动作时及制动反应时均无显著影响.本研究结果为加强驾驶员的安全教育与管理,控制车速提供了佐证。更高车速条件下驾驶员的反应时特点尚待进一步研究。     

Genocide and Mass Killing: Origins, Prevention, Healing and Reconciliation

This article focuses on intense collective violence, especially mass killing and genocide. It briefly presents a conception of their origins, with new elements in the conception and comparisons with other approaches. Various aspects of genocide and mass killing are considered, including their starting points (such as difficult life conditions and group conflict), cultural characteristics, psychological and social processes (such as destructive ideologies), the evolution of increasing violence and its effect on perpetrators and bystanders, and the roles of leaders and of internal and external bystanders. Actions that might be taken by the community of nations and other actors to halt or prevent violence are described. In considering prevention there is a focus on processes of healing within previously victimized groups and reconciliation between hostile groups. A project on healing, forgiveness, and reconciliation in Rwanda is briefly described.     

On Agents That Have the Ability to Choose

We demonstrate ways to incorporate nondeterminism in a system designed to formalize the reasoning of agents concerning their abilities and the results of the actions that they may perform. We distinguish between two kinds of nondeterministic choice operators: one that expresses an internal choice, in which the agent decides what action to take, and one that expresses an external choice, which cannot be influenced by the agent. The presence of abilities in our system is the reason why the usual approaches towards nondeterminism cannot be used here. The semantics that we define for nondeterministic actions is based on the idea that composite actions are unravelled in the strings of atomic actions and tests that constitute them. The main notions used in defining this semantics are finite computation sequences and finite computation runs of actions. The results that we obtain meet our intuitions regarding events and abilities in the presence of nondeterminism.     

基于用户动态信息加工的信息流广告回避机制与重定向策略

信息流广告飞速发展的同时用户广告回避愈发普遍,然而传统广告回避结论无法平移到该情境。本研究基于用户动态的信息加工视角,试图探讨(1)动态信息加工状态下(收敛式vs发散式)产生广告屏蔽和广告跳过行为的内在机制;(2)采用归因引导重定向策略,挖掘用户屏蔽广告的“残留效应”所带来的信号价值;(3)采用广告凸显重定向策略,突破用户跳过广告的“学习效应”造成的负面影响。丰富现有理论的同时,为信息流广告的响应式优化提供理论和决策支持。     

Intensive Transactional Analysis Psychotherapy (ITAP): A case series study

Intensive Transactional Analysis Psychotherapy (ITAP) is a new therapeutic approach based on the integration of Transactional Analysis and brief psychodynamic approaches. ITAP is based on two key therapeutic tools—the intrapsychic triangle and the interpersonal triangle—which the therapist uses to focus patients’ attention on moment‐by‐moment therapy processes. The aim of the present study was to provide early empirical documentation of ITAP effectiveness. To this aim, six patients (four females, two males) were longitudinally evaluated using an A‐B‐A mixed quantitative and qualitative design, with evaluations at Baseline, Treatment and Follow‐up phases. Each patient received 16 50‐min weekly sessions of ITAP therapy over 4 months. For quantitative evaluations, patients filled out the Clinical Outcome in Routine Evaluation‐Outcome Measure (CORE‐OM) at each evaluation. Effects size values were estimated to evaluate quantitative changes comparing mean scores of Baseline, Treatment and Follow‐up phases. At the first follow‐up, the Change Interview was used to qualitatively evaluate patients’ perceived changes. In the quantitative data, four of the six patients reported a very good outcome, with large to very large effect sizes in Baseline versus Treatment and/or Baseline versus Follow‐up scores comparisons, whereas two patients reported variable fluctuations within the non‐clinical range of outcome scores. In the qualitative evaluations, all patients reported several moderately to extremely important perceived changes attributed to psychotherapy.     

Understanding Personality through Patterns of Daily Socializing: Applying Recurrence Quantification Analysis to Naturalistically Observed Intensive Longitudinal Social Interaction Data

Ambulatory assessment methods provide a rich approach for studying daily behaviour. Too often, however, these data are analysed in terms of averages, neglecting patterning of this behaviour over time. This paper describes recurrence quantification analysis (RQA), a non-linear time series technique for analysing dynamic systems, as a method for analysing patterns of categorical, intensive longitudinal ambulatory assessment data. We apply RQA to objectively assessed social behaviour (e.g. talking to another person) coded from the Electronically Activated Recorder. Conceptual interpretations of RQA parameters, and an analysis of Electronically Activated Recorder data in adults going through a marital separation, are provided. Using machine learning techniques to avoid model overfitting, we find that adding RQA parameters to models that include just average amount of time spent talking (a static measure) improves prediction of four Big Five personality traits: extraversion, neuroticism, conscientiousness, and openness. Our strongest results suggest that a combination of average amount of time spent talking and four RQA parameters yield an R² = .09 for neuroticism. Neuroticism is shown to be associated with shorter periods of extended conversation (periods of at least 12 minutes), demonstrating the utility of RQA to identify new relationships between personality and patterns of daily behaviour. Materials: https://osf.io/5nkr9/ . © 2020 European Association of Personality Psychology     

The Role of the Child in Adult Development

This paper provides theoretical and empirical support for the view that children play a large and often underappreciated role in adult development. Fifty parents and teachers were asked to discuss occasions when they learned something valuable from a child or when a child changed them in some significant way. Adults reported that children can cause them to (a) shift their values or priorities, (b) integrate memories or experiences previously disowned or repressed, (c) become more creative and cognitively flexible, or (d) look at the world with more wonder, awe, or curiosity. Werner's concept of genetic stratification (H. Werner, 1957) and Labouvie-Vief, Chiodo, Goguen, Diehl, and Orwoll's concept of dynamic intersubjectivity (G. Labouvie-Vief, L. M. Chiodo, L. A. Goquen, M. Diehl, & L. Orwoll, 1995) are used to explain the results.     

Combining dynamic systems and multivariate analyses to compare the mother-child interactions of externalizing subtypes

A dynamic systems analysis was conducted to distinguish the parent–child interactions of pure externalizing children from children comorbid for externalizing and internalizing problems. Thirty-three parents and clinically referred children (8–12 years old) discussed a problem for 4 min and then tried to wrap up in response to a signal (a perturbation). The perturbation was intended to increase the pressure on the dyad, triggering a reorganization of their behavioral system. We hypothesized that the comorbid group would be distinguished from the externalizing-only group as a result of this reorganization, but not before. The sequential data were analyzed using a combination of case-sensitive (state space grids and chi-square analyses) and group-based, multivariate techniques (log-linear modeling). Results revealed that externalizing dyads engaged in a permissive pattern throughout the problem-solving session, whereas comorbid dyads shifted from a permissive pattern to a mutually hostile pattern after the perturbation. These findings punctuate the need for a dynamic systems approach to the study of relationship processes associated with the development of childhood psychopathology. Theoretical and clinical implications are discussed.     

Generative models, brain function and neuroimaging

The representational capacity and inherent function of any neuron, neuronal population or cortical area in the brain is dynamic and context-sensitive. Functional integration, or interactions among brain systems, that employ driving (bottom up) and backward (top-down) connections, mediate this adaptive and contextual specialisation. A critical consequence is that neuronal responses, in any given cortical area, can represent different things at different times. This can have fundamental implications for the design of brain imaging experiments and the interpretation of their results. Our arguments are developed under generative models of brain function, where higher-level systems provide a prediction of the inputs to lower-level regions. Conflict between the two is resolved by changes in the higher-level representations, which are driven by the ensuing error in lower regions, until the mismatch is "cancelled". From this perspective the specialisation of any region is determined both by bottom-up driving inputs and by top-down predictions. Specialisation is therefore not an intrinsic property of any region but depends on both forward and backward connections with other areas. Because the latter have access to the context in which the inputs are generated they are in a position to modulate the selectivity or specialisation of lower areas. The implications for classical models (e.g., classical receptive fields in electrophysiology, classical specialisation in neuroimaging and connectionism in cognitive models) are severe and suggest these models may provide incomplete accounts of real brain architectures. Here we focus on the implications for cognitive neuroscience in the context of neuroimaging.     

Rotation in the dynamic factor modeling of multivariate stationary time series

A special rotation procedure is proposed for the exploratory dynamic factor model for stationary multivariate time series. The rotation procedure applies separately to each univariate component series of aq-variate latent factor series and transforms such a component, initially represented as white noise, into a univariate moving-average. This is accomplished by minimizing a so-called state-space criterion that penalizes deviations of the rotated solution from a generalized state-space model with only instantaneous factor loadings. Alternative criteria are discussed in the closing section. The results of an empirical application are presented in some detail.This research was supported by the Institute for Developmental and Health Research Methodology, University of Virginia.