Predicting face similarity judgements with a computational model of face space

Current models of face representation involve the notion of a high-dimensional face space. Computational models of face space based on principal components analysis (PCA) have been successfully used to predict human judgements of face sex or race. In this work the capability of PCA-based face spaces to predict human judgements of face similarity is examined. Three different paradigms were used. In Experiment 1 subjects learned face-name associations for 18 faces and identified these faces on tachistoscopic presentation. The number of confusions was used as a measure of face similarity. In Experiment 2 the same subjects subjectively rated the similarity of all 153 possible face pairs. In Experiment 3 reaction time to identify a face in an odd-man-out task was measured as an index of face similarity. These empirical measures were correlated with distance of the faces in PCA-based spaces of different dimensionalities. For Experiments 1 and 2 these correlations were highest for one-or two-dimensional face spaces (r=−0.27 vs. −0.28). For Experiment 3 the correlation was highest for a space consisting of 13 dimensions (r=−0.51). Thus PCA-based spaces seem capable to predict human similarity judgements to some extent. Possible reasons for the differences in predictability between paradigms are discussed.     

Empathic-Cognitive Development in Students of Counseling

Empathy is both crucial to counseling and a desired outcome in higher education. Since the 1960s, many studies have examined the relationship between stages of adult cognitive development and level of empathy, particularly in counselors. Though positive, findings related to this critical research focus have been grounded in small, local samples, leading several investigators to call for a replication using a large, national sample. In response, this study surveyed 340 graduate student members of a large professional counseling association across the United States. Results indicated that more mature forms of thought (according to the Perry scheme) are associated with higher empathy levels (Hogan scale). Implications are drawn for adult development theory, education of counselors, and higher education reform.     

Clinical Guidelines for Working With Stepfamilies: What Family,Couple, Individual,and Child Therapists Need to Know

This article draws on four decades of research and clinical practice to delineate guidelines for evidence‐informed, clinically sound work with stepfamilies for couple, family, individual adult, and child therapists. Few clinicians receive adequate training in working with the intense and often complex dynamics created by stepfamily structure and history. This is despite the fact that stepfamilies are a fundamentally different family form that occurs world‐wide. As a result many clinicians rely on their training in first‐time family models. This is not only often unhelpful, but all too often inadvertently destructive. The article integrates a large body of increasingly sophisticated research about stepfamilies with the author's four decades of clinical practice with stepfamily relationships. It describes the ways in which stepfamilies are different from first‐time families. It delineates the dynamics of five major challenges stepfamily structure creates: (1) Insider/outsider positions are intense and they are fixed. (2) Children struggle with losses, loyalty binds, and change. (3) Issues of parenting, stepparenting, and discipline often divide the couple. (4) Stepcouples must build a new family culture while navigating previously established family cultures. (5) Ex‐spouses (other parents outside the household) are part of the family. Some available data are shared on the impact of cultural and legal differences on these challenges. A three‐level model of clinical intervention is presented: Psychoeducational, Interpersonal, and Intrapsychic/Intergenerational Family‐of‐Origin. The article describes some “easy wrong turns” for well‐meaning therapists and lists some general clinical guidelines for working with stepfamily relationships.     

Couple‐based Intervention for Depression: An Effectiveness Study in the National Health Service in England

This study represents an effectiveness study and service evaluation of a cognitive behavioral, couple‐based treatment for depression (BCT‐D) provided in London services that are part of the “Improving Access to Psychological Therapies” (IAPT) program in England. Twenty‐three therapists in community clinics were trained in BCT‐D during a 5‐day workshop, followed by monthly group supervision for 1 year. The BCT‐D treatment outcome findings are based on 63 couples in which at least one partner was depressed and elected to receive BCT‐D. Eighty‐five percent of couples also demonstrated relationship distress, and 49% of the nonclient partners also met caseness for depression or anxiety. Findings demonstrated a recovery rate of 57% with BCT‐D, compared to 41% for all IAPT treatments for depression in London. Nonclient partners who met caseness demonstrated a 48% recovery rate with BCT‐D, although they were not the focus of treatment. BCT‐D was equally effective for clients regardless of the clinical status of the nonclient partner, suggesting its effectiveness in assisting both members of the couple simultaneously. Likewise, treatment was equally effective whether or not both partners reported relationship distress. The findings are promising regarding the successful application of BCT‐D in routine clinical settings.     

Knowing When Help Is Needed: A Developing Sense of Causal Complexity

Research on the division of cognitive labor has found that adults and children as young as age 5 are able to find appropriate experts for different causal systems. However, little work has explored how children and adults decide when to seek out expert knowledge in the first place. We propose that children and adults rely (in part) on “mechanism metadata,” information about mechanism information. We argue that mechanism metadata is relatively consistent across individuals exposed to similar amounts of mechanism information, and it is applicable to a wide range of causal systems. In three experiments, we show that adults and children as young as 5 years of age have a consistent sense of the causal complexity of different causal systems, and that this sense of complexity is related to decisions about when to seek expert knowledge, but over development there is a shift in focus from procedural information to internal mechanism information.     

Translating the ICAP Theory of Cognitive Engagement Into Practice

ICAP is a theory of active learning that differentiates students’ engagement based on their behaviors. ICAP postulates that I nteractive engagement, demonstrated by co‐generative collaborative behaviors, is superior for learning to C onstructive engagement, indicated by generative behaviors. Both kinds of engagement exceed the benefits of A ctive or P assive engagement, marked by manipulative and attentive behaviors, respectively. This paper discusses a 5‐year project that attempted to translate ICAP into a theory of instruction using five successive measures: (a) teachers’ understanding of ICAP after completing an online module, (b) their success at designing lesson plans using different ICAP modes, (c) fidelity of teachers’ classroom implementation, (d) modes of students’ enacted behaviors, and (e) students’ learning outcomes. Although teachers had minimal success in designing Constructive and Interactive activities, students nevertheless learned significantly more in the context of Constructive than Active activities. We discuss reasons for teachers’ overall difficulty in designing and eliciting Interactive engagement.     

Sequenced neurocognitive and behavioral parent training for the treatment of ADHD in school-age children

The present study examines the potential of sequencing a neurocognitive intervention with behavioral parent training (BPT) to improve executive functions (EFs), psychiatric symptoms, and multiple indices of functional impairment in school-age children aged 7 to 11 years who have been diagnosed with attention-deficit/hyperactivity disorder (ADHD). Specifically, in a randomized controlled trial design, 85 children were assigned to either Cogmed Working Memory Training (CWMT) followed by an empirically supported, manualized BPT intervention, or to a placebo version of CWMT followed by the same BPT intervention. Working memory maintenance (i.e., attention control/short-term memory), working memory processing and manipulation, ADHD and oppositional defiant disorder (ODD) symptoms, impairment in parent–child dynamics, familial impairment, and overall functional compromise were evaluated as outcomes. The results suggest specific effects of the combined CWMT and BPT program on verbal and nonverbal working memory storage and nonverbal working memory processing and manipulation but no incremental benefits in regard to ADHD symptoms, ODD symptoms, and functional outcomes. The present findings do not support the hypothesis regarding the complementary and augmentative benefits of sequenced neurocognitive and BPT interventions for the treatment of ADHD. These results, the study’s limitations, and future directions for research are further discussed.     

Using finite mixture of GLMs to explore variability in children's flexibility in a task-switching paradigm

The present study illustrates the usefulness of finite mixture of generalized linear models (GLMs) to examine variability in cognitive strategies during childhood. More precisely, it addresses this variability in set-shifting situations where task-goal updating is endogenously driven. In a task-switching paradigm 5–6-year-olds had to switch between color- and shape-matching rules as a function of a predetermined, predictable task sequence. A finite mixture of GLMs was fitted to explore individual differences in performance. The statistical model revealed five response profiles, defined by accuracy and response times. These response profiles likely correspond to different cognitive strategies with varying efficiency and differential relations to working memory capacity (assessed by backward digit span). These results illustrate the heuristic value of statistical modeling to reveal the behavioral and cognitive variability in the temporal dynamics of children's cognitive functioning.     

Inhibitory control in number-conservation and class-inclusion tasks: A neo-Piagetian inter-task priming study

We investigated whether success in number-conservation and class-inclusion tasks relies on a general ability to inhibit misleading strategies. Two groups of 10-year-olds performed inter-task priming between computerized versions of class-inclusion and number-conservation tasks (Experiment 1). In one group, the class-inclusion task served as a prime and the number-conservation task as an assessment probe and vice versa in the other group. Response times were shorter in the number-conservation task when performed after the class-inclusion task (and vice versa in the other group) than in control prime-probe sequences in which the primes did not require the inhibition of a misleading strategy. Experiment 2 showed that these inter-task priming effects did not simply reflect that class inclusion and number conservation rely on the reversibility of concrete operations as Piaget would have hypothesized. Taken together the results are consistent with the neo-Piagetian assumption that cognitive development is rooted in both the acquisition of knowledge of incremental complexity and the ability to resist (inhibit) previous knowledge. Critically, the present finding suggests that the inhibitory ability is not domain- or strategy-specific.     

Memory systems within a cognitive architecture

This article addresses the division of memory systems in relation to an overall cognitive architecture. As understanding the architecture is essential to understanding the mind, developing computational cognitive architectures is an important enterprise in computational psychology (computational cognitive modeling). The article proposes a set of hypotheses concerning memory systems from the standpoint of a cognitive architecture, in particular, the four-way division of memory (including explicit and implicit procedural memory and explicit and implicit declarative memory). It then discusses in detail how these hypotheses may be validated through examining qualitatively the literature on memory. A quick review follows of computational simulations of a variety of quantitative data (which are not limited to narrowly conceived “memory tasks”). Results of accounting for both qualitative and quantitative data point to the promise of this approach.