Joint attention has been extensively studied in the developmental literature because of overwhelming evidence that the ability to socially coordinate visual attention to an object is essential to healthy developmental outcomes, including language learning. The goal of this study was to understand the complex system of sensory-motor behaviors that may underlie the establishment of joint attention between parents and toddlers. In an experimental task, parents and toddlers played together with multiple toys. We objectively measured joint attention—and the sensory-motor behaviors that (...) underlie it—using a dual head-mounted eye-tracking system and frame-by-frame coding of manual actions. By tracking the momentary visual fixations and hand actions of each participant, we precisely determined just how often they fixated on the same object at the same time, the visual behaviors that preceded joint attention and manual behaviors that preceded and co-occurred with joint attention. We found that multiple sequential sensory-motor patterns lead to joint attention. In addition, there are developmental changes in this multi-pathway system evidenced as variations in strength among multiple routes. We propose that coordinated visual attention between parents and toddlers is primarily a sensory-motor behavior. Skill in achieving coordinated visual attention in social settings—like skills in other sensory-motor domains—emerges from multiple pathways to the same functional end. (shrink)

Background Clinical empathy is an essential part of healthcare, and patient-centered care models require clinical empathy to be established. Despite this, little is known about its measurement in the neonatal scenario. Research Aim To measure clinical empathy in health professionals who work with medium and high-risk neonates and build a construct of this empathy. Research Design Single-center survey study. Participants and Research Context The Jefferson Scale of Empathy for Health Professionals questionnaire was applied to health professionals who work in an (...) intensive care unit and a medium-risk unit, in Brazil. Analysis was done using descriptive statistics and a factor analysis model, to build the construct of empathy. Overall empathy was calculated, and the domains’ punctuations were analyzed and compared to the maximum punctuation possible. The study followed the STROBE checklist. Ethical Considerations This study was approved by the Research Ethics Committee of the institution. All participants signed the informed consent form. Participants’ confidentiality and anonymity were protected. Findings Median empathy was 117 (IQR 113–124). The domain of Walking in the Patient’s Shoes had lower scores and represented 77.6% of the maximum punctuation possible. The factor analysis included three factors named Understanding, Experiences, and Treatment, and Emotional Relationships, explaining 64.3% of the overall variance. The domain Walking in the Patient’s Shoes was not included in the model. Conclusions In this scenario, clinical empathy should improve. There is a need to improve the domain of Walking in the Patient’s Shoes, in this case, the neonate, and provide more empathic care to them. (shrink)

The contributions to this special issue on cognitive development collectively propose ways in which learning involves developing constraints that shape subsequent learning. A learning system must be constrained to learn efficiently, but some of these constraints are themselves learnable. To know how something will behave, a learner must know what kind of thing it is. Although this has led previous researchers to argue for domain-specific constraints that are tied to different kinds/domains, an exciting possibility is that kinds/domains themselves can be (...) learned. General cognitive constraints, when combined with rich inputs, can establish domains, rather than these domains necessarily preexisting prior to learning. Knowledge is structured and richly differentiated, but its “skeleton” must not always be preestablished. Instead, the skeleton may be adapted to fit patterns of co-occurrence, task requirements, and goals. Finally, we argue that for models of development to demonstrate genuine cognitive novelty, it will be helpful for them to move beyond highly preprocessed and symbolic encodings that limit flexibility. We consider two physical models that learn to make tone discriminations. They are mechanistic models that preserve rich spatial, perceptual, dynamic, and concrete information, allowing them to form surprising new classes of hypotheses and encodings. (shrink)