Drawing Task Research Articles

The role of attachment in children’s relationships with pets: From pet care to animal harm

AbstractRelatively little is known about how attachment influences children’s relationships to pets or mediates positive and negative interaction outcomes. We carried out in-depth interviews with 27 children, including nine children at high-risk for animal harm and 18 matched controls. We used the Child Attachment Play Assessment (CAPA), a drawing task and self-report measures including the Short Attachment to Pets Scale (SAPS) and Children’s Animal Harm Behaviours (CAHB). We also designed a novel measure, the ‘Pets In Children’s Attachment Stories’ (PICAS), to probe children’s mentalising about pets, caregiving-behaviours, comfort from pet and parental help. Children at high risk of animal harm were more likely to be classified as insecure (p = 0.002). Drawings indicated secure children tended to feel closer to mothers (p = 0.014) and siblings (p = 0.007), while pets’ proximity did not vary according to attachment strategy. Although insecure children scored lower on mentalising (p = 0.013), caregiving behaviour (p = 0.028) and parental help (p = 0.002), both groups similarly used pets as sources of comfort. There were no differences between attachment patterns on SAPS but there were differences for CAHB scores (p = 0.048). Thus, although insecure attachment was an important risk factor for harming animals, secure and insecure children had similar capacity for bonding with their pets. These results have implications both for how we treat cases of childhood animal harm and for how we understand the supportive role pets can play in children’s lives.

Constructional Impairments and Their Neural Correlates in Nondemented Adults With Cerebral Autosomal-dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy.

Cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a monogenic small-vessel disease that is characterized by a wide range of neurologic and neuropsychological impairments. Constructional impairments have been reported in some cases but have never been assessed systematically. To evaluate constructional abilities and their cognitive and neural correlates in nondemented individuals with CADASIL. Thirty individuals with CADASIL who were not affected by clinically relevant cognitive deterioration and 30 healthy controls (HC) underwent an extensive cognitive assessment and paper-and-pencil visuoconstructional tasks in order to detect constructional impairments. Performance on the visuoconstructional tasks was correlated with the cognitive assessment scores and with quantitative indices of regional gray matter atrophy (obtained via FreeSurfer image analysis) and white matter involvement. The individuals with CADASIL achieved significantly lower scores on the cognitive assessment compared with the HC. Poor visuoconstructional abilities were observed in seven (23.3%) of the individuals with CADASIL when performing the copy drawing task and in nine (30%) when performing the Rey Complex Figure Test. Logistic regression revealed that visuoconstructional impairments were significantly associated with scores on the Frontal Assessment Battery and the Attentional Matrices Test. Morphometric results revealed that scores on the visuoconstructional tasks were related to gray matter atrophy of the left frontal lobe and right parietal lobe. Impairments on visuoconstructional tasks are quite common in individuals with CADASIL, even in the lack of clinically relevant cognitive deterioration, and are critically related to frontal and parietal atrophy.

Visual focus groups: Stimulating reflexive conversations with collective drawing

In this methodological article, I introduce a qualitative research method, called the visual focus group (VFG), which incorporates a collective drawing task within the structure of a focus group. The VFG was specifically developed to support engaged research about how activists conceptualize the political role of technology, by stimulating participants to reflect on their unspoken assumptions about digital technologies. After reviewing the relevant literature on focus groups and graphic elicitation techniques, the article presents two types of VFGs: diagnostic and speculative. While diagnostic VFGs are primarily a research tool meant to enable researchers to assess how people envision technology, speculative VFGs encourage participants to imagine better digital technologies. I describe the structure of both types of VFGs and offer examples of their outputs; I then discuss the limitations of this method and propose other research topics for which it might be used.

Analysis of group behavior based on sharing heterogeneous roles in a triad using a coordinated drawing task.

Humans often share roles and aim to achieve a group goal based on sociality, which is the tendency to spontaneously involve oneself with others. Cognitive science, psychology, and neuroscience studies suggest that in such planned coordination, adjusting one's own actions based on other roles is crucial for high task performance. However, the mechanisms of complex and dynamically planned coordination, such as non-verbal group behavior with three or more members, remain to be fully investigated. This study introduced a coordinated drawing task in a triad, quantitatively analyzed non-verbal group behavior based on sharing heterogeneous roles, and investigated an important role. Participant triads engaged in the task repeatedly by operating reels to change thread tensions and moving a pen connected to the three threads to draw an equilateral triangle. Then, the three roles (pulling, relaxing, and adjusting) had to be shared. The pulling and relaxing roles served to move the pen as if an operator pulled it closer to the hand and to support the pen's movement, respectively. However, these roles alone could not draw a side considering the task specification. The adjusting role needed to change the tension flexibly and maintain an overall balance. In the experiment, we measured the pen positions and tensions, and established statistical models to fit the analyzed data. The results estimated that the action in the adjusting role was related to the improved performance of faster drawing on a side. This role may moderately intervene in the actions by the other roles and fine-tune without disturbing the pen's smooth movement while avoiding great pen deviation. Our findings may suggest the crucial role as a facilitator that handles resiliently in non-verbal coordinated behavior of a triad, and contribute to our understanding of social interactions.

Are Two Heads Better Than One?: The Effect of Student-AI Collaboration on Students' Learning Task Performance.

A growing number of educators expect that artificial intelligence (AI) will augment students' capacities and rapidly transform the teaching and learning practice. However, there is a lack of convincing evidence on the effects of Student-AI Collaboration (SAC) on a learning task's performance. A critical examination of the effects on students' learning performance is a crucial step in understanding the potential benefits of SAC on learning. Through a repeated measure experiment participated by 20 undergraduate students in South Korea, this study examined the effects of SAC on a public advertisement drawing task. The findings revealed that SAC significantly affects creativity in content, expressivity in expression, and public utility in effectiveness varied depending on students' attitude toward AI or on the level of drawing skill. Implications for the design of educational AI and AI literacy education are discussed.

Detecting Time Concept Competence in Children with Autism Spectrum and Attention Disorders.

The importance of time concept in human existence is “ancient history” celebrated in the biblical book Ecclesiastes. Indeed, our time-sensitive mechanisms are literally carved into our biology and neurology on a molecular level, gifting us with neural clocks. However, time in human consciousness is not the time indicated by physical clocks: time is a subjective reality in our psychological makeup due to the nature of the temporal neural mechanisms and unique properties of physical time. Nonetheless, subjective time requires anchoring to physical time which permeates our language, endeavors, and entire existence, a process hinging on time-related skills such as estimates and measures of passage and duration of time. Moreover, accurate time reading, a critical adaptive life-skill, is imperative for effective function in all societal activities. Because it embodies the complexity of the time construct, it is central to instruction of time concept in primary education. It is often measured in children by clock drawings, a cognitive integrative skill with errors pointing to neuroanatomical differences impacting the integrity of executive function. Time competence in children with atypical neurobiological development and high prevalence, as in autism spectrum disorders (ASD), and attention disorders (ADHD), is often compromised, calling for investigation of its function. This thematic review article aims to: 1) discuss the complexity of time concept and its underlying bio-neurological mechanisms, 2) elucidate difficulties children with ASD and those with ADHD exhibit in temporal development, and 3) demonstrate the use of a set of clinical tools in uncovering temporal competence and ecological executive function in two children with ASD, and a child with ADHD, using a clock drawing task and error analyses; children’s time knowledge questionnaire; a behavior rating parent questionnaire examining ecological executive function, and parent open-ended questions related to their children’s time difficulties. A discussion, directions, and a take-home message round out the article.

Evaluations from Superiors Matter More: Evidence from Behavior and Event-related Potentials.

As an essential feature of social groups, social hierarchies influence how people interact in daily life. However, it is unknown how external evaluations from peers at different levels in a social hierarchy influence feedback processing. In the current study, participants were instructed to establish a social hierarchy through a novel stick drawing task. With their status in the social hierarchy manipulated to be in the middle, participants received positive or negative evaluations from superiors and inferiors separately with ERPs signals recorded. Behaviorally, participants rated their happiness highest, and most quickly, after receiving positive evaluations from superiors. ERP results showed that P3 amplitude exhibited an interaction between social hierarchy and feedback valence, such that larger P3 amplitude was elicited by positive evaluations from superiors than any other condition, whereas the feedback-related negativity was only sensitive to the difference between high and low social statuses. Moreover, a generalized linear mixed model examining single-trial ERP data showed P3 amplitude correlated with happiness ratings as a function of feedback valence: a significant positive correlation in the positive feedback condition and a significant negative correlation in the negative feedback condition. P3 was also negatively correlated with RT across all conditions. These results demonstrate that brain activity associated with feedback processing predicted participants' emotion ratings and their decision time. Our study provides the first ERP evidence that positive feedback from superiors impacts neural activity related to reward processing differently than positive feedback from those of lower social standing.

An Edugame as a Didactic Tool for the Development of Executive Functions

The aim of this work is to design an edugame, created at the Laboratory H of the Department of Human, Philosophical, and Educational Sciences of the University of Salerno, as a didactic tool to assess and promote the development of executive functions in children with special educational needs attending primary school. The good functioning of executive functions is assessed through specific tests and is a predictor of the prerequisites necessary for school learning and the development of social skills. The edugame prototype will be composed of several interactive games to allow students to train some cognitive skills at an increasing level. The prototype will consist of several interactive games to enable students to train certain cognitive skills at an increasing level. In the first design phase, work will focus on one of the components of executive functions: inhibition. In fact, the first game was implemented starting from an application created in Lab-H, built on the basis of the circle drawing task, to assess the capacity for inhibition.

Increased movement-related signals in both basal ganglia and cerebellar output pathways in two children with dystonia.

The contribution of different brain regions to movement abnormalities in children with dystonia is unknown. Three awake subjects undergoing depth electrode implantation for assessments of potential deep brain recording targets performed a rhythmic figure-8 drawing task. Two subjects had dystonia, one was undergoing testing for treatment of Tourette Syndrome and had neither dystonia nor abnormal movements during testing. Movement-related signals were evaluated by determining the magnitude of task-related frequency components. Brain signals were recorded in globus pallidus internus (GPi), the ventral oralis anterior/posterior (VoaVop) and the ventral intermediate (Vim) nuclei of the thalamus. In comparison to the subject without dystonia, both children with dystonia showed increased task-related activity in GPi and Vim. This finding is consistent with a role of both basal ganglia and cerebellar outputs in the pathogenesis of dystonia. Our results further suggest that frequency analysis of brain recordings during cyclic movements may be a useful tool for analysis of the presence of movement-related signals in various brain regions.

Ergodic Shared Control: Closing the Loop on pHRI Based on Information Encoded in Motion

Advances in exoskeletons and robot arms have given us increasing opportunities for providing physical support and meaningful feedback in training and rehabilitation settings. However, the chosen control strategies must support motor learning and provide mathematical task definitions that are actionable for the actuation. Typical robot control architectures rely on measuring error from a reference trajectory. In physical human-robot interaction, this leads to low engagement, invariant practice, and few errors, which are not conducive to motor learning. A reliance on reference trajectories means that the task definition is both over-specified—requiring specific timings not critical to task success—and lacking information about normal variability. In this article, we examine a way to define tasks and close the loop using an ergodic measure that quantifies how much information about a task is encoded in the human-robot motion. This measure can capture the natural variability that exists in typical human motion, enabling therapy based on scientific principles of motor learning. We implement an ergodic hybrid shared controller (HSC) on a robotic arm as well as an error-based controller—virtual fixtures—in a timed drawing task. In a study of 24 participants, we compare ergodic HSC with virtual fixtures and find that ergodic HSC leads to improved training outcomes.

The relationship between shape perception accuracy and drawing ability

Accurate shape perception is critical for object perception, identification, manipulation, and recreation. Humans are capable of making judgements of both objective (physical) and projective (retinal) shape. Objective judgements benefit from a global approach by incorporating context to overcome the effects of viewing angle on an object’s shape, whereas projective judgements benefit from a local approach to filter out contextual information. Realistic drawing skill requires projective judgements of 3D targets to accurately depict 3D shape on a 2D surface, thus benefiting from a local approach. The current study used a shape perception task that comprehensively tests the effects of context on shape perception, in conjunction with a drawing task and several possible measures of local processing bias, to show that the perceptual basis of drawing skill in neurotypical adults is not due to a local processing bias. Perceptual flexibility, the ability to process local or global information as needed, is discussed as a potential mechanism driving both accurate shape judgements and realistic drawing.

Young children’s interactions with a social robot during a drawing task

ABSTRACT Social robots communicate through human-like behaviours and are being used in preschool settings. However, the ways in which young children interact with social robots and how these impact upon early educational experiences are not fully known. This observational study explored preschoolers’ (Mean age = 4.58 years; N = 40) interactions with a social robot called NAO during a drawing activity, in South East Queensland, Australia. Most children (83%) engaged in the drawing activity and 60% talked to the social robot. A smaller proportion (10%) of children did not talk to the social robot or attempt the drawing task. Overall, the social robot successfully engaged and instructed preschool children during the drawing task however, not all children interacted with the social robot. It is recommended that a thoughtful approach to introducing social robots to preschools is needed to meet the individual and personal learning needs of young children.

An explainable self-attention deep neural network for detecting mild cognitive impairment using multi-input digital drawing tasks

BackgroundMild cognitive impairment (MCI) is an early stage of cognitive decline which could develop into dementia. An early detection of MCI is a crucial step for timely prevention and intervention. Recent studies have developed deep learning models to detect MCI and dementia using a bedside task like the classic clock drawing test (CDT). However, it remains a challenge to predict the early stage of the disease using the CDT data alone. Moreover, the state-of-the-art deep learning techniques still face black box challenges, making it questionable to implement them in a clinical setting.MethodsWe recruited 918 subjects from King Chulalongkorn Memorial Hospital (651 healthy subjects and 267 MCI patients). We propose a novel deep learning framework that incorporates data from the CDT, cube-copying, and trail-making tests. Soft label and self-attention were applied to improve the model performance and provide a visual explanation. The interpretability of the visualization of our model and the Grad-CAM approach were rated by experienced medical personnel and quantitatively evaluated using intersection over union (IoU) between the models’ heat maps and the regions of interest.ResultsRather than using a single CDT image in the baseline VGG16 model, using multiple drawing tasks as inputs into our proposed model with soft label significantly improves the classification performance between the healthy aging controls and the MCI patients. In particular, the classification accuracy increases from 0.75 (baseline model) to 0.81. The F1-score increases from 0.36 to 0.65, and the area under the receiver operating characteristic curve (AUC) increases from 0.74 to 0.84. Compared to the multi-input model that also offers interpretable visualization, i.e., Grad-CAM, our model receives higher interpretability scores given by experienced medical experts and higher IoUs.ConclusionsOur model achieves better classification performance at detecting MCI compared to the baseline model. In addition, the model provides visual explanations that are superior to those of the baseline model as quantitatively evaluated by experienced medical personnel. Thus, our work offers an interpretable machine learning model with high classification performance, both of which are crucial aspects of artificial intelligence in medical diagnosis.

Group Synchronization during Collaborative Drawing using Functional Near-Infrared Spectroscopy.

Functional near-infrared spectroscopy (fNIRS) is a noninvasive method particularly suitable for measuring cerebral cortex activation in multiple subjects, which is relevant for studying group interpersonal interactions in ecological settings. Although many fNIRS systems technically offer the possibility to monitor more than two individuals simultaneously, establishing easy-to-implement setup procedures and reliable paradigms to track hemodynamic and behavioral responses in group interaction is still required. The present protocol combines fNIRS and video-based observation to measure interpersonal synchronization in quartets during a cooperative task.This protocol provides practical recommendations for data acquisition and paradigm design, as well as guiding principles for an illustrative data analysis example. The procedure is designed to assess differences in brain and behavior interpersonal responses between social and non-social conditions inspired by a well-known ice-breaker activity, the Collaborative Face Drawing Task. The described procedures can guide future studies to adapt group naturalistic social interaction activities to the fNIRS environment.

Investigating Children's Ability to Express Internal States through Narratives and Drawings: Two Longitudinal Studies during Pandemic.

The COVID-19 pandemic emergency has challenged children’s socio-affective and cognitive development. It is essential to capture the modulation of their emotional experience through ecological and children-friendly tasks, such as written narratives and drawings. This contribution investigates the impact of pandemic experience (2020–2021 waves) on the internal states and emotions of the primary school age children, according to a longitudinal research approach through narratives (study 1 n = 21) and drawing tasks (study 2 n = 117). 138 Italian children were examined during COVID-19 three (study 1) or two waves (study 2). Children’s written narratives were codified on the basis of narrative competence and psychological lexicon. Children’s drawings were codified based on social/emotional, physical, and environmental elements. Results of narrative texts showed a lower psychological lexicon relating to positive emotions and a greater psychological lexicon relating to negative emotions only in the study sample group during the first lockdown compared to the previous and subsequent periods. Children’s drawings of themselves showed a decrease of negative emotions during the third pandemic wave in comparison to the first pandemic wave. Results inform mental health services, school practitioners, and parents about the importance of written narratives and drawings for promoting well-being in the developmental age.

Automated Early Detection of Alzheimer's Disease by Capturing Impairments in Multiple Cognitive Domains with Multiple Drawing Tasks.

Background:Automatic analysis of the drawing process using a digital tablet and pen has been applied to successfully detect Alzheimer’s disease (AD) and mild cognitive impairment (MCI). However, most studies focused on analyzing individual drawing tasks separately, and the question of how a combination of drawing tasks could improve the detection performance thus remains unexplored.Objective:We aimed to investigate whether analysis of the drawing process in multiple drawing tasks could capture different, complementary aspects of cognitive impairments, with a view toward combining multiple tasks to effectively improve the detection capability.Methods:We collected drawing data from 144 community-dwelling older adults (27 AD, 65 MCI, and 52 cognitively normal, or CN) who performed five drawing tasks. We then extracted motion- and pause-related drawing features for each task and investigated the associations of the features with the participants’ diagnostic statuses and cognitive measures.Results:The drawing features showed gradual changes from CN to MCI and then to AD, and the changes in the features for each task were statistically associated with cognitive impairments in different domains. For classification into the three diagnostic categories, a machine learning model using the features from all five tasks achieved a classification accuracy of 75.2%, an improvement by 7.8% over that of the best single-task model.Conclusion:Our results demonstrate that a common set of drawing features from multiple drawing tasks can capture different, complementary aspects of cognitive impairments, which may lead to a scalable way to improve the automated, reliable detection of AD and MCI.

Contextual influences on children's mathematical understandings

In order to maximise children's mathematical learning opportunities in school, we need to take account of what they have already learned about mathematics in their out-of-school contexts. Children's representations provide one such mechanism for gaining insight into their everyday mathematical experiences and understandings. This study utilises an ecological theoretical framework to examine the ways in which children's everyday experiences in a range of contexts influence their early mathematical understandings. Data is presented from a study of 100 four to six-year-old Australian children as they entered and experienced their first year of primary school. Throughout the study, the children completed a series of drawing tasks related to different mathematical concepts, and were invited to provide either verbal or written narratives to accompany their drawings. These data were analysed using an ecological theoretical framework in order to explore the individual components of each context, as well as the relationships between these contexts. Findings demonstrate that children come to school with rich understandings of mathematics which have been shaped by their experiences in a range of contexts. The activities and relationships within children's home settings appear to be the most profound in terms of developing mathematical understandings, with very few children representing mathematics learning within a school context.

Diagnostic Accuracy of the Overlapping Infinity Loops, Wire Cube, and Clock Drawing Tests in Subjective Cognitive Decline, Mild Cognitive Impairment and Dementia.

Figure drawing tasks are commonly used standalone or as part of broader screening tests to detect cognitive impairment. Only one study has compared the classification accuracy of three common drawing tasks—overlapping infinity loops, wire cube, and the clock drawing task (CDT)—in mild cognitive impairment (MCI) and dementia, but age and education, which impact performance, were not accounted for. We replicated the research, adjusting for age and education and, for the first time, assessed subjective cognitive decline (SCD) too. Participants were recruited from the Tasmanian ISLAND Cognitive Clinic and healthy controls from a community sample. All participants completed the three figure drawing tasks. The clinic patients were categorised according to interdisciplinary consensus diagnosis. Binomial logistic regression and area under ROC curves (AUC) were calculated to determine the discriminatory ability of each drawing task. Overall, 112 adults were recruited; 51 had normal cognition (NC), 21 SCD, 24 MCI, and 16 had dementia. The infinity loops test did not discriminate any of the groups, casting some doubt on its usefulness. The wire cube discriminated NC from dementia (AUC 0.7; p < 0.05). The CDT discriminated NC from dementia (AUC 0.77; p < 0.01), NC from cognitive impairment (dementia + MCI; AUC 0.59; p < 0.05), and MCI from dementia (AUC 0.76; p < 0.01). None of the tests discriminated NC from MCI or NC from SCD. The CDT was the most discriminatory test, followed by the wire cube. This may help guide clinicians who often choose just one figure drawing task due to time constraints or patient fatigue.

Rationale and Evidence for Peripheral Nerve Stimulation for Treating Essential Tremor.

Background:There is growing recognition of peripheral stimulation techniques for controlling arm symptoms in essential tremor (ET). Recently, the FDA gave clearance to the Cala system, a device worn around the wrist to treat arm tremors. The Cala system stimulates the sensory afferents of the peripheral nerves with high-frequency pulses. These pulses are delivered to the median and radial nerves alternately at the tremor frequency of the individual patient.Methods:The PubMed database was searched using the terms (“Essential Tremor”[Mesh] OR “essential tremor” [Title/] OR “tremor” [Title/]) AND (“peripheral arm stimulation” [Title/] OR “Cala device” [Title/] OR “sensory afferent stimulation” [Title/] OR “afferent stimulation” [Title/] OR “arm stimulation” [Title/] OR “peripheral nerve stimulation” [Title/]).Results:The search yielded 54 articles. Many studies discussed the rationale and various strategies for peripheral modulation of tremor. While the Cala system was found to be safe and well-tolerated in ET, data on efficacy revealed mixed findings. In a large randomized, blinded trial (n = 77), the primary outcome evaluated with spiral drawing task did not improve but the secondary outcomes reflected by the arm tremor severity and the activities of the daily living score revealed 20–25% improvements. A subsequent trial (n = 323) found that the in-home use of the Cala device led to improvements of similar magnitude lasting for at least three months but the clinical assessments were open-labeled.Discussion:Peripheral stimulation techniques are promising therapeutic modalities for treating ET symptoms. Stimulation of sensory afferent nerve fibers at the wrist can potentially modulate the peripheral and central components of the tremor network. Although the Cala system is user-friendly, safe, and well-tolerated, the current clinical evidence on the efficacy is inconsistent and insufficient. Thus, more data is warranted for implementing peripheral nerve stimulation as a standard of care for ET.HighlightsThe current review discusses the rationale, background, and potential mechanisms for using peripheral arm stimulation devices for treating ET. The Cala system is a wrist-worn peripheral nerve stimulation device that received FDA clearance to treat arm tremors. The current review evaluates the evidence for the safety and efficacy of using the Cala system and similar devices in clinical practice.

Motor Signatures in Digitized Cognitive and Memory Tests Enhances Characterization of Parkinson's Disease.

Although interest in using wearable sensors to characterize movement disorders is growing, there is a lack of methodology for developing clinically interpretable biomarkers. Such digital biomarkers would provide a more objective diagnosis, capturing finer degrees of motor deficits, while retaining the information of traditional clinical tests. We aim at digitizing traditional tests of cognitive and memory performance to derive motor biometrics of pen-strokes and voice, thereby complementing clinical tests with objective criteria, while enhancing the overall characterization of Parkinson’s disease (PD). 35 participants including patients with PD, healthy young and age-matched controls performed a series of drawing and memory tasks, while their pen movement and voice were digitized. We examined the moment-to-moment variability of time series reflecting the pen speed and voice amplitude. The stochastic signatures of the fluctuations in pen drawing speed and voice amplitude of patients with PD show a higher signal-to-noise ratio compared to those of neurotypical controls. It appears that contact motions of the pen strokes on a tablet evoke sensory feedback for more immediate and predictable control in PD, while voice amplitude loses its neurotypical richness. We offer new standardized data types and analytics to discover the hidden motor aspects within the cognitive and memory clinical assays.