Cognitive robotics for the modelling of cognitive dysfunctions: A study on unilateral spatial neglect

© 2015 IEEE. Damage to the posterior parietal cortex (PPC) can cause patients to fail to orient toward, explore, and respond to stimuli on the contralesional side of the space. PPC is thought to play a crucial role in the computation of sensorimotor transformations that is in linking sensation to action. Indeed, this disorder, known as Unilateral Spatial Neglect (USN), can compromise visual, auditory, tactile, and olfactory modalities and may involve personal, extra-personal, and imaginal space [1], [2]. For this reason, USN describes a collection of behavioural symptoms in which patients appear to ignore, forget, or turn away from contralesional space [3]. Given the complexity of the disease and the difficulties to study human patients affected by USN, because of their impairments, several computer simulation studies were carried out via artificial neural networks in which damage to the connection weights was also found to yield neglect-related behaviour [4]-[6]

Motivation and personality traits for choosing religious tourism. A research on the case of Medjugorje.

Religion has long been a primary motivation for journeys and it is considered the oldest non-economic reason for travelling. The purpose of this paper is to investigate the reasons tourists choose to travel to sacred sites, with the specific aim of discovering relationships between personality traits and motivations for religious travel. Participating in the research were 679 Italian travellers to Medjugorje sanctuary, who completed the travel motivation scale and big five questionnaire. The results show that motivation is focused prevalently on the need for discovery in men and socialisation in women. Multiple regression analyses demonstrated that personality traits are predictive of motivation factors differently for males and females

Do personality traits and self-regulatory processes affect decision-making tendencies?

Objective: This research attempted to clarify the role played by personality traits and self-regulated motivation in affecting decision-making tendencies. Method: Study 1 (n = 209) examined whether the Big Five personality traits predict minimising, maximising, and satisficing tendencies; Study 2 (n = 460) tested the mediating role of self-regulatory orientations in the relationship between personality traits and decision-making tendencies by performing structural equation modelling with latent variables. Results: Conscientiousness emerged as the strongest positive predictor of maximising, whereas openness to experience, conscientiousness, and agreeableness emerged as negative predictors of satisficing. As for the mediational model, both locomotion and assessment played a role in mediating the relationships between the personality traits and decision-making tendencies. Conclusions: This research provided interesting insights into the underlying motivations and strategies that lead individuals to maximise, satisfice, or minimise

Decisional procrastination in academic settings: The role of metacognitions and learning strategies

Nowadays, university students suffer from a broad range of problems, such as educational underachievement or the inability to control themselves, that lead to procrastination as a consequence. The present research aimed at analyzing the determinants of decisional procrastination among undergraduate students and at assessing a path model in which self regulated learning strategies mediated the relationship between metacognitive beliefs about procrastination and decisional procrastination. 273 students from Southern Italy filled out a questionnaire composed by: the socio-demographic section, the Metacognitive Beliefs About Procrastination Questionnaire, the procrastination subscale of the Melbourne Decision Making Questionnaire, and the Anxiety, the Time Management, and the Information Processing subscales of the Learning and Study Strategies Inventory. Results showed that the relationship between negative and positive metacognitive beliefs about procrastination and decisional procrastination was mediated only by time management and anxiety. Such findings underlined the crucial role played by learning strategies in predicting the tendency to delay decisional situations and in mediating the relationship between metacognitive beliefs about procrastination and decisional procrastination

Brief review of robotics in low-functioning autism therapy

© 2020 CEUR-WS. All rights reserved. In the last decade, numerous research studies showed that robots can be suitable assistants in the care and treatment of children with Autism Spectrum Disorder (ASD). Still, more investigation is required to fully assess the introduction of robotics assistants, as the majority of the studies was limited in numbers of participants and scope, e.g. by considering stand-alone interventions, High Functioning Autism (HFA) individuals only, and provided limited objective results, i.e. usually the success is evaluated via qualitative analysis of videos recorded during the interaction. In this paper, we present a brief review of the experience on integrating robotassisted therapy also in the treatment of children with Low-Functioning Autism (LFA) which is the most common case (>70%). Studies described here investigated the integration of a robot-assisted intervention in the training, and the results encourage the use of a robotic assistant also in LFA. Based on this experience, we suggest that current robotic technology is still at an experimental stage and require to actively involve all stakeholders in design of new robotic systems that can successfully account for the peculiar characteristics of ASD individuals

An empirical study on integrating a small humanoid robot to support the therapy of children with Autism Spectrum Disorder and intellectual disability

Recent research showed the potential benefits of robot-assisted therapy in treating children with Autism Spectrum Disorder. These children often have some form of Intellectual Disability (ID) too, but this has mainly been neglected by previous robotics research. This article presents an empirical evaluation of robot-assisted imitation training, where the child imitated the robot, integrated into the Treatment and Education of Autistic and related Communication handicapped Children (TEACCH) program. The sample included six hospitalized children with different levels of ID, from mild to profound. We applied mixed methods to assess their progress, during treatment and three months later. Results show increased Gross Motor Imitation skills in the children, except for those with profound ID and the therapists' positive attitude towards the humanoid robot. Furthermore, the therapists suggest how a robot could be used to autonomously collect and analyze the information obtained in the rehabilitation training for a continuous evaluation of the participants

The use of new mobile and gaming technologies for the assessment and rehabilitation of people with ataxia: a systematic review and meta-analysis

There are no currently available disease-modifying pharmacological treatments for most of the chronic hereditary ataxias; thus, effective rehabilitative strategies are crucial to help improve symptoms and therefore the quality of life. We propose to gather all available evidence on the use of video games, exergames, and apps for tablet and smartphone for the rehabilitation, diagnosis, and assessment of people with ataxias. Relevant literature published up to June 8, 2020, was retrieved searching the databases PubMed, ISI Web of Science, and the Cochrane Database. Data were extracted using a standardized form, and their methodological quality was assessed using RoB and QUADAS-2. Six studies of 434 retrieved articles met the predefined inclusion/exclusion criteria. Two of them were diagnostic, while 4 were experimental studies. Studies included participants ranging from 9 to 28 in trials and 70 to 248 in diagnostic studies. Although we found a small number of trials and of low methodological quality, all of them reported an improvement of motor outcomes and quality of life as measured by specific scales, including the SARA, BBS, DHI, and SF-36 scores. The main reason for such low quality in trials was that most of them were small and uncontrolled, thus non-randomized and unblinded. As video games, exergames, serious games, and apps were proven to be safe, feasible, and at least as effective as traditional rehabilitation, further and more high-quality studies should be carried out on the use of these promising technologies in people with different types of ataxia

Influenza degli aspetti socio-demografici e delle caratteristiche di personalità sulla scelta di partecipare ad un corso di accompagnamento alla nascita e sull’esito del parto

Pregnancy is a crucial stage of the woman’s lifespan, with conflicting aspects which could have negative outcome in delivery. In the transition toward motherhood the woman is offered the opportunity to attend prenatal courses; but small empically-based knowledge exists about the psychological factors influencing the choice to participate in these courses. The aim of this study was to assess socio-demographic factors and personality characteristics influencing the decision to attend an accompanying birth course and the relation between these variables and the pregnancy development and outcome. For this purpose, 71 pregnant women, divided in two groups according to the willingness to attend a prenatal course, were submitted a structured interview and Big Five Questionnaire. The results showed significant differences concerning level of education and personality profiles, particularly perseverance and openness to experience, which could have a role in influencing the choice to participate in antenatal classes. The results regarding delivery (term or preterm; type of delivery; Apgar index (score), weight, length of newborn) didn’t show significant differences between the two group

Transcribed ultraconserved noncoding RNAs (T-UCR) are involved in Barrett's esophagus carcinogenesis.

Barretts esophagus (BE) involves a metaplastic replacement of native esophageal squamous epithelium (Sq) by columnar-intestinalized mucosa, and it is the main risk factor for Barrett-related adenocarcinoma (BAc). Ultra-conserved regions (UCRs) are a class non-coding sequences that are conserved in humans, mice and rats. More than 90% of UCRs are transcribed (T-UCRs) in normal tissues, and are altered at transcriptional level in tumorigenesis. To identify the T-UCR profiles that are dysregulated in Barretts mucosa transformation, microarray analysis was performed on a discovery set of 51 macro-dissected samples obtained from 14 long-segment BE patients. Results were validated in an independent series of esophageal biopsy/surgery specimens and in two murine models of Barretts esophagus (i.e. esophagogastric-duodenal anastomosis). Progression from normal to BE to adenocarcinoma was each associated with specific and mutually exclusive T-UCR signatures that included up-regulation of uc.58-, uc.202-, uc.207-, and uc.223- and down-regulation of uc.214+. A 9 T-UCR signature characterized BE versus Sq (with the down-regulation of uc.161-, uc.165-, and uc.327-, and the up-regulation of uc.153-, uc.158-, uc.206-, uc.274-, uc.472-, and uc.473-). Analogous BE-specific T-UCR profiles were shared by human and murine lesions. This study is the first demonstration of a role for T-UCRs in the transformation of Barretts mucosa

Social robots as psychometric tools for cognitive assessment: a pilot test

Recent research demonstrated the benefits of employing robots as therapeutic assistants and caregivers, but very little is known on the use of robots as a tool for psychological assessment. Socially capable robots can provide many advantages to diagnostic practice: engage people, guarantee standardized administration and assessor neutrality, perform automatic recording of subject behaviors for further analysis by practitioners. In this paper, we present a pilot study on testing people’s cognitive functioning via social interaction with a humanoid robot. To this end, we programmed a social robot to administer a psychometric tool for detecting Mild Cognitive Impairment, a risk factor for dementia, implementing the first prototype of robotic assistant for mass screening of elderly population. Finally, we present a pilot test of the robotic procedure with healthy adults that show promising results of the robotic test, also compared to its traditional paper version