Daniela Conti

Robots in education and care of children with developmental disabilities : a study on acceptance by experienced and future professionals

Research in the area of robotics has made available numerous possibilities for further innovation in the education of children, especially in the rehabilitation of those with learning difficulties and/or intellectual disabilities. Despite the scientific evidence, there is still a strong scepticism against the use of robots in the fields of education and care of people. Here we present a study on the acceptance of robots by experienced practitioners (specialized in the treatment of intellectual disabilities) and university students in psychology and education sciences (as future professionals). The aim is to examine the factors, through the Unified Theory of Acceptance and Use of Technology (UTAUT) model, that may influence the decision to use a robot as an instrument in the practice. The overall results confirm the applicability of the model in the context of education and care of children, and suggest a positive attitude towards the use of the robot. The comparison highlights some scepticism among the practitioners, who perceive the robot as an expensive and limited tool, while students show a positive perception and a significantly higher willingness to use the robot. From this experience, we formulate the hypothesis that robots may be accepted if more integrated with standard rehabilitation protocols in a way that benefits can outweigh the costs.

Use of robotics to stimulate imitation in children with Autism Spectrum Disorder: A pilot study in a clinical setting

Autism Spectrum Disorder (ASD) is a condition in which deficits in social interaction and social communication can make everyday life difficult. The use of mechanical and electronic devices has proven to be effective in ASD therapy and recently Socially Assistive Robotics (SAR) research has suggested that robots are promising tools for the treatment of this disorder. Starting from these findings, our on-going research aims to identify effective modalities for treatment of ASD through interaction with a robot, and to integrate them into existing therapeutic protocols to improve their efficacy. In this paper we present some preliminary findings of our current work towards this objective. We detail the methodology and give the results of a pilot clinical trial, focused on imitation skills, with three children affected by ASD and Intellectual Disability (ID) under treatment in a research centre specialized in the care of children with disabilities. The success of the experiment suggests that the robot can be effectively integrated in the ASD therapies currently used in the centre. Analysis of these initial results encourages the development of effective protocols in which the robot becomes a mediator between the child with ASD and humans and suggests some research avenues for focus in the future.

A cross-cultural study of acceptance and use of robotics by future psychology practitioners

Research in robotics has made available numerous possibilities and tools for further innovation in the psychological practice. For instance, recent research provided many examples of possible applications of robots in the education and rehabilitation of people with learning difficulties and/or intellectual disabilities. In this paper, we present a study on how cultural backgrounds can influence the perception and intention to use a robot as an instrument in the future practice. The study involved 37 Italian students and 37 UK students, as future professionals in the field of psychology, which experienced the actual capabilities of a humanoid robot through a live demo. In this work, we explored the main factors of the Unified Theory of Acceptance and Use of Technology (UTAUT) with the aim to reveal cultural differences. The instrument used was the UTAUT questionnaire, which was designed and validated to investigate the robot acceptance and use. A significant difference on the intention to use the robot is reported in our results. The discriminant analysis produced a very high degree of separation between the two groups, confirming that there is a different approach toward the use of robotics between the two cultures.

Lateral specialization in unilateral spatial neglect: a cognitive robotics model.

AbstractIn this paper, we present the experimental results of an embodied cognitive robotic approach for modelling the human cognitive deficit known as unilateral spatial neglect (USN). To this end, we introduce an artificial neural network architecture designed and trained to control the spatial attentional focus of the iCub robotic platform. Like the human brain, the architecture is divided into two hemispheres and it incorporates bio-inspired plasticity mechanisms, which allow the development of the phenomenon of the specialization of the right hemisphere for spatial attention. In this study, we validate the model by replicating a previous experiment with human patients affected by the USN and numerical results show that the robot mimics the behaviours previously exhibited by humans. We also simulated recovery after the damage to compare the performance of each of the two hemispheres as additional validation of the model. Finally, we highlight some possible advantages of modelling cognitive dysfunctions of the human brain by means of robotic platforms, which can supplement traditional approaches for studying spatial impairments in humans.

A Comparison of Kindergarten Storytelling by Human and Humanoid Robot with Different Social Behavior

In this paper, we present a study on the influence of different social behavior on preschool childrens perception of stories narrated either by a humanoid robot or by a human teacher. Four conditions were considered: static human, static robot, expressive human and expressive robot. Two stories, with knowledge and emotional content, were narrated in two different encounters. After each story, children draw what they remember of the story. We examined drawings of 81 children to study whether the sociability of the teacher (robot or human) could influence elements and details recorded. Results suggest a positive effect of the expressive behavior in robot storytelling, whose efficacy is comparable to the human with the same behavior or better if the expressive robot is compared with a static inexpressive human.

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.

A Social Robot for Cognitive Assessment

In this paper, we present our ongoing research on robots as a screening tool for potential cognitive impairment, a risk factor for dementia and other mental diseases. We implemented a psychometric test on a state-of-the-art social robot, realizing a cognitive assessment via Human-Robot Interaction (HRI), and we compared it to the traditional paper-and-pencil testing. Our goal was to test the feasibility of this procedure and collect information about novel technology applied in psychological assessment. Results suggest that the goal is achievable under professional supervision, but the technology needs further work and refinement for a fully autonomous assessment.

Adapting Robot-Assisted Therapy of Children with Autism and Different Levels of Intellectual Disability: A Preliminary Study

Autism Spectrum Disorder (ASD) is a complex developmental disorder that requires personalising the treatment to the personal condition, in particular for individuals with Intellectual Disability (ID), which are the majority of those with ASD. In this paper, we present a preliminary analysis of our on-going research on personalised care for children with ASD and ID. The investigation focuses on integrating a social robot within the standard treatment in which tasks and level of interaction are adapted to the ID level of the individual and follow his progress after the rehabilitation.

Evaluation of a Robot-Assisted Therapy for Children with Autism and Intellectual Disability

It is well established that robots can be suitable assistants in the care and treatment of children with Autism Spectrum Disorder (ASD). However, the majority of the research focuses on stand-alone interventions, high-functioning individuals and the success is evaluated via qualitative analysis of videos recorded during the interaction.

Comparison of the CBA-H and SF-36 for the screening of the psychological and behavioural variables in chronic dialysis patients

The aim of the study was to perform an analysis of the emotional reactions, perception of stressful life and behavioural changes related to Haemodialysis (HD) in order to identify those variables that can improve lifestyle and the adherence to treatment. Some psychometric assessment, such as the Cognitive Behavioural Assessment, Hospital Form, (CBA-H) and the Health Survey (SF-36), which provides two indexes: the Physical Component Score (PCS) and the Mental Component Score (MCS), are suitable to assess a patient’s psychological and behavioural style and their health-related quality of life. The study involved 37 Italian out-patients with end-stage renal disease under HD therapy. We calculated the Spearman correlation between variables of CBA-H, SF-36, age and time on HD. We also performed a multivariate linear regression using the CBA-H variables as predictors and PCS and MCS as dependent variables. From the CBA-H, 95% of participants self-reported psychological characteristics comparable to Type A personality, which identifies an anxious, hyperactive and hostile subject. Physical limitations were found to be directly proportional to the time on dialysis (rs = -0.42). The condition of perceived stress worsens the state of mental health (rs = -0.68) and general health perception (rs = -0.44). The condition of vital exhaustion correlates both the PCS and the MCS (p<0.01) with possible outcomes of physical and mental illness. The psychological wellbeing of a dialyzed patient could be due to the combination of several factors, including life parameters, the positive perception of psychosocial outcomes, and the perceived quality of life. A multidisciplinary team (neurologists, psychiatrists, psychologists, and nurses) is essential to plan effective psychological and psychotherapeutic interventions to improve a mind-body integration.