Ramona Simut

CAN THE SOCIAL ROBOT PROBO HELP CHILDREN WITH AUTISM TO IDENTIFY SITUATION-BASED EMOTIONS? A SERIES OF SINGLE CASE EXPERIMENTS

Children with autism spectrum disorders have difficulties in identifying situation-based emotions, which is a fundamental ability for mind reading. Social robots received increased attention as assisting tools for improving the social and emotional skills of children with autism. This study investigates whether the social robot Probo can help children with autism spectrum disorders to enhance their performance in identifying situation-based emotions. Three participants (age between 5 and 6) diagnozed with autism spectrum disorders were included in a single case AB experimental design, with intersubjects replications. The results show that childrens performance improved with moderate to large effect sizes in identifying both sadness and happiness. Based on these results, we intend to perform more extensive investigations regarding the effectiveness of robot assisted therapy in improving social-emotional abilities for children with autism spectrum disorders.

How do typically developing children and children with autism perceive different social robots

The way ASD and TD children categorize robots was investigated.Which are the robots that children prefer was investigated.A robots categorization game implemented on a tablet device was developed.The fact that both TD and ASD children perceive robots mainly as toys was revealed.The fact that children prefer simplified robotic designs was revealed. This study investigates the way children categorize different robots and their preferences for certain robots. For this aim, a matching pictures game in which 6 social robots are to be matched to one of the categories: machines, humans, animals and toys, was developed and implemented on a tablet device. A mixed factorial design with one within-subjects variable (type of robots) and two between-subjects variables (type of development and gender) was used. The data suggest that both TD and ASD children perceive robots mainly as toys, while children with ASD also perceive robots as machines. A high diversity of preferences for different robots was revealed, but also a high preference for simplified designs, with exaggerated facial features. This study provides an innovative instrument for studying childrens perception about social robots, and offers valuable information, with implications on the design of social robots.

Social Robots vs. Computer Display: Does the Way Social Stories are Delivered Make a Difference for Their Effectiveness on ASD Children?

Background and Objectives: The aim of this exploratory study is to test whether social stories presented by a social robot have a greater effect than ones presented on a computer display in increasing the independency in expressing social abilities of children with autism spectrum disorders (ASD). Although much progress has been made in developing interventions to improve social skills of children with ASD, a number of unresolved problems still remain. Social robots received increased attention as assisting tools for improving social skills on children with ASD. Methods: Twenty children with ASD (age between 4 and 9 years old) were randomly allocated to three groups: control group (n = 7), computer-presented social stories (n = 6), and robot assisted therapy (n = 7). Results: Overall, our data indicate that using the social robot to implement social story intervention was more effective for improving the independency of expressing social abilities for the participants, than the computer screen. Limitations: Future studies should include a bigger sample size, more intervention sessions, and a follow-up session in order to see if the effect persists in time. Conclusions: The preliminary outcomes of this exploratory research provide empirical bases for further investigations regarding the effectiveness of robot assisted therapy in improving social skills for children with autism through future randomized clinical trials.

Children with Autism Spectrum Disorders Make a Fruit Salad with Probo, the Social Robot: An Interaction Study

AbstractSocial robots are thought to be motivating tools in play tasks with children with autism spectrum disorders. Thirty children with autism were included using a repeated measurements design. It was investigated if the children’s interaction with a human differed from the interaction with a social robot during a play task. Also, it was examined if the two conditions differed in their ability to elicit interaction with a human accompanying the child during the task. Interaction of the children with both partners did not differ apart from the eye-contact. Participants had more eye-contact with the social robot compared to the eye-contact with the human. The conditions did not differ regarding the interaction elicited with the human accompanying the child.

Probolino: A Portable Low-Cost Social Device for Home-Based Autism Therapy

Recent research has shown that social robots are beneficial in therapeutic interventions for children with autism in clinical environment. For the generalization of the skills learned in therapy sessions outside the clinic or laboratory, the therapeutic process needs to be continued at home. Therefore, social robotic devices should be designed with smaller sizes, lower costs, and higher levels of autonomy. This paper presents the development of Probolino, a portable and low-cost social robotic device based on the social robot Probo. The system functions as a “robotic cognitive orthotic” which is an intermediate step between a computer and a robot without motion. Interactive games are developed to help children with autism spectrum disorders make social decisions in daily activities. These activities are configured in a time-line by therapists or parents via a web interface. Probolino is expected to enhance the efficiency of current robot-assisted autism therapy.

Enhancing My Keepon robot: A simple and low-cost solution for robot platform in Human-Robot Interaction studies

Many robots capable of performing social behaviors have recently been developed for Human-Robot Interaction (HRI) studies. These social robots are applied in various domains such as education, entertainment, medicine, and collaboration. Besides the undisputed advantages, a major difficulty in HRI studies with social robots is that the robot platforms are typically expensive and/or not open-source. It burdens researchers to broaden experiments to a larger scale or apply study results in practice. This paper describes a method to modify My Keepon, a toy version of Keepon robot, to be a programmable platform for HRI studies, especially for robot-assisted therapies. With an Arduino microcontroller board and an open-source Microsoft Visual C# software, users are able to fully control the sounds and motions of My Keepon, and configure the robot to the needs of their research. Peripherals can be added for advanced studies (e.g., mouse, keyboard, buttons, PlayStation2 console, Emotiv neuroheadset, Kinect). Our psychological experiment results show that My Keepon modification is a useful and low-cost platform for several HRI studies.

ROBEE: A homeostatic-based social behavior controller for robots in Human-Robot Interaction experiments

This paper presents the development and implementation of Robee, a novel social behavior controller for robots with a focus on Human-Robot Interaction (HRI) studies. Using the homeostatic drive theory, Robee selects the behaviors in order to maintain the needs, mainly psychological and social, within an acceptable range. We propose a hybrid concept for the decision making process, which combines the hierarchical approach and Parallel-rooted, Ordered, Slip-stack Hierarchical (POSH) architecture. Emotions are mapped in a two-dimensional space consisting of valence and arousal. A joint attention HRI experiment with children and NAO robot has been conducted showing the usage of the controller. Robee is expected to be implemented in more robotic platforms.

A Collaborative Homeostatic-Based Behavior Controller for Social Robots in Human–Robot Interaction Experiments

Robots have been gradually leaving laboratory and factory environments and moving into human populated environments. Various social robots have been developed with the ability to exhibit social behaviors and collaborate with non-expert users in different situations. In order to increase the degree of collaboration between humans and the robots in human–robot joint action systems, these robots need to achieve higher levels of interaction with humans. However, many social robots are operated under teleoperation modes or pre-programmed scenarios. Based on homeostatic drive theory, this paper presents the development of a novel collaborative behavior controller for social robots to jointly perform tasks with users in human–robot interaction (HRI) experiments. Manual work during the experiments is reduced, and the experimenters can focus more on the interaction. We propose a hybrid concept for the behavior decision-making process, which combines the hierarchical approach and parallel-rooted, ordered, slip-stack hierarchical architecture. Emotions are associated with behaviors by using the two-dimensional space model of valence and arousal. We validate the usage of the behavior controller by a joint attention HRI scenario in which the NAO robot and a therapist jointly interact with children.

A Survey on Behavior Control Architectures for Social Robots in Healthcare Interventions

The use of Robot-Assisted Therapy (RAT) in healthcare interventions has increasingly received research attention. However, a lot of RAT studies are conducted under Wizard of Oz (WoZ) techniques in which the robots are teleoperated or pre-programmed. The trend of RAT is moving towards (partially) autonomous control in which the robot behavior control architecture plays a significant role in creating effective human–robot interaction by engaging and motivating human users into the therapeutic processes. This paper describes the state-of-the-art of the autonomous behavior control architectures currently developed for social robots in healthcare interventions, considering both clinical and exploratory studies. We also present certain requirements that an architecture used in RAT study should acquire, which provide roboticists and therapists an inspiration to orient their designs and implementations on the basis of their targeted RAT applications.

Do infants perceive the social robot Keepon as a communicative partner

This study investigates if infants perceive an unfamiliar agent, such as the robot Keepon, as a social agent after observing an interaction between the robot and a human adult. 23 infants, aged 9-17 month, were exposed, in a first phase, to either a contingent interaction between the active robot and an active human adult, or to an interaction between an active human adult and the non-active robot, followed by a second phase, in which infants were offered the opportunity to initiate a turn-taking interaction with Keepon. The measured variables were: (1) the number of social initiations the infant directed toward the robot, and (2) the number of anticipatory orientations of attention to the agent that follows in the conversation. The results indicate a significant higher level of initiations in the interactive robot condition compared to the non-active robot condition, while the difference between the frequencies of anticipations of turn-taking behaviors was not significant.