Interactive social robots in special education

Amanatiadis, Angelos; Kaburlasos, Vassilis G.; Dardani, Ch.; Chatzichristofis, Savvas A.

doi:10.1109/icce-berlin.2017.8210609

Cited by 41 publications

(29 citation statements)

References 25 publications

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“…The fusion of social robots in human life is undeniable, and their importance in human society is increasing [84]. Social robots have been applied in several domains including healthcare [88], education [89], business [90], and culture [91]. The user experience and acceptance of such robots varies in each domain and in different settings (e.g., after a brief initial interaction, as underlined in [92]).…”

Section: Challengesmentioning

confidence: 99%

User Experience in Social Robots

Shourmasti

Colomo‐Palacios

Holone

et al. 2021

Sensors

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Social robots are increasingly penetrating our daily lives. They are used in various domains, such as healthcare, education, business, industry, and culture. However, introducing this technology for use in conventional environments is not trivial. For users to accept social robots, a positive user experience is vital, and it should be considered as a critical part of the robots’ development process. This may potentially lead to excessive use of social robots and strengthen their diffusion in society. The goal of this study is to summarize the extant literature that is focused on user experience in social robots, and to identify the challenges and benefits of UX evaluation in social robots. To achieve this goal, the authors carried out a systematic literature review that relies on PRISMA guidelines. Our findings revealed that the most common methods to evaluate UX in social robots are questionnaires and interviews. UX evaluations were found out to be beneficial in providing early feedback and consequently in handling errors at an early stage. However, despite the importance of UX in social robots, robot developers often neglect to set UX goals due to lack of knowledge or lack of time. This study emphasizes the need for robot developers to acquire the required theoretical and practical knowledge on how to perform a successful UX evaluation.

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Section: Challengesmentioning

confidence: 99%

User Experience in Social Robots

Shourmasti

Colomo‐Palacios

Holone

et al. 2021

Sensors

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show abstract

“…The authors in [ 13 ] outline the significant importance of ER for educational communities and specify the ER term according to the core fields involved, namely education, robotics, and HCI (human–computer interaction). In [ 14 ], authors present the growth in assisted education using special-purposed social interaction games. More specifically, in [ 14 ], the authors present robot games in which kids with autism can interact with robots to evaluate the advantages of a more interactive therapy.…”

Section: Literature Reviewmentioning

confidence: 99%

skillsChain: A Decentralized Application That Uses Educational Robotics and Blockchain to Disrupt the Educational Process

Christodoulou

Andreou

Zinonos

2021

Sensors

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Our epoch is continuously disrupted by the rapid technological advances in various scientific domains that aim to drive forward the Fourth Industrial Revolution. This disruption resulted in the introduction of fields that present advanced ways to train students as well as ways to secure the exchange of data and guarantee the integrity of those data. In this paper, a decentralized application (dApp), namely skillsChain, is introduced that utilizes Blockchain in educational robotics to securely track the development of students’ skills so as to be transferable beyond the confines of the academic world. This work outlines a state-of-the-art architecture in which educational robotics can directly execute transactions on a public ledger when certain requirements are met without the need of educators. In addition, it allows students to safely exchange their skills’ records with third parties. The proposed application was designed and deployed on a public distributed ledger and the final results present its efficacy.

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“…Educational robots are also widely used in special education. The use of interactive social robots can improve children's behaviour while the robot-assisted treatment with imitation games encourage the response inhibition, cognitive flexibility and children's' joint attention [1]. Educational robots and robotic tools help special education students to practice and learn practical and cognitive skills, like collaboration and even gain self-confidence [2].…”

Section: Introductionmentioning

confidence: 99%

Future Teachers Choose Ideal Characteristics for Robot Peer-Tutor in Real Class Environment

Velentza

Pliasa

Fachantidis

2021

Communications in Computer and Information Science

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In the coming years teachers are going to use robots as learning tools in education because of their beneficial outcome in children's practical and cognitive skills even in special education. Apart from using social educational robots as a tool, teachers are expected to collaborate with them in many ways, even as a peer teacher in the learning procedure and get involved into the robots' design process. Although those procedures are progressive, in many cases, teachers cannot provide very useful feedback because they do not have prior experience with robots operating within the target environment. Therefore, it is important to identify the best way to accurately identify the teachers' needs. In this paper, we introduce the idea of actively involve the future teachers in the design process by having them watching a robot performing the target task. Our target is to find the ideal robot-tutor characteristics from the teachers' perspective in order to collaborate with it and we compare the future teachers' opinions about the ideal characteristics (Appearance, Intelligence, Emotional Expression etc.), when they are actually taught by a social robot and when they are taught by a human tutor. Participants had statistically significant different opinions about the robot's characteristics after each class, such as their preference for machinery robots after the human-class which is non-existent after the robot-class. Our results clearly suggest that teachers as robots' future users should interact with a similar robot performing the target task, in order to be able to accurately select the target robot characteristics.

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Interactive social robots in special education

Cited by 41 publications

References 25 publications

User Experience in Social Robots

User Experience in Social Robots

skillsChain: A Decentralized Application That Uses Educational Robotics and Blockchain to Disrupt the Educational Process

Future Teachers Choose Ideal Characteristics for Robot Peer-Tutor in Real Class Environment

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