Enhancing Long-term Children to Robot Interaction Engagement through Cloud Connectivity

Albó-Canals, Jordi; Fernández-Baena, Adso; Boldú, Roger; Barco, Àlex; Navarro, Joan; Miralles, David; Raya, Cristóbal; Ángulo, Cecilio

doi:10.1145/2701973.2702045

Cited by 7 publications

(5 citation statements)

References 5 publications

(5 reference statements)

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“…verbal interaction, active gesturing, physical contact) is important to be structured if our intent is children with ASD to gain social interaction and skills (Yuen et al, 2014). Teamwork strategies are strongly recommended to be presented by visual stimuli in order for the participation of children with ASD to be effective Albo-Canals et al, 2015). Specific strategies that could impose a specific structure on how children with ASD could interact with peers during teamwork inclusive educational robotic activities need to be developed especially for children with ASD in Level 2 that need substantial support for effective collaboration (American Psychiatric Association, DSM 5, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

The Sas Strategy Training for Children With Asd in Inclusive Educational Robotics Activities

Nanou

Tsiomi

Οικονόμου

et al. 2022

EID

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Educational Robotics in inclusive learning environments creates a wide area of research where innovative teaching practices and theoretical approaches are developed and investigated in order for the new growing educational challenges to be met. In this context, an educational intervention research was carried out using mixed research methodology. The aim of the research was to investigate the effect of the“SAS Strategy Training” a strategy that developed to foster the participation of children with autism, at level 2, in inclusive teamwork with peers during construction and programming LEGO Mindstorms. 2 children, 10-11 years old, diagnosed with autism, at level 2, participated in two inclusive educational robotics teams with typical peers. Τhe SaS Strategy has been integrated in the collaboration script that was designed to support the interaction between the team members during their collaboration on programming LEGO Mindstorms. The “SaS Strategy Training” had encouraging results in reducing the barriers of the participation of the children with autism in teamwork with their typical peers. Critical questions, reflections and new research horizons emerged.

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Section: Literature Reviewmentioning

confidence: 99%

The Sas Strategy Training for Children With Asd in Inclusive Educational Robotics Activities

Nanou

Tsiomi

Οικονόμου

et al. 2022

EID

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“…The European Commission's Robotics for Healthcare Roadmap defines healthcare robotics as "the domain of systems able to perform coordinated mechatronic actions (force or movement exertions) on the basis of processing of information acquired through sensor technology, with the aim to support the functioning of impaired individuals, medical interventions, care and rehabilitation of patients and also to support individuals in prevention programs". A particularly prominent area of development are healthcare robots that interact cognitively and socially with humans in healthcare environments, including, for example, projects that aim to foster child well-being in medical facilities through engagement with pet robots [20], provide robots for assistance or companionship in elderly care [19] or employ robots for educational purposes [21].…”

Section: Cloud Robotics In Healthcarementioning

confidence: 99%

Cloud services for robotic nurses? Assessing legal and ethical issues in the use of cloud services for healthcare robots

Fosch‐Villaronga

Felzmann

Ramos-Montero

et al. 2018

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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This paper explores ethical and legal implications arising from the intertwinement of cloud services, healthcare and robotics in recent developments towards increasing reliance on cloud-based services for healthcare robots. It closes an existing gap in the literature by highlighting the distinctive ethical and legal concerns associated with the interdependence of the cyber-and the physical aspects of healthcare cloud robotics. The identified core concerns include uncertainties with regard to data protection requirements; distributed responsibilities for robot behavior; the achievement of transparency and meaningful consent for cloud robot services especially for vulnerable robot users; secondary uses of cloud data derived from robot activities; data security; and wider social issues such as the digital divide and the assignment of responsibilities for social consequences to robot designers. The paper aims to raise awareness and stimulate reflection with regard to the legal and ethical impacts on different stakeholders arising from the use of cloud services in healthcare robotics. It shows that due to the complexity of these concerns the design and implementation of such robots in healthcare requires an interdisciplinary development and impact assessment process. In light of legal requirements and ethical responsibilities towards end-users and other stakeholders, we draw special attention to practical considerations that engineers should be cognizant of when developing cloud services for robots in the healthcare field.

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“…The cloud architecture helps maximize the effectiveness of the shared resources of the robotic system that is connected to a network [56]. In particular, the cloud-based infrastructure allows:…”

Section: Service Robots 150mentioning

confidence: 99%

Implications of the Google’s US 8,996,429 B1 Patent in Cloud Robotics-Based Therapeutic Researches

Fosch‐Villaronga¹,

Albó-Canals²

2018

Service Robots

Self Cite

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Intended for being informative to both legal and engineer communities, this chapter raises awareness on the implications of recent patents in the field of human-robot interaction (HRI) studies. Google patented the use of cloud robotics to create robot personality(-ies). The broad claims of the patent could hamper many HRI research projects in the field. One of the possible frustrated research lines is related to robotic therapies because the personalization of the robot accelerates the process of engagement, which is extremely beneficial for robotic cognitive therapies. This chapter presents, therefore, the scientific examination, description, and comparison of the Tufts University CEEO project "Data Analysis and Collection through Robotic Companions and LEGO ® Engineering with Children on the Autism Spectrum project" and the US 8,996,429 B1 Patent on the Methods and Systems for Robot Personality Development of Google. Some remarks on ethical implications of the patent will close the chapter and open the discussion to both communities.

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Enhancing Long-term Children to Robot Interaction Engagement through Cloud Connectivity

Cited by 7 publications

References 5 publications

The Sas Strategy Training for Children With Asd in Inclusive Educational Robotics Activities

The Sas Strategy Training for Children With Asd in Inclusive Educational Robotics Activities

Cloud services for robotic nurses? Assessing legal and ethical issues in the use of cloud services for healthcare robots

Implications of the Google’s US 8,996,429 B1 Patent in Cloud Robotics-Based Therapeutic Researches

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