Social Robot Selection: A Case Study in Education

Author(s):  
George A. Papakostas ◽  
Athanasios K. Strolis ◽  
Fotis Panagiotopoulos ◽  
Charalabos N. Aitsidis
Keyword(s):  
Author(s):  
Erfan Ashtari ◽  
Mohammad Amin Basiri ◽  
Saeid Mohammadi Nejati ◽  
Hemen Zandi ◽  
Seyyed Hossein SeyyedAghaei Rezaei ◽  
...  

2021 ◽  
Author(s):  
Yvonne Zwaagstra ◽  
Marije Verhoef ◽  
Linda Schippers ◽  
Marije Hendriks ◽  
Algonda de Reus ◽  
...  

2020 ◽  
pp. 136749352094750
Author(s):  
Clara J Moerman ◽  
Rianne ML Jansens

Hospitalisation is stressful for children. Play material is often offered for distraction and comfort. We explored how contact with social robot PLEO could positively affect a child’s well-being. To this end, we performed a multiple case study on the paediatric ward of two hospitals. Child life specialists offered PLEO as a therapeutic activity to children in a personalised way for a well-being related purpose in three to five play like activity sessions during hospital visits/stay. Robot–child interaction was observed; care professionals, children and parents were interviewed. Applying direct content analysis revealed six categories of interest: interaction with PLEO, role of the adults, preferences for PLEO, PLEO as buddy, attainment of predetermined goal(s) and deployment of PLEO. Four girls and five boys, aged 4–13, had PLEO offered as a relief from stress or boredom or for physical stimulation. All but one started interacting with PLEO and showed behaviours like hugging, caring or technical exploration, promoting relaxation, activation and/or making contact. Interaction with PLEO contributed to achieving the well-being related purpose for six of them. PLEO was perceived as attractive to elicit play. Although data are limited, promising results emerge that the well-being of hospitalised children might be fostered by a personalised PLEO offer.


2017 ◽  
Vol 10 (1) ◽  
pp. 163-176 ◽  
Author(s):  
Michał Dziergwa ◽  
Mirela Kaczmarek ◽  
Paweł Kaczmarek ◽  
Jan Kędzierski ◽  
Karolina Wadas-Szydłowska

2020 ◽  
Vol 20 (1) ◽  
pp. 1-16
Author(s):  
Sally Whelan ◽  
Megan Burke ◽  
Eva Barrett ◽  
Arlene Mannion ◽  
Tanja Kovacic ◽  
...  

Author(s):  
Azadeh Shariati ◽  
Mojtaba Shahab ◽  
Ali Meghdari ◽  
Ali Amoozandeh Nobaveh ◽  
Raman Rafatnejad ◽  
...  

Biomimetics ◽  
2019 ◽  
Vol 4 (4) ◽  
pp. 74
Author(s):  
Ujjwal K. C. ◽  
Jacques Chodorowski

The rise of robots and robotics has proved to be a benefaction to humankind in different aspects. Robotics evolved from a simple button, has seen massive development over the years. Consequently, it has become an integral part of human life as robots are used for a wide range of applications ranging from indoor uses to interplanetary missions. Recently, the use of social robots, in commercial indoor spaces to offer help or social interaction with people, has been quite popular. As such, taking the increasing use of social robots into consideration, many works have been carried out to develop the robots to make them capable of acting like humans. The notion behind this development is the need for robots to offer services without being asked. Social robots should think more like humans and suggest possible and suitable actions by analyzing the environment where they are. Belief–desire–intention (BDI) is one of the most popular models for developing rational agents based on how humans act based on the information derived from an environment. As such, this work defines a foundation architecture to integrate a BDI framework into a social robot to add “act like a human” feature for proactive behaviors. The work validates the proposed architecture by developing a vision-based proactive action using the PROFETA BDI framework in an indoor social robot, Waldo, operated by the robot operating system (ROS).


2021 ◽  
Vol 2096 (1) ◽  
pp. 012070
Author(s):  
N Kimr ◽  
N Bodunkov ◽  
J Sinyavskaya

Abstract This paper discusses structuring of hardware and software for an autonomous social robot. It shows that the real-world social robot operations face the challenge of environmental variability and uncertainty of the objective parameters. Thus, a social robot must be capable of situation analysis for better autonomy. We propose a modular distributed structure of the control system. Separate modules monitor the status and control the subsystems of the robot. General coordination of subsystems is provided by the Supervisor module. For the robot to function autonomously, the Supervisor must be capable of situation analysis and its key functions: objective retrieval and analysis, situation description, configuring and strategizing the solution. The robot’s sensory inputs help acquire the objective and its parameters to describe the situation. Description relies on the database of a priori knowledge of the environment and its objects. Analysis is linked to a reduction in the uncertainty of the objective parameters and situation description. For a case study, the paper demonstrates a maze-solving strategy as affected by the situation.


2015 ◽  
Vol 8 (14) ◽  
Author(s):  
Lykke Brogaard Bertel ◽  
Glenda Hannibal

The application of social robots as motivational tools and companions in education is increasingly being explored from a theoretical and practical point of view. In this paper, we examine the social robot NAO as a Persuasive Educational and Entertainment Robot (PEER) and present findings from a case study on the use of NAO to support learning environments in Danish primary schools.In the case study we focus on the children’s practice of articulation and embodied interaction with NAO and investigate the role of NAO as a ‘tool’, ‘social actor’ or ‘simulating medium’ in the learning designs. We examine whether this categorization is static or dynamic, i. e. develops and changes over the course of the interaction and explore how this relates to and affects the student’s motivation to engage in the NAO-supported learning activities.


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