An Empathic Robotic Tutor for School Classrooms: Considering Expectation and Satisfaction of Children as End-Users

Alves‐Oliveira, Patrícia; Ribeiro, Tiago; Petisca, Sofia; Tullio, Eugenio Di; Melo, Francisco S.; Paiva, Ana

doi:10.1007/978-3-319-25554-5_3

Cited by 30 publications

(18 citation statements)

References 13 publications

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“…Tutoring or mentoring is a more specific type of teaching [89] where the robot's primary purpose is to instruct and guide learners by focusing on a specific subject, customizing the educational process. Nao was used as an empathetic tutor to instruct children on the design principles of sustainable cities [4]. Finally, a trainer can be more associated with a robot that trains the learner in one-on-one or small group interaction.…”

Section: Robo-ludens Taxonomymentioning

confidence: 99%

Robo Ludens

Muñoz

Dautenhahn

2021

J. Hum.-Robot Interact.

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The use of games as vehicles to study human-robot interaction (HRI) has been established as a suitable solution to create more realistic and naturalistic opportunities to investigate human behavior. In particular, multiplayer games that involve at least two human players and one or more robots have raised the attention of the research community. This article proposes a scoping review to qualitatively examine the literature on the use of multiplayer games in HRI scenarios employing embodied robots aiming to find experimental patterns and common game design elements. We find that researchers have been using multiplayer games in a wide variety of applications in HRI, including training, entertainment and education, allowing robots to take different roles. Moreover, robots have included different capabilities and sensing technologies, and elements such as external screens or motion controllers were used to foster gameplay. Based on our findings, we propose a design taxonomy called Robo Ludens, which identifies HRI elements and game design fundamentals and classifies important components used in multiplayer HRI scenarios. The Robo Ludens taxonomy covers considerations from a robot-oriented perspective as well as game design aspects to provide a comprehensive list of elements that can foster gameplay and bring enjoyable experiences in HRI scenarios.

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Section: Robo-ludens Taxonomymentioning

confidence: 99%

Robo Ludens

Muñoz

Dautenhahn

2021

J. Hum.-Robot Interact.

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“…There are also some validated measures of responses and acceptance of robots (such as Negative Attitudes towards Robots Scale [ 18 ], Robotic Social Attributes Scale [ 19 ], Ethical Acceptability Scale [ 20 ], Technology-Specific Expectation Scale [ 21 ], Frankenstein Syndrome Questionnaire [ 22 ], Multi-Dimensional Robot Attitude Scale [ 23 ] or Attitudes Towards Social Robots Scale [ 24 ]), yet they do not focus on the care needs of older adults [ 25 ]. Valid and reliable tools to assess older persons’ needs and requirements regarding the properties and functions of a robot to be deployed in care are thus needed.…”

Section: Introductionmentioning

confidence: 99%

UNRAQ—A Questionnaire for the Use of a Social Robot in Care for Older Persons. A Multi-Stakeholder Study and Psychometric Properties

Tobis

Neumann-Podczaska

Kropińska

et al. 2021

IJERPH

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(1) Background: while there exist validated measures to assess the needs of older people, there are comparatively few validated tools to assess needs and requirements for the use of robots. Henceforth, the aim of the study is to present and validate such a tool. (2) Methods: The study group included 720 subjects (mean age 52.0 ± 37.0, 541 females) who agreed to fill the Users’ Needs, Requirements, and Abilities Questionnaire (UNRAQ). The validation part of the study included 125 persons. (3) Results: the acceptance of the robot was good in the whole group. The social functions were rated worse than assistive ones. A correlation was found between the scores of social and assistive functions. The respondents claimed that older adults were not prepared to interact with the robot and not very good at handling it, and were sceptical about their willingness to learn to operate the robot. The Cronbach alpha value for the whole questionnaire was 0.95 suggesting excellent internal consistency, and the ICC value of 0.88 represents excellent agreement; (4) Conclusions: We observed a good overall acceptance of the robot across the studied group. There is considerable demand for the use of a social robot in care for older people.

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“…When asked to rate their satisfaction level after the experience of the learning interaction with the empathic tutor, their satisfaction levels were also considerably high. Thus, this study demonstrates that children feel satisfied to learn with an empathic robotic tutor [1].…”

Section: Emote: Creating Robotic Tutors With Empathymentioning

confidence: 53%