PeppeRecycle
Improving Children’s Attitude Toward Recycling by Playing with a Social Robot
Bibliographic Data
| ID | 21199550 |
|---|---|
| Authors | Giovanna Castellano (0000-0002-6489-8628, University of Bari Aldo Moro), Berardina De Carolis (0000-0002-2689-137X, University of Bari Aldo Moro, corresponding author), Francesca D’errico (0000-0002-8957-665X, University of Bari Aldo Moro), Nicola Macchiarulo (0000-0002-3754-9991, University of Bari Aldo Moro), Veronica Rossano (0000-0002-4079-9641, University of Bari Aldo Moro) |
| Year | 2021 |
| Volume | 13 |
| Issue | 1 |
| Pages | 97-111 |
| Publication date | 2021-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Social Robotics (JOURNAL) |
| Journal identifiers | ISSN: 1875-4791 • E-ISSN: 1875-4805 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s12369-021-00754-0 |
| OpenAlex | W3129913153 |
| Language | EN |
| Citations received | 7 |
| References cited | 61 |
In this paper, we investigate the use of a social robot as an engaging interface of a serious game intended to make children more aware and well disposed towards waste recycle. The game has been designed as a competition between the robot Pepper and a child. During the game, the robot simultaneously challenges and teaches the child how to recycle waste materials. To endow the robot with the capability to play as a game opponent in a real-world context, it is equipped with an image recognition module based on a Convolutional Neural Network to detect and classify the waste material as a child would do, i.e. by simply looking at it. A formal experiment involving 51 primary school students is carried out to evaluate the effectiveness of the game in terms of different factors such as the interaction with the robot, the users’ cognitive and affective dimensions towards ecological sustainability, and the propensity to recycle. The obtained results are encouraging and draw promising scenarios for educational robotics in changing children’s attitudes toward recycling. Indeed Pepper turns out to be positively evaluated by children as a trustful and believable companion and this allows children to be concentrated on the “memorization” task during the game. Moreover, the use of real objects as waste items during the game turns out to be a successful approach not only for perceived learning effectiveness but also for the children’s engagement
Educational robotics · Human–computer interaction · Mathematics education · Memorization · Mobile robot · Multimedia · Robot · Robot control · Robotics · Social robot · Child and Animal Learning Development · Computer Science · Engineering · Environmental Education and Sustainability · Innovative Human-Technology Interaction · Psychology · Artificial Intelligence
Interactive Educational Toy Design Strategies for Promoting Young Children’s Garbage-Sorting Behavior and Awareness
The Child Factor in Child–Robot Interaction
A mini imitation game
“Storytelling and educational robotics
Increasing lower incomes and reducing material deprivation
How Could Social Robots Support Societal Participation? Findings from Five Design Workshops with Young People
Explaining solid waste management behaviours among public high-school students
Fully convolutional networks for semantic segmentation
Children Teach a Care-Receiving Robot to Promote Their Learning
Children conform, adults resist
ImageNet
Statistics notes
Digital Game-Based Learning in high school Computer Science education
Assistive social robots in elderly care
ImageNet classification with deep convolutional neural networks
Challenging games help students learn
Technology Acceptance Model 3 and a Research Agenda on Interventions
User Acceptance of Computer Technology
Developing Kaspar
A Pilot Study with a Novel Setup for Collaborative Play of the Humanoid Robot Kaspar with Children with Autism
Persuasive Robots Acceptance Model (PRAM)
Gaming for Earth
Social Robots for Long-Term Interaction
The Humanoid Robot NAO as Trainer in a Memory Program for Elderly People with Mild Cognitive Impairment
| Unique citing works | 7 |
|---|---|
| Citations per year | 2,33 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 7 |