Community Based Robot Design for Classrooms with Mixed Visual Abilities Children

Published: May 6, 2021

Visually impaired children (VI) face challenges in collaborative learning classrooms. Robots have the potential to support inclusive classroom experiences by leveraging their physicality, bespoke social behaviors, sensors, and multimodal feedback. However, design of robots for mixed-visual abilities classrooms remains mostly unexplored. This paper presents a four-month-long community-based process where we engaged with school community. We provide insights into barriers experienced how can address them. also report on participatory activity children, highlighting expected roles, attitudes, physical characteristics robots. Findings contextualize within settings as holistic solution that interact anywhere when needed suggest broader view inclusion beyond disability. These include children's personality traits, technology access, mastery subjects. finish providing reflections process.

Language: Английский

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Robocamp at Home

Published: March 9, 2023

Social robots are becoming important agents in several sectors of people's lives. They can act different contexts, e.g., public spaces, schools, and homes. Operating, programming interacting with these will be an essential skill the future. We present a qualitative explorative study on how family members collaboratively learn (co-learn) about social at their Our one-month wild took place homes eight families (N=32) Finland. defined novel model for co-learning robot home, Robocamp. In Robocamp, Alpha Mini was introduced left within families, who were then provided weekly robotic challenges to conducted robot. The research data collected by semi-structured interviews online diaries. This provides insights family-based home context. It also offers recommendations implementing

Language: Английский

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Problem-based learning and pedagogies of play: Active approaches towards Self-Directed Learning

NWU self-directed learning series, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The focus of this book is original research regarding the implementation problem-based learning and pedagogies play as active approaches to foster self-directed learning. With Fourth Industrial Revolution (4IR) in mind, educational institutions need rethink teaching for future. As such, engagement can be encouraged, evident book, where drives through real-world problems, while pedagogy focuses on innovative environments action are integrated with aim developing SDL. following addressed chapters: an overview play, metaliteracy, playful tasks, computational thinking game-based tasks geometry, solving puzzles, applying LEGO®, using drama implementing robotics. empirical findings disseminated inspire academics area school tertiary classroom that hold affordances enhance 21st-century skills. Active umbrella term mainstream student engagement, such learning, cooperative gamification, role-play drama. This scholarly highlights various engaging pedagogies.

Language: Английский

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Nadine: A large language model‐driven intelligent social robot with affective capabilities and human‐like memory

Computer Animation and Virtual Worlds, Journal Year: 2024, Volume and Issue: 35(4)

Published: July 1, 2024

Abstract In this work, we describe our approach to developing an intelligent and robust social robotic system for the Nadine robot platform. We achieve by integrating large language models (LLMs) skillfully leveraging powerful reasoning instruction‐following capabilities of these types advanced human‐like affective cognitive capabilities. This is novel compared current state‐of‐the‐art LLM‐based agents which do not implement long‐term memory or sophisticated emotional built a that enables generating appropriate behaviors through multimodal input processing, bringing episodic memories accordingly recognized user, simulating states induced interaction with human partner. particular, introduce LLM‐agent frame robots, robotics acting, serving as core component module in system. design has brought forth advancement robots aims increase quality human–robot interaction.

Language: Английский

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Domestic Drones

Published: Nov. 2, 2020

Domestic robotic entities are on the rise, out of which, domestic drones taking place in our society as one upcoming interactive technologies that we will see daily lives. In this paper, scope for research literature addresses use within environments to understand current usage well identifying future directions. After performing a search based collection relevant papers ACM digital library (N=61 papers), analysed drone's application areas, their interaction modalities, target users, and level autonomy proposed systems. The results show interesting trends modalities (visual projection combined with hand/foot gestures) important gaps such child-drone interaction, healthcare or education, given currently most cases generic nature.

Language: Английский

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Multi-Modal Social Robot Behavioural Alignment and Learning Outcomes in Mediated Child–Robot Interactions

Biomimetics, Journal Year: 2025, Volume and Issue: 10(1), P. 50 - 50

Published: Jan. 14, 2025

With the increasing application of robots in human-centred environments, there is motivation for incorporating some degree human-like social competences. Fields such as psychology and cognitive science not only provide guidance on types behaviour that could should be exhibited by robots, they may also indicate manner which these behaviours can achieved. The domain child–robot interaction (sCRI) provides a number challenges opportunities this regard; to an educational context allows child-learning outcomes characterised result robot behaviours. One readily (and unconsciously) used humans behavioural alignment, expressed one person adapts their partner, vice versa. In paper, role non-verbal alignment partner play facilitation learning child examined. This facilitated human memory-inspired algorithm real-time over course interaction. A large touchscreen employed mediating device between robot. Collaborative sCRI emphasised, with providing common set affordances both results show adaptive capable engaging leads greater gains children. study demonstrates specific contribution makes improving children when partners contexts.

Language: Английский

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Empowering Education with Intelligent Systems: Exploring Large Language Models and the NAO Robot for Information Retrieval

Electronics, Journal Year: 2025, Volume and Issue: 14(6), P. 1210 - 1210

Published: March 19, 2025

To unlock more aspects of human cognitive structuring, human–AI and human–robot interactions require increasingly advanced communication skills on both the robot sides. This paper compares three methods retrieving cultural heritage information in primary school education: search engines, large language models (LLMs), NAO humanoid robot, which serves as a facilitator with programmed answering capabilities for convergent questions. Human–robot interaction has become critical aspect modern education, robots like providing new opportunities engaging personalized learning experiences. The NAO, its anthropomorphic design ability to interact students, presents unique approach fostering deeper connections educational content, particularly context heritage. includes an introduction, extensive literature review, methodology, research results from student questionnaires, conclusions. findings highlight potential intelligent embodied technologies enhancing knowledge retrieval engagement, demonstrating NAO’s adapt needs facilitate dynamic interactions.

Language: Английский

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Enhancing Task Persistence in 18- to 24-Month-Old Children through Social Robot Interaction

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Social robots are increasingly integrated into children's daily lives, shaping their social interactions and learning behaviors. However, no study has empirically investigated the effect of robot-administered praise on children younger than 4 years old. To address this gap, present focuses robot CommU, a simple child-shaped that is approximately 30 cm tall, which may exert less pressure help attend to cues more easily. We examined whether from CommU enhances task persistence in aged 18 24 months, similar human praise. The results showed persisted longer when they were praised by agent, regardless agent type (CommU vs. human). Their was also positively associated with amount time spent looking at agent. Notably, most exhibited attention while engaged task, suggesting heightened awareness. These findings provide first empirical evidence interaction can enhance highlighting potential role early childhood learning.

Language: Английский

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The Educational Value of Artificial Intelligence and Social Robots

Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 3 - 15

Published: Jan. 1, 2025

Language: Английский

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Integrating Arduino and Artificial Intelligence in STEM Education

Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 149 - 165

Published: Jan. 1, 2025

Language: Английский

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