Paper Reading AI Learner

'You've got a friend in me': Co-Designing a Peer Social Robot for Young Newcomers' Language and Cultural Learning

2026-03-19 11:54:10
Neil Fernandes, Cheng Tang, Tehniyat Shahbaz, Alex Hauschildt, Emily Davies-Robinson, Yue Hu, Kerstin Dautenhahn

Abstract

Community literacy programs supporting young newcomer children in Canada face limited staffing and scarce one-to-one time, which constrains personalized English and cultural learning support. This paper reports on a co-design study with United for Literacy tutors that informed Maple, a table-top, peer-like Socially Assistive Robot (SAR) designed as a practice partner within tutor-mediated sessions. From shadowing and co-design interviews, we derived newcomer-specific requirements and added them in an integrated prototype that uses short story-based activities, multi-modal scaffolding (speech, facial feedback, gesture), and embedded quizzes that support attention while producing tutor-actionable formative signals. We contribute system design implications for tutor-in-the-loop SARs supporting language socialization in community settings and outline directions for child-centered evaluation in authentic programs.

Abstract (translated)

加拿大社区扫盲项目中支持新移民儿童的课程面临人员配备有限、一对一时间稀缺的问题,这限制了针对性的英语和文化学习支持。本文报告了一项与“联合扫盲组织”导师开展的协同设计研究,该研究为“枫叶”提供了设计依据——这是一款桌面式、拟人化的社会辅助机器人(SAR),旨在导师介导的会话中作为练习伙伴。通过观察与协同设计访谈,我们提取了新移民儿童的具体需求,并将其整合到一个集成原型中。该原型采用基于短篇故事的活动、多模态支架(语音、面部反馈、手势)以及嵌入式测验,既能支持儿童注意力,又能生成可供导师采取行动的形成性信号。我们提出了关于导师在环社会辅助机器人支持社区场景中语言社会化的系统设计启示,并概述了在真实项目中开展以儿童为中心评估的方向。

URL

https://arxiv.org/abs/2603.18804

PDF

https://arxiv.org/pdf/2603.18804.pdf


Tags
3D Action Action_Localization Action_Recognition Activity Adversarial Agent Attention Autonomous Bert Boundary_Detection Caption Chat Classification CNN Compressive_Sensing Contour Contrastive_Learning Deep_Learning Denoising Detection Dialog Diffusion Drone Dynamic_Memory_Network Edge_Detection Embedding Embodied Emotion Enhancement Face Face_Detection Face_Recognition Facial_Landmark Few-Shot Gait_Recognition GAN Gaze_Estimation Gesture Gradient_Descent Handwriting Human_Parsing Image_Caption Image_Classification Image_Compression Image_Enhancement Image_Generation Image_Matting Image_Retrieval Inference Inpainting Intelligent_Chip Knowledge Knowledge_Graph Language_Model LLM Matching Medical Memory_Networks Multi_Modal Multi_Task NAS NMT Object_Detection Object_Tracking OCR Ontology Optical_Character Optical_Flow Optimization Person_Re-identification Point_Cloud Portrait_Generation Pose Pose_Estimation Prediction QA Quantitative Quantitative_Finance Quantization Re-identification Recognition Recommendation Reconstruction Regularization Reinforcement_Learning Relation Relation_Extraction Represenation Represenation_Learning Restoration Review RNN Robot Salient Scene_Classification Scene_Generation Scene_Parsing Scene_Text Segmentation Self-Supervised Semantic_Instance_Segmentation Semantic_Segmentation Semi_Global Semi_Supervised Sence_graph Sentiment Sentiment_Classification Sketch SLAM Sparse Speech Speech_Recognition Style_Transfer Summarization Super_Resolution Surveillance Survey Text_Classification Text_Generation Time_Series Tracking Transfer_Learning Transformer Unsupervised Video_Caption Video_Classification Video_Indexing Video_Prediction Video_Retrieval Visual_Relation VQA Weakly_Supervised Zero-Shot