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Related papers: Children's Expectations, Engagement, and Evaluatio…

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We report on a systematic, PRISMA-guided survey of research at the intersection of LLMs and visualization, with a particular focus on visio-verbal interaction -- where verbal and visual modalities converge to support data sense-making. The…

Human-Computer Interaction · Computer Science 2026-02-04 Mathis Brossier , Tobias Isenberg , Konrad Schönborn , Jonas Unger , Mario Romero , Johanna Björklund , Anders Ynnerman , Lonni Besançon

This paper explores how Mixed Reality (MR) and 2D video conferencing influence children's communication during a gesture-based guessing game. Finnish-speaking participants engaged in a short collaborative task using two different setups:…

Human-Computer Interaction · Computer Science 2025-06-10 Maryam Teimouri , Filip Ginter , Tomi "bgt" Suovuo

This paper presents a hopeful perspective on the potentially dramatic impacts of Large Language Models on how we children learn and how they will expect to interact with technology. We review the effects of LLMs on education so far, and…

Human-Computer Interaction · Computer Science 2025-04-21 Russell Beale

Transforming educational technologies through the integration of large language models (LLMs) and virtual reality (VR) offers the potential for immersive and interactive learning experiences. However, the effects of LLMs on user engagement…

Human-Computer Interaction · Computer Science 2025-05-13 Suleyman Ozdel , Can Sarpkaya , Efe Bozkir , Hong Gao , Enkelejda Kasneci

The emergence of large language models (LLMs), augmented reality (AR), and user interface/user experience (UI/UX) design in therapies for children, especially with disorders like autism spectrum disorder (ASD), is studied in detail in this…

Human-Computer Interaction · Computer Science 2025-07-09 Biplov Paneru

In child-centered design, directly engaging children is crucial for deeply understanding their experiences. However, current research often prioritizes adult perspectives, as interviewing children involves unique challenges such as…

Human-Computer Interaction · Computer Science 2025-04-29 Linshi Li , Hanlin Cai

Large Language Models (LLMs) are increasingly used as learning companions, providing scaffolded explanations, hints, or step-by-step guidance. However, in current LLM-based learning scenarios, scaffolded content is primarily consumed…

Human-Computer Interaction · Computer Science 2026-03-10 Zixin Chen , Haotian Li , Zhe Liu , Huamin Qu , Xing Xie

With the proliferation of large language model (LLM) applications since 2022, their use in education has sparked both excitement and concern. Recent studies consistently highlight students' (mis)use of LLMs can hinder learning outcomes.…

Human-Computer Interaction · Computer Science 2025-07-01 Ruiwei Xiao , Xinying Hou , Runlong Ye , Majeed Kazemitabaar , Nicholas Diana , Michael Liut , John Stamper

One of the key challenges faced by autistic children is understanding social affordances in complex environments, which further impacts their ability to respond appropriately to social signals. In traffic scenarios, this impairment can even…

Human-Computer Interaction · Computer Science 2025-02-06 Yancheng Cao , Yangyang HE , Yonglin Chen , Menghan Chen , Shanhe You , Yulin Qiu , Min Liu , Chuan Luo , Chen Zheng , Xin Tong , Jing Liang , Jiangtao Gong

Free play is a fundamental aspect of early childhood education, supporting children's cognitive, social, emotional, and motor development. However, assessing children's development during free play poses significant challenges due to the…

Artificial Intelligence · Computer Science 2025-05-07 Yuanyuan Yang , Yuan Shen , Tianchen Sun , Yangbin Xie

Large Language Models (LLMs) have shown significant potential in understanding human communication and interaction. However, their performance in the domain of child-inclusive interactions, including in clinical settings, remains less…

Computation and Language · Computer Science 2024-11-19 Tiantian Feng , Anfeng Xu , Rimita Lahiri , Helen Tager-Flusberg , So Hyun Kim , Somer Bishop , Catherine Lord , Shrikanth Narayanan

Dialogic learning fosters motivation and deeper understanding in education through purposeful and structured dialogues. Foundational models offer a transformative potential for child-robot interactions, enabling the design of personalized,…

Artificial Intelligence · Computer Science 2025-03-21 Elena Malnatsky , Shenghui Wang , Koen V. Hindriks , Mike E. U. Ligthart

Despite the ubiquity of large language models (LLMs) in AI research, the question of embodiment in LLMs remains underexplored, distinguishing them from embodied systems in robotics where sensory perception directly informs physical action.…

Computation and Language · Computer Science 2024-05-28 Philipp Wicke , Lennart Wachowiak

Large language models (LLMs) are increasingly used as conversational partners for learning, yet the interactional dynamics supporting users' learning and engagement are understudied. We analyze the linguistic and interactional features from…

Computation and Language · Computer Science 2026-03-13 Shaz Furniturewala , Gerard Christopher Yeo , Kokil Jaidka

Large Language Models (LLMs) are rapidly transforming education by enabling rich conversational learning experiences. This article provides a comprehensive review of how LLM-based conversational agents are being used in higher education,…

Computation and Language · Computer Science 2025-06-25 Russell Beale

This scoping review examines the emerging field of Large Language Model (LLM)-based pedagogical agents in educational settings. While traditional pedagogical agents have been extensively studied, the integration of LLMs represents a…

Artificial Intelligence · Computer Science 2026-05-19 Shan Li , Juan Zheng

As more applications of large language models (LLMs) for 3D content for immersive environments emerge, it is crucial to study user behaviour to identify interaction patterns and potential barriers to guide the future design of immersive…

Human-Computer Interaction · Computer Science 2026-04-09 Junlong Chen , Jens Grubert , Per Ola Kristensson

Providing students with flexible and timely academic support is a challenge at most colleges and universities, leaving many students without help outside scheduled hours. Large language models (LLMs) are promising for bridging this gap, but…

Computers and Society · Computer Science 2025-09-12 Chang Liu , Loc Hoang , Andrew Stolman , Rene F. Kizilcec , Bo Wu

This study investigates the efficacy of Large Language Models (LLMs) in interactive language therapy for high-functioning autistic adolescents. With the rapid advancement of artificial intelligence, particularly in natural language…

Human-Computer Interaction · Computer Science 2023-11-17 Yujin Cho , Mingeon Kim , Seojin Kim , Oyun Kwon , Ryan Donghan Kwon , Yoonha Lee , Dohyun Lim

Traditional end-of-quarter surveys often fail to provide instructors with timely, detailed, and actionable feedback about their teaching. In this paper, we explore how Large Language Model (LLM)-powered chatbots can reimagine the classroom…

Computers and Society · Computer Science 2025-08-19 Sai Siddartha Maram , Ulia Zaman , Magy Seif El-Nasr
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