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Bridging Technology and Policy Design: A Robot Policy Design Toolkit to Support Collaborations in Policymaking

Advancements in artificial intelligence are challenging current policy frameworks. Both the human-computer interaction (HCI) community and policymakers note that technologies are designed better when they take into account the impact on society, and that policies are more effective when they are grounded in technical…

Anastasia Kouvaras Ostrowski et al.Purdue University

Once Upon AI Time: Combining Narrative and Games for Early AI Literacy

Artificial intelligence (AI) is increasingly present in children’s lives, yet few tools support developmentally appropriate AI literacy for grades K-3. This work examines the role of narrative in early AI literacy by directly comparing two versions of interactive game-based digital storybooks for children ages 6-9. Th…

Isabella Pu et al.Massachusetts Institute of Technology

Co-designing Large Language Model Tools for Project-Based Learning with K12 Educators

The emergence of generative AI, particularly large language models (LLMs), has opened the door for student-centered and active learning methods like project-based learning (PBL). However, PBL poses practical implementation challenges for educators around project design and management, assessment, and balancing student…

Prerna Ravi et al.Massachusetts Institute of Technology

Integrating Flow Theory and Adaptive Robot Roles: A Conceptual Model of Dynamic Robot Role Adaptation for the Enhanced Flow Experience in Long-term Multi-person Human-Robot Interactions

In this paper, we introduce a novel conceptual model for a robot's behavioral adaptation in its long-term interaction with humans, integrating dynamic robot role adaptation with principles of flow experience from psychology. This conceptualization introduces a hierarchical interaction objective grounded in the flow ex…

Huili Chen et al.Massachusetts Institute of Technology

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Doodlebot: An educational robot for creativity and AI literacy

Today, Artificial Intelligence (AI) is prevalent in everyday life, with emerging technologies like AI companions, autonomous vehicles, and AI art tools poised to significantly transform the future. The development of AI curricula that shows people how AI works and what they can do with it is a powerful way to prepare…

Randi Williams et al.Massachusetts Institute of Technology

A Robotic Companion for Psychological Well-being: A Long-term Investigation of Companionship and Therapeutic Alliance

Social support plays a crucial role in managing and enhancing one’s mental health and well-being. In order to explore the role of a robot’s companion-like behavior on its therapeutic interventions, we conducted an eight-week-long deployment study with seventy participants to compare the impact of (1) a control robot w…

Sooyeon Jeong et al.Massachusetts Institute of Technology

A Social Robot Reading Partner for Explorative Guidance

Pedagogical agent research has yielded fruitful results in both academic skill learning and meta-cognitive skill acquisition, often studied in instructional or peer-to-peer paradigms. In the past decades, child-centric pedagogical research, which emphasizes the learner's active participation in learning with self-moti…

Xiajie Zhang et al.Massachusetts Institute of Technology

Escape!Bot: Social Robots as Creative Problem-Solving Partners

In this work, we explore the effect of a social robot's embodiment and creativity scaffolding on children's creative problem solving skills in the context of a digital creative problem-solving game called Escape!Bot. Children aged 5-11 years played the video game, which involved assembling contraptions to escape a dig…

Safinah Ali et al.Massachusetts Institute of Technology

Exploring Generative Models with Middle School Students

Applications of generative models such as Generative Adversarial Networks (GANs) have made their way to social media platforms that children frequently interact with. While GANs are associated with ethical implications pertaining to children, such as the generation of Deepfakes, there are negligible efforts to educate…

Safinah Ali et al.Massachusetts Institute of Technology

Impact of Interaction Context on the Student Affect-Learning Relationship in Child-Robot Interaction

Prior work in affect-aware educational robots has often relied on a common belief that the relationship between student affect and learning is independent of agent behaviors (child’s/robot’s) or unidirectional (positive/negative but not both) throughout the entire student-robot interaction. We argue that the student a…

Huili Chen et al.Massachusetts Institute of Technology

A is for Artificial Intelligence: The Impact of Artificial Intelligence Activities on Young Children's Perceptions of Robots

We developed a novel early childhood artificial intelligence (AI) platform, PopBots, where preschool children train and interact with social robots to learn three AI concepts: knowledge-based systems, supervised machine learning, and generative AI. We evaluated how much children learned by using AI assessments we deve…

Randi Williams et al.Massachusetts Institute of Technology

P2PSTORY: Dataset of Children as Storytellers and Listeners in Peer-to-Peer Interactions

Understanding social-emotional behaviors in storytelling interactions plays a critical role in the development of interactive educational technologies for children. A challenge when designing for such interactions using technology like social robots, virtual agents, and tablets is understanding the social-emotional be…

Nikhita Singh et al.Massachusetts Institute of Technology

Paper Title	Authors	Research Topics	Paper Database	Year
Bridging Technology and Policy Design: A Robot Policy Design Toolkit to Support Collaborations in Policymaking Advancements in artificial intelligence are challenging current policy frameworks. Both the human-computer interaction (HCI) community and policymakers note that technologies are designed better when they take into account the impact on society, and that policies are more effective when they are grounded in technical…	AO Anastasia Kouvaras Ostrowski et al.Purdue University
Once Upon AI Time: Combining Narrative and Games for Early AI Literacy Artificial intelligence (AI) is increasingly present in children’s lives, yet few tools support developmentally appropriate AI literacy for grades K-3. This work examines the role of narrative in early AI literacy by directly comparing two versions of interactive game-based digital storybooks for children ages 6-9. Th…	IP Isabella Pu et al.Massachusetts Institute of Technology
emoji_events Co-designing Large Language Model Tools for Project-Based Learning with K12 Educators The emergence of generative AI, particularly large language models (LLMs), has opened the door for student-centered and active learning methods like project-based learning (PBL). However, PBL poses practical implementation challenges for educators around project design and management, assessment, and balancing student…	PR Prerna Ravi et al.Massachusetts Institute of Technology
emoji_events Integrating Flow Theory and Adaptive Robot Roles: A Conceptual Model of Dynamic Robot Role Adaptation for the Enhanced Flow Experience in Long-term Multi-person Human-Robot Interactions In this paper, we introduce a novel conceptual model for a robot's behavioral adaptation in its long-term interaction with humans, integrating dynamic robot role adaptation with principles of flow experience from psychology. This conceptualization introduces a hierarchical interaction objective grounded in the flow ex…	HC Huili Chen et al.Massachusetts Institute of Technology
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Doodlebot: An educational robot for creativity and AI literacy Today, Artificial Intelligence (AI) is prevalent in everyday life, with emerging technologies like AI companions, autonomous vehicles, and AI art tools poised to significantly transform the future. The development of AI curricula that shows people how AI works and what they can do with it is a powerful way to prepare…	RW Randi Williams et al.Massachusetts Institute of Technology
A Robotic Companion for Psychological Well-being: A Long-term Investigation of Companionship and Therapeutic Alliance Social support plays a crucial role in managing and enhancing one’s mental health and well-being. In order to explore the role of a robot’s companion-like behavior on its therapeutic interventions, we conducted an eight-week-long deployment study with seventy participants to compare the impact of (1) a control robot w…	SJ Sooyeon Jeong et al.Massachusetts Institute of Technology
A Social Robot Reading Partner for Explorative Guidance Pedagogical agent research has yielded fruitful results in both academic skill learning and meta-cognitive skill acquisition, often studied in instructional or peer-to-peer paradigms. In the past decades, child-centric pedagogical research, which emphasizes the learner's active participation in learning with self-moti…	XZ Xiajie Zhang et al.Massachusetts Institute of Technology
emoji_events Escape!Bot: Social Robots as Creative Problem-Solving Partners In this work, we explore the effect of a social robot's embodiment and creativity scaffolding on children's creative problem solving skills in the context of a digital creative problem-solving game called Escape!Bot. Children aged 5-11 years played the video game, which involved assembling contraptions to escape a dig…	SA Safinah Ali et al.Massachusetts Institute of Technology
Exploring Generative Models with Middle School Students Applications of generative models such as Generative Adversarial Networks (GANs) have made their way to social media platforms that children frequently interact with. While GANs are associated with ethical implications pertaining to children, such as the generation of Deepfakes, there are negligible efforts to educate…	SA Safinah Ali et al.Massachusetts Institute of Technology
emoji_events Impact of Interaction Context on the Student Affect-Learning Relationship in Child-Robot Interaction Prior work in affect-aware educational robots has often relied on a common belief that the relationship between student affect and learning is independent of agent behaviors (child’s/robot’s) or unidirectional (positive/negative but not both) throughout the entire student-robot interaction. We argue that the student a…	HC Huili Chen et al.Massachusetts Institute of Technology
A is for Artificial Intelligence: The Impact of Artificial Intelligence Activities on Young Children's Perceptions of Robots We developed a novel early childhood artificial intelligence (AI) platform, PopBots, where preschool children train and interact with social robots to learn three AI concepts: knowledge-based systems, supervised machine learning, and generative AI. We evaluated how much children learned by using AI assessments we deve…	RW Randi Williams et al.Massachusetts Institute of Technology
P2PSTORY: Dataset of Children as Storytellers and Listeners in Peer-to-Peer Interactions Understanding social-emotional behaviors in storytelling interactions plays a critical role in the development of interactive educational technologies for children. A challenge when designing for such interactions using technology like social robots, virtual agents, and tablets is understanding the social-emotional be…	NS Nikhita Singh et al.Massachusetts Institute of Technology