Daniel Shapiro

ECAI Conference 2024 Conference Paper

A Demonstration of AI Personalized Interactive Fiction for Young Children

• Jasmine Lesner
• Luke Murayama
• Tony Guizar
• Poom Phunjamaneechot
• Daniel Shapiro

We present a high-fidelity prototype that allows young children to create personalized, interactive stories using AI, designed to enhance their learning, creativity, and decision-making. Children select story topics using emojis to create stories with multimedia elements integrated to boost engagement. The prototype uses AI models for text-to-image, text-to-sound, and text-to-music to enrich the storytelling with visuals, sounds, and music. Parents can monitor the AI-generated content through story charts and media galleries to ensure it remains age-appropriate. While the system can scale out horizontally to accelerate content creation, challenges remain in maintaining consistent visual character portrayal and offering diverse narrative paths. We aim to provide an educational tool that entertains while supporting children’s cognitive development, language skills, and imagination. Our prototype demonstrates the potential of child-centric AI storytelling tools to impact children’s learning and development.

ECAI Conference 2024 Conference Paper

AI Personalized Interactive Fiction for Young Children

• Jasmine Lesner
• Luke Murayama
• Tony Guizar
• Poom Phunjamaneechot
• Daniel Shapiro

This paper presents a novel high-fidelity prototype designed to enable young children to create personalized, interactive stories using advanced AI technologies. Our approach addresses a gap in existing AI-driven storytelling applications by focusing specifically on young children. The prototype allows children to select story topics using emojis and engages them with vivid multimedia elements including AI-generated illustrations, sounds, and music. Our goal is to foster critical thinking through choice-based narratives that allow children to influence story outcomes. Parents can review and provide feedback on AI-generated media to ensure age-appropriate content. The system integrates large language models (LLMs) for story generation with text-to-image, text-to-sound, and text-to-music AI models to deliver an engaging multimedia storytelling experience. The paper describes the prototype system in conjunction with a story generated by it. Our prototype demonstrates the potential of child-centric AI storytelling tools to positively impact children’s learning and development.

AAAI Conference 2008 Conference Paper

Achieving Far Transfer in an Integrated Cognitive Architecture

• Daniel Shapiro

Transfer is the ability to employ knowledge acquired in one task to improve performance in another. We study transfer in the context of the ICARUS cognitive architecture, which supplies diverse capabilities for execution, inference, planning, and learning. We report on an extension to ICARUS called representation mapping that transfers structured skills and concepts between disparate tasks that may not even be expressed with the same symbol set. We show that representation mapping is naturally integrated into ICARUS’ cognitive processing loop, resulting in a system that addresses a qualitatively new class of problems by considering the relevance of past experience to current goals.

IS Journal 2008 Journal Article

Ambient Intelligence—the Next Step for Artificial Intelligence

• Carlos Ramos
• Juan Carlos Augusto
• Daniel Shapiro

Ambient intelligence (AmI) deals with a new world of ubiquitous computing devices, where physical environments interact intelligently and unobtrusively with people. These environments should be aware of people's needs, customizing requirements and forecasting behaviors. AmI environments can be diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, vehicles, tourist attractions, stores, sports facilities, and music devices. Artificial intelligence research aims to include more intelligence in AmI environments, allowing better support for humans and access to the essential knowledge for making better decisions when interacting with these environments. This article, which introduces a special issue on AmI, views the area from an artificial intelligence perspective.

AAMAS Conference 2004 Conference Paper

An Architecture for Persistent Reactive Behavior

• Dongkyu Choi
• Matt Kaufman
• Pat Langley
• Negin Nejati
• Daniel Shapiro