Future Research — Child, Family & Development

12 proposed directions for this Theme.

Develop Generative vs Retrieval vs Code AI — Disaggregated Sweet Spots into a sequenced research direction rather than treating it as a single undifferentiated topic.

Generative vs Retrieval vs Code AI — Disaggregated Sweet Spots is a future research direction examining the interaction between AI architecture, interface modality, agent structure and human cognitive profile through the

Develop Reasoning Model Fit by Cognitive Task into a sequenced research direction rather than treating it as a single undifferentiated topic.

Reasoning Model Fit by Cognitive Task is a future research direction examining the interaction between AI architecture, interface modality, agent structure and human cognitive profile through the specific lens of ai mode

Develop Tool-Using AI versus Conversational AI into a sequenced research direction rather than treating it as a single undifferentiated topic.

Tool-Using AI versus Conversational AI is a future research direction examining the interaction between AI architecture, interface modality, agent structure and human cognitive profile through the specific lens of ai mod

Develop Voice vs Text vs Visual AI Interfaces into a sequenced research direction rather than treating it as a single undifferentiated topic.

Voice vs Text vs Visual AI Interfaces is a future research direction examining the interaction between AI architecture, interface modality, agent structure and human cognitive profile through the specific lens of interfa

Develop Multimodal Interface Switching Costs into a sequenced research direction rather than treating it as a single undifferentiated topic.

Multimodal Interface Switching Costs is a future research direction examining the interaction between AI architecture, interface modality, agent structure and human cognitive profile through the specific lens of interfac

Develop Embodied and Spatial AI Interface Fit into a sequenced research direction rather than treating it as a single undifferentiated topic.

Embodied and Spatial AI Interface Fit is a future research direction examining the interaction between AI architecture, interface modality, agent structure and human cognitive profile through the specific lens of interfa

Develop Multi-Agent AI Environments into a sequenced research direction rather than treating it as a single undifferentiated topic.

Multi-Agent AI Environments is a future research direction examining the interaction between AI architecture, interface modality, agent structure and human cognitive profile through the specific lens of multi-agent and d

Develop Human Oversight of Agent Teams into a sequenced research direction rather than treating it as a single undifferentiated topic.

Human Oversight of Agent Teams is a future research direction examining the interaction between AI architecture, interface modality, agent structure and human cognitive profile through the specific lens of multi-agent an

Develop Agent Role Composition and Cognitive Burden into a sequenced research direction rather than treating it as a single undifferentiated topic.

Agent Role Composition and Cognitive Burden is a future research direction examining the interaction between AI architecture, interface modality, agent structure and human cognitive profile through the specific lens of m

Develop AI Personality and Cognitive Fit into a sequenced research direction rather than treating it as a single undifferentiated topic.

AI Personality and Cognitive Fit is a future research direction examining the interaction between AI architecture, interface modality, agent structure and human cognitive profile through the specific lens of ai persona a

Develop System 3: AI-Augmented Deliberation into a sequenced research direction rather than treating it as a single undifferentiated topic.

System 3: AI-Augmented Deliberation is a future research direction examining the interaction between AI architecture, interface modality, agent structure and human cognitive profile through the specific lens of ai person

Develop Human–AI Trust Formation into a sequenced research direction rather than treating it as a single undifferentiated topic.

Human–AI Trust Formation is a future research direction examining the interaction between AI architecture, interface modality, agent structure and human cognitive profile through the specific lens of ai persona and augme