Problem
Research questions and friction points this paper is trying to address.
digital humans
ambient intelligence
contextual awareness
situational awareness
interactive agents
Designing Digital Humans with Ambient Intelligence
🤖 AI Summary
This study addresses the limitation of current digital humans, which rely solely on conversational content without perceiving the user’s surrounding context. To bridge this gap, the work proposes the first conceptual framework integrating Ambient Intelligence (AmI) with digital humans, endowing them with contextual awareness, proactive anticipation, cross-device interaction, and long-term personalization through environmental sensors, IoT data, and context modeling. The research delineates the pivotal role of AmI in shaping agent behavior, establishes a design space encompassing levels of proactivity and privacy-preserving strategies, and validates the framework through application scenarios in finance and retail. By doing so, it advances digital humans from passive responders toward responsible, context-aware intelligent agents.
📝 Abstract
Digital humans are lifelike virtual agents capable of natural conversation and are increasingly deployed in domains like retail and finance. However, most current digital humans operate in isolation from their surroundings and lack contextual awareness beyond the dialogue itself. We address this limitation by integrating ambient intelligence (AmI) - i.e., environmental sensors, IoT data, and contextual modeling - with digital human systems. This integration enables situational awareness of the user's environment, anticipatory and proactive assistance, seamless cross-device interactions, and personalized long-term user support. We present a conceptual framework defining key roles that AmI can play in shaping digital human behavior, a design space highlighting dimensions such as proactivity levels and privacy strategies, and application-driven patterns with case studies in financial and retail services. We also discuss an architecture for ambient-enabled digital humans and provide guidelines for responsible design regarding privacy and data governance. Together, our work positions ambient intelligent digital humans as a new class of interactive agents powered by AI that respond not only to users' queries but also to the context and situations in which the interaction occurs.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Ambient Intelligence
Digital Humans
Contextual Awareness
Proactive Interaction
IoT Integration
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