Designing Digital Humans with Ambient Intelligence
Mengyu Chen, Pranav Deshpande, Runqing Yang, Elvir Azanli, Joseph Ligman, Shaohan Hu, Chun-Fu Chen

TL;DR
This paper proposes integrating ambient intelligence with digital humans to enhance contextual awareness, enabling more proactive, personalized, and environment-aware virtual agents across domains like retail and finance.
Contribution
It introduces a conceptual framework, design space, and architecture for ambient-enabled digital humans, emphasizing context-aware interaction and responsible data governance.
Findings
Framework defining key roles of AmI in digital humans
Design space with dimensions like proactivity and privacy
Case studies in financial and retail services
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…
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