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About this paper
Joonhee Lee
The paper defines and systematizes "proactive computing" as an emerging paradigm where intelligent systems infer user context, anticipate future needs or risks, and initiate information or actions without explicit user requests. It outlines the technological enablers and presents a comprehensive framework that includes technical and socio-technical challenges for its responsible development.
Key insights
- The defining characteristic of proactive computing is its ability to bridge the "prediction-to-action gap," by deciding *when, how, and whether* to intervene, rather than just forecasting future states.
- Responsible development of proactive systems requires addressing a holistic set of technical challenges (e.g., semantic gap, uncertainty, resource constraints) alongside crucial socio-technical issues (e.g., user acceptance, trust, privacy, accountability).
- An "edge continuum" architecture, distributing computation across devices, personal hubs, network edge, and cloud, is identified as optimal for balancing latency, privacy, and resource efficiency in proactive systems.
Summary by alphaXiv.
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