Research Summary: Proactive Computing

The field of computing is evolving towards 'proactive computing,' a paradigm where systems move beyond reacting to explicit user requests. This new approach involves sensing, interpreting, predicting, and initiating actions or delivering information based on inferred user context and anticipated needs or risks. This transition is driven by advancements in mobile connectivity, sensing technologies, machine learning, foundation models, and distributed edge infrastructure.

Why it matters

This shift towards proactive computing represents a fundamental change in how technology interacts with users and environments. Organisations must understand this paradigm to strategically align their technology investments and operational models, ensuring they leverage anticipated needs and risks for improved efficiency and service delivery. Ignoring this trend could lead to competitive disadvantages as systems become increasingly autonomous and anticipatory.

Key insights

• Computing systems are transitioning from reactive tools to proactive systems that anticipate user needs and risks.
• Proactive computing leverages global mobile connectivity, wearable and ambient sensing, advanced machine learning, and distributed edge infrastructure.
• The core definition of proactive computing involves inferring user context, anticipating future needs/risks, and initiating timely actions or information delivery.
• Proactive computing is distinct from reactive, context-aware, adaptive, and predictive computing, emphasizing system-level integration.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.12649