Intent-Driven Accessibility Computing: Adapting Internet Interaction and Digital Task Execution to Diverse Human Abilities

The development of the Internet and digital technologies has significantly expanded access to information, communication, and computational services. However, the interaction mechanisms through which these capabilities are accessed remain frequently organized around relatively fixed assumptions concerning human perception, motor abilities, cognitive processing, and interaction preferences. Users are often expected to adapt themselves to predefined interfaces, navigation structures, information representations, and task execution procedures. Although accessibility technologies, assistive devices, and adaptive user interfaces have improved digital inclusion, accessibility is still frequently addressed as an interface-level accommodation rather than as a comprehensive property of the entire digital interaction and task execution process. This paper proposes Intent-Driven Accessibility Computing (IDAC), a conceptual framework that extends intent-driven computing toward adaptive and inclusive Internet interaction. Its central principle is that digital systems should not only understand what users intend to accomplish but also determine how their objectives can be accomplished through interaction mechanisms and execution procedures compatible with their individual abilities and accessibility requirements. Instead of requiring users to accommodate fixed technological interfaces, the proposed approach considers the adaptation of digital capabilities to diverse human abilities. To operationalize this principle, the paper introduces the Intent-Driven Accessibility Framework (IDAF), comprising eight interconnected components: accessibility-aware intent acquisition, human capability and accessibility requirement representation, adaptive interaction modality selection, cognitive load adaptation, assistive capability discovery, accessibility-aware task decomposition, inclusive capability orchestration, and accessibility-aware outcome verification. The framework further introduces an accessibility-constrained capability orchestration model that considers task objectives, user capabilities, accessibility constraints, execution requirements, and outcome quality during digital task planning and execution. A distinguishing feature of the proposed approach is its extension beyond conventional interface adaptation. Accessibility requirements may influence not only how information is displayed or how commands are received but also which computational capabilities are selected, how tasks are decomposed, how execution steps are organized, and how results are communicated. This creates the possibility of adapting the entire Internet task lifecycle rather than modifying only its presentation layer. The paper further examines potential advantages concerning reduced interaction barriers, greater user autonomy, adaptive cognitive accessibility, cross-platform accessibility continuity, assistive technology interoperability, reduced dependency on conventional input devices, and more inclusive autonomous Internet services. It also discusses relationships with existing accessibility standards, assistive technologies, human–computer interaction, multimodal interaction, and autonomous capability orchestration. A set of research propositions, evaluation dimensions, and implementation considerations is presented to guide future investigation. Importantly, this paper develops a conceptual research framework and does not claim completed experimental validation or demonstrated performance superiority. Its proposed advantages are theoretically motivated possibilities that require systematic implementation and empirical evaluation.