aiqbench analysis
The paper treats GUI agent execution as a problem of user-visible application state rather than plan supervision. TaskVM turns a task into an editable contract that tracks desired outcomes, preserved facts, and observed state, and it labels each action as reversible, compensatable, or irreversible. For AI readers, the main takeaway is that the reported gains in contract compliance and recovery control come from an interface design choice, with execution outcomes held constant, so the evidence is about oversight rather than agent capability.
Task-State Governance: A Virtual Machine for Verifiable and Recoverable GUI Agent Execution
arXiv:2610.20100v1 Announce Type: cross Abstract: Graphical user interface (GUI) agents now execute workflows across real applications, but when execution drifts, users must determine what changed, what should have remained untouched, and what can still be recovered. Plan-centric interfaces leave users supervising procedure, but users live with changes to application state. We introduce task-state governance, an interaction paradigm that represents a task as an editable contract linking desired outcomes, facts that must be preserved, and observed application state. We instantiate this paradigm in TaskVM, which projects live state into editable task controls, executes user edits as genuine interface actions, verifies outcomes through independent observation, and marks each action as reversible, compensatable, or irreversible. Across an automated contract benchmark, a controlled user study, and an open live-model exploration, the paradigm strengthened contract compliance and users' recovery control and trust, while execution outcomes were held constant. Task contracts open a design space for governable agent interfaces.
Abstract:Graphical user interface (GUI) agents now execute workflows across real applications, but when execution drifts, users must determine what changed, what should have remained untouched, and what can still be recovered. Plan-centric interfaces leave users supervising procedure, but users live with changes to application state. We introduce task-state governance, an interaction paradigm that represents a task as an editable contract linking desired outcomes, facts that must be preserved, and observed application state. We instantiate this paradigm in TaskVM, which projects live state into editable task controls, executes user edits as genuine interface actions, verifies outcomes through independent observation, and marks each action as reversible, compensatable, or irreversible. Across an automated contract benchmark, a controlled user study, and an open live-model exploration, the paradigm strengthened contract compliance and users' recovery control and trust, while execution outcomes were held constant. Task contracts open a design space for governable agent interfaces.
Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI)
arXiv:2610.20100 [cs.HC]
(or arXiv:2610.20100v1 [cs.HC] for this version)
https://doi.org/10.48550/arXiv.2610.20100 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 245 words
