Task Generalization beyond Time-Oriented Agents

Investigate the generalization of VIGIL’s abstractions by testing the robustness of affective appraisal and reflective feedback in planning agents, retrieval-augmented generation pipelines, and generative coding agents beyond time-oriented reminder tasks.

Background

The evaluation centers on a reminder-oriented agent (Robin-A), a controlled testbed for runtime supervision and affective diagnosis. While this domain surfaces relevant soft failures, it is a narrow slice of potential agent tasks.

To validate domain-agnostic claims, the authors propose applying VIGIL to diverse agent types such as planners, RAG systems, and coding agents, assessing whether EmoBank and RBT diagnostics remain effective across workloads.