Knowledge Affordances for Hybrid Human-AI Information Seeking

ArXi:2604.27539v1 Announce Type: cross As information ecosystems grow heterogeneous, both humans and artificial agents increasingly face a simple yet unresolved question: when seeking knowledge, whom should we ask, and why? Inspired by how people intuitively "read a room", this paper Our contribution is thus a conceptual proposal that connects different research streams, including affordances, semantic web services, knowledge engineering and querying, and mutual intelligibility.