Contextual Intrusion, Flow Disruption, and Joy Interference in Conversational AI Systems
Year: 2026
Type: article
Abstract: This white paper documents a real interaction in which a conversational AI system reintroduced prior conversational content into a new, narrowly scoped prompt without request. Scenario-based analysis identifies the psychological mechanisms involved in contextual intrusion and flow disruption and accounts for the asymmetric human costs imposed by such behavior, including cognitive load, momentum loss, and emotional interference during reflective states.
Author: JONES, DERICK
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7127407572
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