PersonaFlow generates editable personas from OSS artifacts and integrates them with issue reports, leading most of 13 studied developers to report better user understanding and over half to modify responses with more empathy or adjusted priorities.
Human Factors 37, 32–64
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 4roles
background 1polarities
support 1representative citing papers
The paper introduces a foundational framework with definition, architecture, and processes for effective human oversight of AI systems, plus a documentation template and open research challenges.
The paper claims that alignment requires treating AI as part of the self through cognitive co-regulation, identifying risks like deskilling and automation bias while drawing on System 0 cognition theory.
This paper introduces meaningful human command as a more operationally effective framework than meaningful human control for military AI-enabled autonomous systems.
citing papers explorer
-
Putting a Face to the Issue: Fostering User Empathy of Open Source Software Developers With PersonaFlow
PersonaFlow generates editable personas from OSS artifacts and integrates them with issue reports, leading most of 13 studied developers to report better user understanding and over half to modify responses with more empathy or adjusted priorities.
-
Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems
The paper introduces a foundational framework with definition, architecture, and processes for effective human oversight of AI systems, plus a documentation template and open research challenges.
-
Position: AI as Part of Self -- Extending the Mind Requires Cognitive Co-Regulation
The paper claims that alignment requires treating AI as part of the self through cognitive co-regulation, identifying risks like deskilling and automation bias while drawing on System 0 cognition theory.
-
Meaningful Human Command: Towards a New Model for Military Human-Robot Interaction
This paper introduces meaningful human command as a more operationally effective framework than meaningful human control for military AI-enabled autonomous systems.