In music streaming, personalization is commonly delivered through opaque recommendation pipelines and thin interfaces, which often leads to explanations that are misaligned with listeners’ situated experiences and reduces transparency to a technical afterthought. Interactive narrative visualizations can enable more human-centered transparency and controllability in this setting by linking recommendations to temporally grounded listening patterns and …
Day: January 2, 2026
PRISM: From Individual Preferences to Group Consensus through Conversational AI-Mediated and Visual Explanations
In group accommodation booking, delegating coordination to messaging apps and informal voting often leads to opaque preference trade-offs and social influence, which results in decisions that reflect dominance or conformity rather than genuine consensus. Conversational elicitation coupled with visual preference alignment can enable groups to surface, compare, and negotiate constraints transparently by separating private preference …