When Direct Manipulation Becomes a Guess: Productive Friction in AI-Mediated Multisensory Visualization
3.20T1 sourcearXiv cs.HC
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2609.27104.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryAuthors propose 'productive friction' for AI-mediated multisensory visualization, addressing a 'deterministic-affordance mismatch' where deterministic interaction cues persist while AI weakens predictability, locality, reversibility, or provenance. Drawing on Iron Man 2 and Blade Runner 2049, they outline four frictions that expose inference boundaries, match action to effect, make stochastic branches tangible, and attribute sensory agreement.
Why it mattersFrames a design principle for surfacing AI uncertainty through multisensory feedback. Relevant to practitioners building interactive agentic tools where users must sense model confidence.
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