TRAFA: Anticipating User Actions to Reduce Errors in Procedural Tasks with Predictive Feedback

• URL: http://arxiv.org/abs/2605.24526v1
• Date: Sat, 23 May 2026 11:29:15 GMT
• Title: TRAFA: Anticipating User Actions to Reduce Errors in Procedural Tasks with Predictive Feedback
• Abstract summary: We present TRAFA, a real-time predictive feedback system for procedural tasks.<n> TRAFA operationalizes predictive feedback through a Track-Forecast-Act framework.<n>Results show that predictive feedback improves task accuracy and efficiency.
• Score: 20.81220736856844
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Interactive assistance systems typically provide feedback after an action has been completed, supporting error recovery but not preventing the error itself. We present TRAFA, a real-time predictive feedback system for procedural tasks that intervenes before errors are committed. TRAFA operationalizes predictive feedback through a Track-Forecast-Act framework that tracks hand and object state, forecasts user motion conditioned on scene context, and triggers feedback when a predicted action is likely to violate task constraints. We instantiate this pipeline in a sequential assembly setting and evaluate it through both technical benchmarking and a controlled user study against conventional reactive feedback. Our results show that predictive feedback improves task accuracy and efficiency while maintaining a comparable number of feedback events. These findings position feedback timing as a key dimension in system design and show how real-time anticipation can be integrated into interactive systems to prevent errors before they occur.

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