Synthetic TLX: Forecasting Human Workload Using Agent Simulation
Synthetic TLX is introduced, a new paradigm for proactive workload estimation that predicts NASA TLX scores for a given task, unlocking novel interaction opportunities and evaluation methods and discussing the future of workload-aware human-AI interaction.
Tzu-Sheng Kuo, C. Cai, Meredith Ringel Morris et al.
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