Nasa-Task Load Index (NASA-TLX); 20 Years Later

By S. Hart. 2006

4,986 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fcb719ddcb11ed708ffda98122154376f9737c07

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Citations in the corpus

A Social Virtual Reality Based Construction Safety Education System for Experiential Learning (2014, background): “13 NASA task load Index [33] Table 2 Summary of questionnaire and interview result”
Strategies for human-in-the-loop robotic grasping (2012, methodology): “Self-Reported Measures: To measure the cognitive load experienced during each round, we used the NASATLX scale [5].”
How High is High? A Meta-Analysis of NASA-TLX Global Workload Scores (2015, methodology): “This analysis is similar to that which was suggested by Hart (2006).”
LineUp: Visual Analysis of Multi-Attribute Rankings (2013, methodology): “After each task, participants had to fill out the standardized NASA-TLX questionnaire for workload assessment [8].”
The challenges of entering the metaverse: An experiment on the effect of extended reality on workload (2022, background): “, physical, mental, emotional) an individual devotes to accomplish a task (Hart, 2006; Hart & Wickens, 1990).”
A Review of Mobile Robotic Telepresence (2013, methodology): “Another way to measure how different means for navigation affect the quality of a pilot interface is to measure the mental workload with the NASA TLX test [117].”
Changing the Optics: Comparing Traditional and Retrieval-Augmented GenAI E-Tutorials in Interdisciplinary Learning (2026, unknown): “[46] Sandhini Agarwal, Lama Ahmad, Jason Ai, Sam Altman, Andy Applebaum, Edwin Arbus, Rahul K Arora, Yu Bai, Bowen Baker, Haiming Bao, et al ) [20, 21, 22] How would you rate the workload (Very Low/Low/Neutral/High/Very High)?”