Version 1
: Received: 28 September 2024 / Approved: 29 September 2024 / Online: 30 September 2024 (09:45:44 CEST)
How to cite:
Patel, K.; E, H.; V.N, S.; B, R.; Appaiah, M. Analysis of Hierarchical Task Analysis (HTA) Impact
on cognitive workload using NASA TLX: A Study on
the Assembly of a Three Jaw Chuck. Preprints2024, 2024092329. https://doi.org/10.20944/preprints202409.2329.v1
Patel, K.; E, H.; V.N, S.; B, R.; Appaiah, M. Analysis of Hierarchical Task Analysis (HTA) Impact
on cognitive workload using NASA TLX: A Study on
the Assembly of a Three Jaw Chuck. Preprints 2024, 2024092329. https://doi.org/10.20944/preprints202409.2329.v1
Patel, K.; E, H.; V.N, S.; B, R.; Appaiah, M. Analysis of Hierarchical Task Analysis (HTA) Impact
on cognitive workload using NASA TLX: A Study on
the Assembly of a Three Jaw Chuck. Preprints2024, 2024092329. https://doi.org/10.20944/preprints202409.2329.v1
APA Style
Patel, K., E, H., V.N, S., B, R., & Appaiah, M. (2024). Analysis of Hierarchical Task Analysis (HTA) Impact
on cognitive workload using NASA TLX: A Study on
the Assembly of a Three Jaw Chuck. Preprints. https://doi.org/10.20944/preprints202409.2329.v1
Chicago/Turabian Style
Patel, K., Ravishankar B and Mayur Appaiah. 2024 "Analysis of Hierarchical Task Analysis (HTA) Impact
on cognitive workload using NASA TLX: A Study on
the Assembly of a Three Jaw Chuck" Preprints. https://doi.org/10.20944/preprints202409.2329.v1
Abstract
HTA introduced by Annett and Duncan is widely recognized for breaking down
complex tasks into manageable subtasks, data, and quantitative analysis confirming
its effectiveness are limited. By combining the HTA with the NASA Workload Index
(NASA-TLX), a subjective workload assessment tool, this study aims to provide a
comprehensive assessment of task performance and workload. The project involved
assembling a three-jaw chuck with HTA for process definition and subtasks, while
NASA-TLX was used for workload determination. Data were collected through
questionnaires and observation forms and analyzed to determine the impact of HTA
on task performance and workload distribution. The results show that HTA effectively
identifies task complexity and bottlenecks, which facilitates task optimization and
improves performance. The NASA-TLX integration provides critical insights into
individuals' subjective workload and targets areas where task performance and
resource allocation can be improved. This study shows that combining HTA and
NASA-TLX provides a holistic approach to understanding and improving task
performance, ultimately leading to better user experience and productivity.
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
