TY - JOUR
T1 - Using GOMS and NASA-TLX to Evaluate Human-Computer Interaction Process in Interactive Segmentation
AU - Ramkumar, Anjana
AU - Stappers, Pieter Jan
AU - Niessen, Wiro
AU - Adebahr, S
AU - Schimek-Jasch, T
AU - Nestle, U
AU - Song, Yu
PY - 2017
Y1 - 2017
N2 - HCI plays an important role in interactive medical image segmentation. The Goals, Operators, Methods, and Selection rules (GOMS) model and the National Aeronautics and Space Administration Task Load Index (NASA-TLX) questionnaire are different methods that are often used to evaluate the HCI process. In this article, we aim at improving the HCI process of interactive segmentation using both the GOMS model and the NASA-TLX questionnaire to: 1) identify the relations between these two methods and 2) propose HCI design suggestions based on the synthesis of the evaluation results using both methods. For this, we conducted an experiment where three physicians used two interactive segmentation approaches to segment different types of organs at risk for radiotherapy planning. Using the GOMS model, we identified 16 operators and 10 methods. Further analysis discovered strong relations between the use of GOMS operators and the results of the NASA-TLX questionnaire. Finally, HCI design issues were identified, and suggestions were proposed based on the evaluation results and the identified relations.
AB - HCI plays an important role in interactive medical image segmentation. The Goals, Operators, Methods, and Selection rules (GOMS) model and the National Aeronautics and Space Administration Task Load Index (NASA-TLX) questionnaire are different methods that are often used to evaluate the HCI process. In this article, we aim at improving the HCI process of interactive segmentation using both the GOMS model and the NASA-TLX questionnaire to: 1) identify the relations between these two methods and 2) propose HCI design suggestions based on the synthesis of the evaluation results using both methods. For this, we conducted an experiment where three physicians used two interactive segmentation approaches to segment different types of organs at risk for radiotherapy planning. Using the GOMS model, we identified 16 operators and 10 methods. Further analysis discovered strong relations between the use of GOMS operators and the results of the NASA-TLX questionnaire. Finally, HCI design issues were identified, and suggestions were proposed based on the evaluation results and the identified relations.
UR - http://www.scopus.com/inward/record.url?scp=84989894937&partnerID=8YFLogxK
UR - http://resolver.tudelft.nl/uuid:ba996509-4e14-4c02-b561-50249dd53442
U2 - 10.1080/10447318.2016.1220729
DO - 10.1080/10447318.2016.1220729
M3 - Article
AN - SCOPUS:84989894937
SN - 1044-7318
VL - 33
SP - 123
EP - 134
JO - International Journal of Human-Computer Interaction
JF - International Journal of Human-Computer Interaction
IS - 2
ER -