NASA-TLX for predictability and measurability of instructional design models: case study in design methods

Nikulin, Christopher; López, Gabriela Correa; Piñonez, Eduardo; González, Luis F.; Zapata, Pia

doi:10.1007/s11423-019-09657-4

Cited by 21 publications

(10 citation statements)

References 35 publications

(31 reference statements)

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“…Therefore no differences in physical load were expected between tasks. Previous research has also shown that the design process should be considered more as mental and not as physical activity (Nikulin et al, 2019). The tasks were shortly introduced in both text and image form to the respective problem, followed by several questions to which the participants could enter their solution.…”

Section: Data Collectionmentioning

confidence: 99%

Study on the Impact of Cognitive Load on Performance in Engineering Design

Zimmerer

Matthiesen

2021

Proc. Des. Soc.

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The objective evaluation of empirical studies is an important part when assessing demand and validating design methods. However, metrics that can also map cognitive processes during design are still lacking. In order to address this problem, an online study with 12 participants was conducted. The aim of this investigation was to find a relation between cognitive load and performance in engineering design tasks. To assess the cognitive load, the NASA-RTLX questionnaire was used as an established measurement tool and was related to the results achieved by the participants. The results show that there is a correlation between the two investigated parameters. Based on a statistical analysis a correlation between increasing cognitive load and a decrease in performance could be identified. The tasks used produce comparable results to other studies investigating cognitive load, but the task causing the highest cognitive load shows the widest scatter in performance. The u-curve as suggested by the state of the art was not visible in the study’s results, but the cognitive load should be nevertheless used for studies of design processes, because it may reveal a need for methodical support.

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Section: Data Collectionmentioning

confidence: 99%

Study on the Impact of Cognitive Load on Performance in Engineering Design

Zimmerer

Matthiesen

2021

Proc. Des. Soc.

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“…The proposed system works in both synchronous and asynchronous modes. To evaluate the subjective workload on each system mode, each subject has completed the NASA-TLX questionnaires (mental demand, physical demand, temporal demand and effort) [38], [39] and the scores (low (0) to high ( 10)-the scores are normalized between 0 to 10) are reported in Table 5.…”

Section: F Workload Evaluationmentioning

confidence: 99%

Stimulus Paradigm for an Asynchronous Concurrent SSVEP and EOG Based BCI Speller System

Duraisamy¹,

2021

IEEE Access

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The brain computer interface (BCI) speller system can be classified into synchronous and asynchronous type. In synchronous type, one of the target characters is selected with specific interval periodically even if the user is making or not making attention on the target, whereas, in asynchronous case, the target character will not be selected until a confirmation signal is received from the user. In this proposed study a novel oddball stimulus paradigm is introduced on the hybrid steady state visual evoked potential (SSVEP) and electrooculogram (EOG) speller system to achieve an asynchronous control and high performance. The proposed system consists of forty characters grouped and indexed into five flickering unique frequency visual stimuli. Each visual stimulus is assigned with eight unique characters. The characters in each group are randomly highlighted by the oddball paradigm and the user performs blink eye movement in synchrony with the desired target character highlight. An asynchronous control is achieved by EOG signal and oddball paradigm because the target character will not be selected until the user performs blink eye movement. The stimulus paradigm helps the user to select the target group and desired target character, concurrently by SSVEP and EOG signal which increases the performance of the system. The proposed asynchronous speller system is tested and validated on ten subjects. The online classification accuracy and information transfer rate (ITR) of the proposed hybrid speller system are 99.38% and 116.58 bits/min respectively. Performance metrics of the proposed system are compared with the conventional speller systems and is found to be much superior to existing systems.

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“…Participants rate the impact of each dimension in their task, in a scale from zero to one hundred. NASA-TLX is considered as an appropriate method to measure designer workload and the difficulty of a design task [60], [61]. Finally, we asked participants to rate their perceived difficulty of the design retrieval activity, the CAD modeling activity and of the overall task.…”

Section: Precisionmentioning

confidence: 99%