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The NASA-TLX is arguably the most widely used self-report measure of workload in the field of Human Factors and Ergonomics. Previous research utilizing factor analysis has indicated it may not actually be a good unitary measure of workload. In the present study, we have modified two of the original six items, Frustration and Performance, to better reflect workload by replacing them with Emotional Demand and Performance Monitoring Demand items. Confirmatory factor analyses indicate the new scale is an improvement but Physical Demand should also be considered for removal; this results in a five-item measure of mental workload, not overall task workload, as physical demands may not be meaningfully combinable with cognitive demands.

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With the advancement of technology, automation has rapidly embedded itself in many parts of daily function. As a result, it is imperative to understand the processes in which individuals use and develop trust with automation. Specifically, how this relationship is formed and how it evolves over time. Previous research has theorized that the frequency and the positivity of interaction with automated systems is a prominent influencer in the creation of trust. In the present study, we examined subjective trust ratings when participants performed a pattern recognition task with an autonomous agent which varied in positivity and number of interactions. Results showed that positivity amongst other parameters were significant predictors of subjective trust when analyzed using linear mixed models.