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Artificial intelligence could be used to help users to better accomplish certain tasks, especially when critical or subjected to human errors. However, automating tasks could lead to other problems that could affect the final performance of the user. In this paper we investigate - from a Human Factors point of view - how different levels of automation (LOAs) may result in a change of user’s behaviour and performances in smart surveillance systems. The objective is to find a correct balance between automating tasks and asking the user to intervene in the process. We performed tests (using qualitative-quantitative measures) to observe changes in performances, Situation Awareness and workload in relation to different LOAs.

Improving User Performance in a Smart Surveillance Scenario through Different Levels of Automation