The Cognitive Eye: Indexing Oculomotor Functions for Mental Workload Assessment in Cognition-Aware Systems

Grimmer, Janine; Simon, Laura; Ehlers, Jan

doi:10.1145/3411763.3451662

Cited by 4 publications

(1 citation statement)

References 32 publications

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“…It is one of the most used measures of task load and considers six subscales: mental demand, physical demand, temporal demand, level of performance, effort, and frustration. Even though a variety of physiological measures has been used to predict MWL in many domains (Grimmer et al 2021;Sakib et al 2021;Singh et al 2021;Yauri et al 2021), the use of subjective assessments alone has been preferred in many studies (Sugiono et al 2017;Yurko et al 2010), especially due to their simplicity of application and non-intrusive nature. Also, for MWL specifically, existing studies show that while most of the physiological measures used in MWL research can detect changes in MWL levels, the validity of these measures is dependent on the application at hand, which requires a proper selection of the physiological measures for each task scenario (Charles and Nixon 2019;Tao et al 2019).…”

Section: Mental Workloadmentioning

confidence: 99%

Impact of VR-Based Training on Human–Robot Interaction for Remote Operating Construction Robots

Adami

Rodrigues

Woods

et al. 2022

J. Comput. Civ. Eng.

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Despite the increased interest in automation and the expanded deployment of robots in the construction industry, using robots in a dynamic and unstructured working environment has caused safety concerns in operating construction robots. Improving Human-Robot Interaction (HRI) can increase the adoption of robots on construction sites; for example, increasing trust in robots could help construction workers to accept new technologies. Confidence in operation (or self-efficacy), mental workload, and situational awareness are among other key factors that help such workers to remote operate robots safely.However, construction workers have very few opportunities to practice with robots to build trust, selfefficacy, and situational awareness, as well as resistance against increasing mental workload, before interacting with them on job sites. Virtual Reality (VR) could afford a safer place to practice with the robot, thus we tested if VR-based training could increase these four outcomes during the remote operation of

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