Situation Awareness, Mental Workload, and Trust in Automation: Viable, Empirically Supported Cognitive Engineering Constructs

By Raja Parasuraman, Thomas B. Sheridan, C. Wickens. 2008

703 citations recorded by the source corpus.

Subfields: Information Systems and Management, Social Psychology, Surgery

View Paper: https://www.semanticscholar.org/paper/ba3e23abd1176c79a9607668208d9366767b76d6

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Citations in the corpus

Challenges in Shared-Environment Human-Robot Collaboration (2013, background): “Collaborating with humans introduces a preference for representations that are inherently comprehensible to people, avoiding the introduction of any unnecessary cognitive load when properly implemented [16], [17].”
A Survey on Trust Modeling (2015, background): “Parasuraman et al. [2008] look into how much situation awareness (SA), mental workload, and trust in automation can promote the human–system performance in complex systems.”
Augmenting the Technology Acceptance Model with Trust: Commercial Drivers’ Attitudes towards Monitoring and Feedback (2012, methodology): “As such, the TAM model is augmented by trust in the OBMS, which is included in the model as a predictor of BI.”
Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective (2020, positive): “Studies have supported trust as a vital construct for predicting acceptance of technology [18]; [42]; [89]; [91].”
Extending the Technology Acceptance Model to assess automation (2011, background): “The importance of trust in automation adoption has been emphasized by CE researchers (e.g., Lee and Moray 1994; Parasuraman et al. 2008).”
Investigating the Importance of Trust on Adopting an Autonomous Vehicle (2015, background): “Previous studies have conﬁrmed that trust is a major construct for predicting the adoption of automation (Carter & Bélanger, 2005; Gefen et al., 2003; Lee & Moray, 1992, 1994; Lee & See, 2004; Parasuraman et al., 2008; Pavlou, 2003).”
A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction (2011, background): “Trust in HRI is very much related to trust in automation in general, which has been studied with respect to its various performance influences (Chen et al., 2010; Lee & See, 2004; Parasuraman, Sheridan, & Wickens, 2008; Sheridan, 2002).”
Complacency and Bias in Human Use of Automation: An Attentional Integration (2010, background): “R. Parasuraman, Sheridan, and Wickens (2008) disputed this view, pointing to the growing scientific, empirical literature on the characteristics of both constructs.”