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Objective: The objective was to review and integrate available research about the construct of state-level suspicion as it appears in social science literatures and apply the resulting findings to information technology (IT) contexts. Background: Although the human factors literature is replete with articles about trust (and distrust) in automation, there is little on the related, but distinct, construct of "suspicion" (in either automated or IT contexts). The construct of suspicion—its precise definition, theoretical correlates, and role in such applications—deserves further study. Method: Literatures that consider suspicion are reviewed and integrated. Literatures include communication, psychology, human factors, management, marketing, information technology, and brain/neurology. We first develop a generic model of state-level suspicion. Research propositions are then derived within IT contexts. Results: Fundamental components of suspicion include (a) uncertainty, (b) increased cognitive processing (e.g., generation of alternative explanations for perceived discrepancies), and (c) perceptions of (mal)intent. State suspicion is defined as the simultaneous occurrence of these three components. Our analysis also suggests that trust inhibits suspicion, whereas distrust can be a catalyst of state-level suspicion. Based on a three-stage model of state-level suspicion, associated research propositions and questions are developed. These propositions and questions are intended to help guide future work on the measurement of suspicion (self-report and neurological), as well as the role of the construct of suspicion in models of decision making and detection of deception. Conclusion: The study of suspicion, including its correlates, antecedents, and consequences, is important. We hope that the social sciences will benefit from our integrated definition and model of state suspicion. The research propositions regarding suspicion in IT contexts should motivate substantial research in human factors and related fields.

Objective: The authors evaluated the validity of trust in automation and information technology (IT) suspicion by examining their factor structure and relationship with decision confidence. Background: Research on trust has burgeoned, yet the dimensionality of trust remains elusive. Researchers suggest that trust is a unidimensional construct, whereas others believe it is multidimensional. Additionally, novel constructs, such as IT suspicion, have yet to be distinguished from trust in automation. Research is needed to examine the overlap between these constructs and to determine the dimensionality of trust in automation. Method: Participants (N = 72) engaged in a computer-based convoy scenario involving an automated decision aid. The aid fused real-time sensor data and provided route recommendations to participants who selected a route based on (a) a map with historical enemy information, (b) sensor inputs, and (c) automation suggestions. Measures for trust in automation and IT suspicion were administered after individuals interacted with the automation. Results: Results indicated three orthogonal factors: trust, distrust, and IT suspicion. Each variable was explored as a predictor of decision confidence. Distrust and trust evidenced unique influences on decision confidence, albeit at different times. Higher distrust related to less confidence, whereas trust related to greater confidence. Conclusion: The current study found that trust in automation was best characterized by two orthogonal dimensions (trust and distrust). Both trust and distrust were found to be independent from IT suspicion, and both distrust and trust uniquely predicted decision confidence. Application: Researchers may consider using separate measures for trust and distrust in future studies.

Despite the importance that human error in the cyber domain has had in recent reports, cyber warfare research to date has largely focused on the effects of cyber attacks on the target computer system. In contrast, there is little empirical work on the role of human operators during cyber breaches. More specifically, there is a need to understand the human-level factors at play when attacks occur. This paper views cyber attacks through the lens of suspicion, a construct that has been used in other contexts, but inadequately defined, in prior research. After defining the construct of suspicion, the authors demonstrate the role that suspicion plays as the conduit between computer operators' normal working behaviors and their ability to alter that behavior to detect and react to cyber attacks. With a focus on the user, rather than the target computer, the authors empirically develop a latent structure for a variety of types of cyber attacks, link that structure to levels of operator suspicion, link suspicion to users' cognitive and emotional states, and develop initial implications for cyber training.