Why does one trust? A 360-degree perspective on the role of position power in weighting trustworthiness factors.

The purpose of the current paper is to explore the influence of the perceived trustworthiness factors of ability, benevolence and integrity on general and specific trust across supervisors, subordinates and peers with the same focal referent. This study used a 360-degree approach to examine how positional power asymmetries influence the relationship between trustworthiness and trust for a general and situation-specific referent. Data were obtained from military supervisors (N = 200), peers (N = 123), and subordinates (N = 85). Measures of trustworthiness and trust of a common military officer were obtained. Supervisors and subordinates differed in their relative weighting of trustworthiness factors (i.e. ability, benevolence, and integrity) when evaluating general and specific trust. Peers evidenced no difference in the relative weighting of trustworthiness factors. The relationship between benevolence and specific trust was stronger for subordinates than for supervisors. One implication of our findings is that trust can develop differently in bottom-up versus top-down organizational relationships. This study provides evidence that supervisors and subordinates emphasize different aspects of trustworthiness when evaluating their trust of a focal officer, and this process was different for general versus specific trust referents. The study also extends previous research by replicating previous findings across raters.

The Effect of Asset Degradation on Trust in Swarms: A Reexamination of System-Wide Trust in Human-Swarm Interaction.

OBJECTIVE: The effects of asset degradation on trust in human-swarm interaction were investigated through the lens of system-wide trust theory. BACKGROUND: Researchers have begun investigating contextual features that shape human interactions with robotic swarms-systems comprising assets that coordinate behavior based on their nearest neighbors. Recent work has begun investigating how human trust toward swarms is affected by asset degradation through the lens of system-wide trust theory, but these studies have been marked by several limitations. METHOD: In an online study, the current work manipulated asset degradation and measured trust-relevant criteria in a within-subjects design and addressed the limitations of past work. RESULTS: Controlling for swarm performance (i.e., target acquisition), asset degradation and trust (i.e., reliance intentions) in swarms were negatively related. In addition, as degradation increased, perceptions of swarm cohesion, obstacle avoidance, target acquisition, and terrain exploration efficiency decreased, the latter two of which (coupled with the reliance intentions criterion) support the tenets of system-wide trust theory as well as replicate and extend past work on the effects of asset degradation on trust in swarms. CONCLUSION: Human-swarm interaction is a context in which system-wide trust is relevant, and future work ought to investigate how to calibrate human trust toward swarm systems. APPLICATIONS: Based on these findings, design professionals should prioritize ways to depict swarm performance and system health such that humans do not abandon trust in systems that are still functional yet not over-trust those systems which are indeed performing poorly.

Trusting Autonomous Security Robots: The Role of Reliability and Stated Social Intent.

OBJECTIVE: This research examined the effects of reliability and stated social intent on trust, trustworthiness, and one's willingness to endorse use of an autonomous security robot (ASR). BACKGROUND: Human-robot interactions in the domain of security is plausible, yet we know very little about what drives acceptance of ASRs. Past research has used static images and game-based simulations to depict the robots versus actual humans interacting with actual robots. METHOD: A video depicted an ASR interacting with a human. The ASR reviewed access credentials and allowed entrance once verified. If the ASR could not verify one's credentials it instructed the visitor to return to the security checkpoint. The ASR was equipped with a nonlethal device and the robot used this device on one of the three visitors (a research confederate). Manipulations of reliability and stated social intent of the ASR were used in a 2 × 4 between subjects design (N = 320). RESULTS: Reliability influenced trust and trustworthiness. Stated social intent influenced trustworthiness. Participants reported being more favorable toward use of the ASR in military contexts versus public contexts. CONCLUSION: The study demonstrated that reliability of the ASR and statements regarding the ASR's stated social intent are important considerations influencing the trust process (inclusive of intentions to be vulnerable and trustworthiness perceptions). APPLICATION: If robotic systems are authorized to use force against a human, public acceptance may be increased with availability of the intent-based programming of the robot and whether or not the robot's decision was reliable.

The effect of propensity to trust and perceptions of trustworthiness on trust behaviors in dyads.

Research on trust has burgeoned in the last few decades. Despite the growing interest in trust, little is known about trusting behaviors in non-dichotomous trust games. The current study explored propensity to trust, trustworthiness, and trust behaviors in a new computer-mediated trust relevant task. We used multivariate multilevel survival analysis (MMSA) to analyze behaviors across time. Results indicated propensity to trust did not influence trust behaviors. However, trustworthiness perceptions influenced initial trust behaviors and trust behaviors influenced subsequent trustworthiness perceptions. Indeed, behaviors fully mediated the relationship of trustworthiness perceptions over time. The study demonstrated the utility of MMSA and the new trust game, Checkmate, as viable research methods and stimuli for assessing the loci of trust.

Responsible (use of) AI.

Although there is a rich history of philosophical definitions of ethics when applied to human behavior, applying the same concepts and principles to AI may be fraught with problems. Anthropomorphizing AI to have characteristics such as "ethics" may promote a dangerous, unrealistic expectation that AI can be trained to have inherent, guaranteed ethical behavior. The authors instead advocate for increased research into the ethical use of AI from initial ideation and design through operational use and sustainment. The authors advocate for five key research areas: (1) education in ethics and core AI concepts for AI developers, leaders, and users, (2) development and use of model cards or datasheets for datasets to provide transparency into the strengths, limits, and potential biases of a trained model, (3) employing human-centered design that seeks to understand human value structures within a task context and enable effective human-machine interaction through intuitive and transparent interfaces, (4) targeted use of run time assurance that monitors and modifies the inputs or outputs of a trained model when necessary to enforce ethical principles such as safety or limiting bias, and (5) developing best practices for the use of a joint human-AI co-creation and training experience to enable a shared mental model and higher performance through potential emergent behavior.

The Role of Decision Authority and Stated Social Intent as Predictors of Trust in Autonomous Robots.

Prior research has demonstrated that trust in robots and performance of robots are two important factors that influence human-autonomy teaming. However, other factors may influence users' perceptions and use of autonomous systems, such as perceived intent of robots and decision authority of the robots. The current study experimentally examined participants' trust in an autonomous security robot (ASR), perceived trustworthiness of the ASR, and desire to use an ASR that varied in levels of decision authority and benevolence. Participants (N = 340) were recruited from Amazon Mechanical Turk. Results revealed the participants had increased trust in the ASR when the robot was described as having benevolent intent compared to self-protective intent. There were several interactions between decision authority and intent when predicting the trust process, showing that intent may matter the most when the robot has discretion on executing that intent. Participants stated a desire to use the ASR in a military context compared to a public context. Implications for this research demonstrate that as robots become more prevalent in jobs paired with humans, factors such as transparency provided for the robot's intent and its decision authority will influence users' trust and trustworthiness.

The relationship of engagement and job satisfaction in working samples.

The present study explored the factor structure of engagement and its relationship with job satisfaction. The authors hypothesize that work engagement comprises 3 constructs: vigor, dedication, and absorption. Using structural equation modeling, the authors analyze data from 3 archival data sets to determine the factor structure of engagement. In addition, they examine the hypothesis that engagement and job satisfaction are separate but related constructs, using structural equation modeling and hierarchical regression. The authors test models in which engagement and job satisfaction items loaded onto a single latent variable and 1 in which they loaded onto 2 separate variables. Results from the confirmatory factor analysis indicate engagement has 3 factors. In addition, confirmatory factor analysis and hierarchical regressions indicate engagement and job satisfaction are separate constructs. Last, hierarchical regressions demonstrated the constructs have different relationships with the areas of work-life scale. Implications for theory and research are discussed.

Modeling the Joint Effect of Leader and Follower Authenticity on Work and Non-Work Outcomes.

Recent theoretical and empirical work has developed the concept of authenticity, both as it relates to leader authenticity and as it relates to authenticity in followers. The present study examines perceptions of employee authenticity and perceived leader authenticity and highlights the utility of jointly examining the congruence between the two to predict individual-level outcomes. The present study utilized Qualtrics Panels to recruit three waves of survey participants. A total of 420 participants responded to all three time points. Polynomial regression, response surface modeling, and a block variable approach with indirect effects were used to test our hypotheses. Results supported the effect of authenticity congruence on individual-level work-related outcomes. Leader-member exchange was found to be a mediating variable between leader-follower authenticity congruence and outcomes in the work and non-work domains.

Human-Autonomy Teaming: Definitions, Debates, and Directions.

Researchers are beginning to transition from studying human-automation interaction to human-autonomy teaming. This distinction has been highlighted in recent literature, and theoretical reasons why the psychological experience of humans interacting with autonomy may vary and affect subsequent collaboration outcomes are beginning to emerge (de Visser et al., 2018; Wynne and Lyons, 2018). In this review, we do a deep dive into human-autonomy teams (HATs) by explaining the differences between automation and autonomy and by reviewing the domain of human-human teaming to make inferences for HATs. We examine the domain of human-human teaming to extrapolate a few core factors that could have relevance for HATs. Notably, these factors involve critical social elements within teams that are central (as argued in this review) for HATs. We conclude by highlighting some research gaps that researchers should strive toward answering, which will ultimately facilitate a more nuanced and complete understanding of HATs in a variety of real-world contexts.

Factors affecting trust in high-vulnerability human-robot interaction contexts: A structural equation modelling approach.

The current research proposed and tested a structural equation model (SEM) that describes hypothesized relationships among factors affecting trust in human-robot interaction (HRI) such as trustworthiness, human-likeness, intelligence, perfect automation schema (PAS), and affect. A video stimulus depicting an autonomous guard robot interacting with humans was employed as a stimulus via Amazon's Mechanical Turk to recruit 233 participants. Human-related and robot-related metrics were found to affect trustworthiness that subsequently affected trust. In particular, ability (as a trustworthiness facet) was a dominant factor affecting trust in HRI. Integrity was found to mediate the relationships between robot- and human-related metrics and trustworthiness. This study also showed a correlation between intelligence and trustworthiness, as well as between PAS and trustworthiness. The findings of the present study have significant implications for both theory and practice on factors and levels that affect trust in HRI.

Collective Efficacy as a Mediator of the Trustworthiness - Performance Relationship in Computer-Mediated Team-based Contexts.

The current study investigated the role of trustworthiness perceptions at the individual level and collective efficacy at the team level on team performance in computer-mediated teams using multi-level structural equation modeling (MSEM). It was hypothesized that trustworthiness perceptions and collective efficacy would predict team performance, and collective efficacy would partially mediate the trustworthiness - performance relationship in computer-mediated teams. Sixty-four teams (five participants each) engaged in a computer-mediated task across two experimental sessions. Trustworthiness measured after session 1, collective efficacy measured after sessions 1 and 2, and team performance measured of sessions 1 and 2 were used to build the MSEM. The half longitudinal model for assessing mediation was used to examine the influence of trustworthiness perceptions on performance through collective efficacy over time. Results demonstrated support for the hypothesized model, such that trustworthiness perceptions demonstrated indirect effects on performance through collective efficacy. These findings extend past research by identifying an emergent mechanism by which trustworthiness is important for team performance in computer-mediated teams.

Trusting Robocop: Gender-Based Effects on Trust of an Autonomous Robot.

Little is known regarding public opinion of autonomous robots. Trust of these robots is a pertinent topic as this construct relates to one's willingness to be vulnerable to such systems. The current research examined gender-based effects of trust in the context of an autonomous security robot. Participants (N = 200; 63% male) viewed a video depicting an autonomous guard robot interacting with humans using Amazon's Mechanical Turk. The robot was equipped with a non-lethal device to deter non-authorized visitors and the video depicted the robot using this non-lethal device on one of the three humans in the video. However, the scenario was designed to create uncertainty regarding who was at fault - the robot or the human. Following the video, participants rated their trust in the robot, perceived trustworthiness of the robot, and their desire to utilize similar autonomous robots in several different contexts that varied from military use to commercial use to home use. The results of the study demonstrated that females reported higher trust and perceived trustworthiness of the robot relative to males. Implications for the role of individual differences in trust of robots are discussed.

Human-human reliance in the context of automation.

OBJECTIVE: The current study examined human-human reliance during a computer-based scenario where participants interacted with a human aid and an automated tool simultaneously. BACKGROUND: Reliance on others is complex, and few studies have examined human-human reliance in the context of automation. Past research found that humans are biased in their perceived utility of automated tools such that they view them as more accurate than humans. Prior reviews have postulated differences in human-human versus human-machine reliance, yet few studies have examined such reliance when individuals are presented with divergent information from different sources. METHOD: Participants (N = 40) engaged in the Convoy Leader experiment.They selected a convoy route based on explicit guidance from a human aid and information from an automated map. Subjective and behavioral human-human reliance indices were assessed. Perceptions of risk were manipulated by creating three scenarios (low, moderate, and high) that varied in the amount of vulnerability (i.e., potential for attack) associated with the convoy routes. RESULTS: Results indicated that participants reduced their behavioral reliance on the human aid when faced with higher risk decisions (suggesting increased reliance on the automation); however, there were no reported differences in intentions to rely on the human aid relative to the automation. CONCLUSION: The current study demonstrated that when individuals are provided information from both a human aid and automation,their reliance on the human aid decreased during high-risk decisions. APPLICATION: This study adds to a growing understanding of the biases and preferences that exist during complex human-human and human-machine interactions.

The dynamic nature of the stress appraisal process and the infusion of affect.

Very little is known about the process in which people reappraise a stressful environment or the factors that may influence this process. In the current study, we address the several limitations to previous research regarding stress reappraisals and explore the role of affect on this process. A total of 320 participants (mean age = 20 years, 60% male) completed an increasingly demanding team-based coordination task. Mood and stress appraisals were assessed at three time points using self-report surveys during four different waves of data collection. The longitudinal design enabled us to assess primary and secondary reappraisals (change in appraisals during the experiment), task-irrelevant affect (affect assessed prior to experiment participation), and task-relevant affect (change in affect experienced during the experiment). Guided by the Transactional Theory of Stress, we argue that the relationship between primary reappraisal and secondary reappraisal is an accurate representation of a dynamic stress appraisal process. We found that participants were more likely to engage in the stress appraisal process when they experienced less task-irrelevant positive affect and greater task-relevant positive affect. Both task-irrelevant and task-relevant negative affect were not found to influence the stress appraisal process.

The influence of neuroticism, extraversion and openness on stress responses.

The present research moved beyond focusing on negative dispositions to investigate the influence of positive aspects of personality, namely extraversion and openness, on stress responses including appraisals, affect and task performance. Challenge appraisals occur when stressor demands are deemed commensurate with coping resources, whereas threat appraisals occur when demands are believed to outweigh coping resources. We examined the unique influence of personality on stress responses and the mediating role of appraisals. Personality was assessed, and then participants (N = 152) were exposed to a validated math stressor. We found unique effects on stress responses for neuroticism (high threat and negative affect and low positive affect), extraversion (high positive and low negative affect) and openness (high positive and low negative effect and better performance). Mediation analyses revealed that neuroticism indirectly worsened performance, through threat appraisals, and that openness indirectly increased positive affect through lower threat. These findings highlight the importance of investigating multiple aspects of personality on stress responses and provide an avenue through which stress responses can be changed-appraisals. Only by more broad investigations can interventions be tailored appropriately for different individuals to foster stress resilience.

Trustworthiness and IT suspicion: an evaluation of the nomological network.

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.