Measures Of Trust Research Articles

Overconfident leaders? Testing the effect of misaligned leader-member-exchange perceptions on the relationship between justice, trust and organizational performance measures

The purpose of this paper is to examine the effect of manager and employee perception of justice and trust on workplace outcomes, by testing the mediating effect of employee trust on the relationship between organisational justice and performance measures (absence rate, financial performance, labour productivity, product quality). Then, the effect of manager overconfidence as a moderator of this relationship is tested. Management and employee data from 1462 workplaces in the UK were analysed. Path analysis was used to test the moderated mediation model. The results show that employee trust mediates the relationship between organisational justice and financial performance, labour productivity, and quality of product or service. Manager overconfidence was found to moderate the indirect effect of both interpersonal justice and procedural justice on these three performance outcomes through employee trust. Understanding the relationships between justice, trust and organisational outcomes, as well as the effect of managerial overconfidence thereupon, helps managers and decision-makers to design better policies in the interest of the firm’s performance.

An Experimental Investigation of Trusting Behaviour

In this paper, we present the results of an experiment conducted in Italy on trusting behaviour. Our subjects participated in a trust game and filled in a questionnaire on trust and trustworthiness based on the attitudinal questions reported in the European Value Survey. The aims of the research are twofold. Firstly, using the experimental dataset, we construct two measures of trustworthiness among all recipients in the experiment, one based on the questionnaires’ answers and another based on the strategy method. We then compare the ex-ante behavioural decision to trust (before participants are allocated to a group) with the ex-post decision to trust (after participants are allocated to a group and trustors are informed of the level of trustworthiness of all the recipients who have been randomly allocated to each group). Our main finding is that trust strongly varies once the information is disclosed to trustors. The effect on trust is greater when the strategy method is used. Secondly, we compare the behavioural measure of trust with the attitudinal measures of trust and trustworthiness and find that there is only a weak correlation between the two measures, thus confirming, for the Italian case, similar findings in country-based studies on trust.

Validating a German Version of the Conspiracy Mentality Scale (CMS)

Increased scientific interest in conspiracy beliefs raises the need for validated individual difference measures in the general tendency to believe in conspiracy theories, otherwise referred to as conspiracy mentality. In this article, we present a German language version of the Conspiracy Mentality Scale (CMS). A representative sample of German-speaking Swiss residents (N = 468) filled in the scale, along with measures of trust in several sources of information, need for social validation, compliance with Covid-19 preventive measures, perceived severity of the pandemic, loneliness, functional literacy and interpersonal conflict. Confirmatory factor analysis supported the two-dimensional structure of the original scale. Positive correlations between conspiracy theory ideation and trust in friends and the need for social validation on the one hand, and negative correlations with trust in scientific publications and scientific experts, perceived severity of the pandemic and functional literacy on the other hand supported construct validity. We conclude that our German language version of the scale is a valid measure of conspiracy theory ideation and skepticism.

Individual uniqueness in trust profiles and well-being: Understanding the role of cultural tightness-looseness from a representation similarity perspective.

This paper provides a unique perspective for understanding cultural differences: representation similarity-a computational technique that uses pairwise comparisons of units to reveal their representation in higher-order space. By combining individual-level measures of trust across domains and well-being from 13,823 participants across 15 nations with a measure of society-level tightness-looseness, we found that any two countries with more similar tightness-looseness tendencies exhibit higher degrees of representation similarity in national interpersonal trust profiles. Although each individual's trust profile is generally similar to their nation's trust profile, the greater similarity between an individual's and their society's trust profile predicted a higher level of individual life satisfaction only in loose cultures but not in tight cultures. Using the framework of representation similarity to explore cross-cultural differences from a multidimensional, multi-national perspective provide a comprehensive picture of how culture is related to the human activities.

A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspective

User trust in Artificial Intelligence (AI) enabled systems has been increasingly recognized and proven as a key element to fostering adoption. It has been suggested that AI-enabled systems must go beyond technical-centric approaches and towards embracing a more human-centric approach, a core principle of the human-computer interaction (HCI) field. This review aims to provide an overview of the user trust definitions, influencing factors, and measurement methods from 23 empirical studies to gather insight for future technical and design strategies, research, and initiatives to calibrate the user-AI relationship. The findings confirm that there is more than one way to define trust. Selecting the most appropriate trust definition to depict user trust in a specific context should be the focus instead of comparing definitions. User trust in AI-enabled systems is found to be influenced by three main themes, namely socio-ethical considerations, technical and design features, and user characteristics. User characteristics dominate the findings, reinforcing the importance of user involvement from development through to monitoring of AI-enabled systems. Different contexts and various characteristics of both the users and the systems are also found to influence user trust, highlighting the importance of selecting and tailoring features of the system according to the targeted user group’s characteristics. Importantly, socio-ethical considerations can pave the way in making sure that the environment where user-AI interactions happen is sufficiently conducive to establish and maintain a trusted relationship. In measuring user trust, surveys are found to be the most common method followed by interviews and focus groups. In conclusion, user trust needs to be addressed directly in every context where AI-enabled systems are being used or discussed. In addition, calibrating the user-AI relationship requires finding the optimal balance that works for not only the user but also the system.

Is Social Trust a Governance Mechanism? Evidence From Dividend Payouts of Chinese Firms

AbstractWhile management studies show that micro‐level trust within and between firms affects firm performance and innovation, it is unclear how macro‐level trust, namely social trust, affects corporate decisions. Addressing this is important because micro‐level trust is shaped by macro‐level social norms. A growing literature finds that corporations are influenced by local social norms. Drawing from this insight and using various measures of social trust, we examine the impact of social trust on dividend payouts. We find that levels of social trust, both in terms of directly measured trust and trust inferred from concomitant levels of civic social capital, negatively impact dividend payouts of local firms across Chinese provinces. We argue that community social trust supplies governance and plays a substitute role for dividend payouts, with a higher level of social trust engendering a lower demand for dividend payouts. This negative effect is more pronounced for younger firms, companies with high growth potential and firms in regions of less‐developed institutional environments. We further show that agency cost plays an important mediating role, since high social trust reduces agency cost, jointly affecting dividends. Firms in high‐trust regions make meaningful use of their greater retained earnings for research and development and innovations.

Automatic sea state estimation with online trust measure based on ship response measurements

The ever-changing sea state constitutes an integral part of situational awareness for vessels at sea. In this paper, a computationally efficient sea state estimation algorithm is extended by (1) automatic gain and tolerance calculation, and (2) trust measure for wave filtering condition identification. The resulting algorithm can run online in a control system without the need of user input, producing estimates of sea state parameters (significant wave height, peak wave frequency and main propagation direction), while simultaneously monitoring the quality of the estimates produced by identifying when wave filtering occurs. The algorithm is developed for application in dynamic positioning (DP) control systems, where the vessel has zero (or low) forward speed. The estimation method is tested with realistic values of measurement noise and sampling in terms of comprehensive time series simulations based on both long- and short-crested wave conditions. The sea state estimates correspond well with a state-of-the-art Bayesian estimation approach. This indicates that the simplifications made in order to enhance the computational speed, has not affected the quality of the estimates to any significant extent. The trust measure correctly identifies when wave filtering occurs in all simulated scenarios.

The Contemporary Social Contract and Conditions of Climate Policy Intractability

Observable declines in public trust in media, government, and science have contributed to intractable climate policy conditions in the time since the landmark consensus of the 1987 Montreal Protocol. This commentary considers how scholars might measure the influence these declivities in public trust have had on the policy process. With attention to how these factors constrain the contemporary social contract, policy scholars can begin to conduct a wide range of exploratory statistical analyses to examine how declines in public trust reduce individuals’ willingness to sacrifice for the greater good and increase the likelihood of policy stagnation. Rather than examine the effective workings of the policy process, this commentary encourages scholars to confront instances of intractability and integrate measures of public trust that may be used to identify practices that nudge intransigent publics toward urgent policy reforms, restore confidence in epistemic communities, and promote consensus in international climate policy deliberations.

Towards Human Objective Real-Time Trust of Autonomy Measures for Combat Aviation

ABSTRACT Objective Can objective trust indicators be measured and computed in real time in a within visual range aerial combat “dogfight” scenario consisting of a manned autonomous own-ship versus an adversary? Background Previous research has focused on human trust of automation during simulated ground combat and human trust of civil aviation automation. Those studies largely consisted of subjective measures of trust analyzed post-hoc. Human trust of autonomy in high-risk situations such as dogfighting had not yet been studied. Method Nine evaluation pilots participated in an experiment that consisted of nine operationally relevant live-flight vignettes during which they conducted a mission manager task while simultaneously monitoring an autonomous agent controlling their own-ship in an aerial dogfight. Eye tracking, objective real-time mental workload, and mission manager task performance were all recorded. Results Potential indicators of trust were objectively measured in real-time as a function of autonomy disengagement, human cross-check ratio of autonomy, and real-time objective mental workload, as validated by traditional subjective trust measures. Measured trust still needs to be categorized as appropriate trust, overtrust, or undertrust in future work. Conclusion This first-ever real-time measure of objective indicators of trust in operationally relevant live-flight paves the way for determining appropriate human trust of autonomy in high-risk situations such as dogfighting. These measures could have utility in high-risk manned-unmanned teaming applications such as working with robots and automated trading.

Demonstrating institutional trustworthiness: A framework for pharmacy regulatory authorities.

Self-regulation is well suited for health care providers as the distinctive knowledge requirements can be effectively managed by those with the specific knowledge base compared to national or provincial/state governments. Despite their prevalence and long history in health care, self-regulating professions have become a topic of increasing debate as a result of evidence of declines in trust in a number of institutional contexts. It is important that Pharmacy Regulatory Authorities (PRAs), as the regulating body for a critical health profession, can demonstrate and proactively respond to issues related to public trust. Such capabilities are needed to address an overall decline in trust in self-regulated professions and allow PRAs to quickly address issues that may impact public trust within their own jurisdiction. However, a process and best practices that allow PRAs to demonstrate institutional trustworthiness to the public is lacking. Given the need from both a research and practice perspective, this research develops a conceptual framework of how PRAs can demonstrate institutional trustworthiness to the public. The literature was reviewed to identify dominant themes associated with regulatory practice that would serve to demonstrate institutional trustworthiness of PRAs to the public. Eight best practice themes emerged: public interest objective, transparency, engagement, accountability, independence, collaboration, adaptability, and awareness. The conceptual framework is comprised of six key steps, related to defining public interest orientation, implementing trust-related best practices, developing a communication strategy to increase public awareness of PRA activities, monitoring symbolic capital, assessing public trust in registrants (interpersonal trust), and assessing public and registrant trust in the regulator (institutional trust). Future research should develop pharmacy-focused instruments related to trust, establish baseline measures of registrant and public trust in pharmacy regulatory authorities, and explore issues of public trust in PRAs between different cultures and developed and developing countries.

Measuring particularized trust: A name generator approach

In the social sciences, trust scholars largely divide their interests between two streams of research: one on generalized trust and one on particularized trust. While recent developments in the measurement of generalized trust have pushed the literature forward, similar improvements to the measurement of particularized trust have lagged behind. In this article, I advance trust research by (1) developing an egocentric particularized trust (EPT) instrument based on a multiple name generator approach, and (2) assessing EPT’s empirical performance across numerous psychometric tests. Results from a general population quota sample (N = 2041) indicate that EPT consists of two separate latent constructs, one for personally known others (EPT-K) and one for family members (EPT-F). Using traditional measures of particularized trust as benchmarks, I find that EPT-K and EPT-F provide the most valid and reliable measures of particularized trust. I conclude by discussing implications and directions for future research.

Response scale overstretch: linear stretching of response scales does not ensure cross-project equivalence in harmonised data

Differences in the response-scale formats constitute a major challenge for ex-post harmonisation of survey data. Linear stretching of original response options onto a common range of values remains a popular response to format differences. Unlike its more sophisticated alternative, simple stretching proves readily applicable without requiring assumptions regarding scale length or access to auxiliary information. The transformation only accounts for response scale length, ignoring all other aspects of measurement quality, which makes the equivalence of harmonised survey variables questionable. This paper focuses on the inherent limitations of linear stretching based on a case study focusing on the measurements of trust in the European Parliament by the Eurobarometer and the European Social Survey—8 timewise corresponding survey waves in 14 European countries (2004–2018). Our analysis demonstrates that the linear stretch approach to harmonising question items with different underlying response scale formats does not make the results of the two surveys equivalent. Despite harmonisation, response scale effects are retained in the distributions of output variables.

Initial Trust and Usage Intention: A Study on Mobile Payment Adoption in Bangladesh

Mobile payment (m-payment) still lacks widespread acceptance among Bangladeshi users despite its enormous possibilities. Previous studies have identified the reasons behind such reluctant usage intentions based on the data collected from regular m-payment users in Bangladesh. However, in Bangladesh, no study has considered the first-time user experience, which reflects initial trust yet. Therefore, the study was undertaken to identify the factors determining initial trust and their impact on m-payment usage intention in Bangladesh. We applied the structural equation modelling method to conduct an analysis of 284 first-time m-payment user data in Bangladesh. Initial trust was found positively influenced by perceived ubiquity, perceived security and perceived ease of use; perceived usefulness and the intention to use m-payments were found positively affected by initial trust. The study also revealed the positive association of users’ personal innovativeness and the negative association of perceived cost on m-payment usage intention. The mediation effects of initial trust were also found significant. The study recommends building initial user trust and service provider measures to encourage m-payment usage intention.

Refugee return and social cohesion

Abstract Refugee return often involves the re-encounter of individuals who were separated for years, but we know little about its impact on social cohesion. We explore this impact using data from a nationwide survey that we conducted in Burundi, a country that experienced high levels of repatriation during the 2000s. We find that refugee return has a negative impact on the feeling that community members help each other, could borrow money for emergencies from non-household members, and the feeling that the community is peaceful. The impacts on measures of reconciliation, post-conflict justice, trust, and participation in community groups are mostly statistically insignificant. We also explore how these effects differ across different sub-samples based on ethnic composition, pre-war land scarcity, and attitudes towards return. The results highlight the possible role of new migration-related societal divisions in affecting post-return social cohesion.

"You can't touch, you can't bond": Exploring COVID-19 pandemic impacts on rheumatoid arthritis patient goals and communication with clinicians.

"You can't touch, you can't bond": Exploring COVID-19 pandemic impacts on rheumatoid arthritis patient goals and communication with clinicians.

Paranormal Beliefs, Vaccine Confidence, and COVID-19 Vaccine Uptake

Abstract Conservative religious ideologies have been linked to vaccine hesitancy. Yet, little is known about how paranormal beliefs relate to vaccine confidence and uptake. We hypothesize that paranormal beliefs will be negatively related to both confidence and uptake due to their association with lower levels of trust in science and a greater acceptance of conspiratorial beliefs. We test this hypothesis using a new nationally representative sample of U.S. adults fielded in May and June of 2021 by NORC. Using regression models with a sample of 1,734, we find that paranormal beliefs are negatively associated with general vaccine confidence, COVID-19 vaccine confidence, and COVID-19 vaccine uptake. These associations are partially or fully attenuated net of trust in science and conspiratorial belief. Although not a focus of the study, we also find that Christian nationalism’s negative association with the outcomes is fully accounted for by measures of trust in science and conspiratorial beliefs.

Implementation and Performance Analysis of Constellation Dynamic Selection in Multi-Constellation RAIM.

Global navigation satellite system (GNSS) plays a crucial role in many fields, such as aerospace and transportation. Integrity is the measure of trust used in GNSS positioning especially in safety-critical applications. Advanced receiver autonomous integrity monitoring (ARAIM), taking full advantage of multi-constellation GNSS, shows huge potential to provide vertical navigation in civil aviation en route navigation and terminal approaches. However, the multi-constellation ARAIM also greatly exposes computational complexity and potential performance hazards in fault modes determination and fault-tolerant positioning. From the perspective of integrity risk control, rather than the pursuit of better positioning accuracy blindly for safety-critical applications, the concept of constellation dynamic selection is proposed and implemented in ARAIM and the performance analysis is discussed in this paper. Only the best two constellations which have the best vertical geometry performance are involved in ARAIM calculation anytime anywhere. The proposed method shows superiority in both integrity availability and computational complexity in both simulations and actual GNSS signal experiments. While the computational complexity is less than 10% of that using four constellations, 100% availability under LPV-200 criteria can be achieved in worldwide coverage experiment. The proposed method also overcomes the shortcomings of ARAIM with two fixed constellations and shows good robustness under depleted scenarios. Furthermore, the statistics results from observation stations proved the applicability and generality of the proposed method under current developing GNSS constellations.

Trust Measurement in Human-Autonomy Teams: Development of a Conceptual Toolkit

The rise in artificial intelligence capabilities in autonomy-enabled systems and robotics has pushed research to address the unique nature of human-autonomy team collaboration. The goal of these advanced technologies is to enable rapid decision-making, enhance situation awareness, promote shared understanding, and improve team dynamics. Simultaneously, use of these technologies is expected to reduce risk to those who collaborate with these systems. Yet, for appropriate human-autonomy teaming to take place, especially as we move beyond dyadic partnerships, proper calibration of team trust is needed to effectively coordinate interactions during high-risk operations. But to meet this end, critical measures of team trust for this new dynamic of human-autonomy teams are needed. This article seeks to expand on trust measurement principles and the foundation of human-autonomy teaming to propose a “toolkit” of novel methods that support the development, maintenance, and calibration of trust in human-autonomy teams operating within uncertain, risky, and dynamic environments.

How We Perceive and Trust Advice from Virtual Humans: The Influence of Voice Quality

Due to the increase in virtual humans as a pedagogical agent, this study investigates how perceptions of virtual humans are affected by voice quality in understanding a budgeting scenario where trust is essential to learning and application. Eighty-six participants were randomly assigned to three conditions where voice quality for a virtual human varied (human voice, low quality text-to-speech, high quality text-to-speech) when narrating a financial literacy course. Measures of trust and course comprehension were collected. Results of the learning assessment suggest no difference in comprehension based on voice quality of a virtual human. No differences were observed between the voice quality groups in participants' perception of trust, the abilities to facilitate learning, credibility of the agent, human-likeness of the agent, or how engaging the agent was. This is possibly due to the lower age demographic who have become increasingly exposed to virtual human voices through popular platforms such as Tik-Tok.).

Human-Robot Teams: A Discussion of the Emerging Trends

As technology advances, human robot-teams are becoming increasingly commonplace with team interactions taking place in a variety of military, industrial, service, and social settings. Consequently, as HR teams evolve, novel and unique considerations for how these teams interact and perform are rising. The purpose of this panel, therefore, is to host a discussion on state-of-theart issues and emerging trends that practitioners and researchers should scrutinize as the applications of HR teams expands. To provide a diverse set of perspectives, our panelists hail from a variety of backgrounds: military, industry, and academy. Talks will focus on moral and ethical considerations for human-agent decision-making, the influence of robots on team processes in human surgical teams, and on new considerations for trust in human-agent teams, including for covert measures of trust and for the inclusion of team cohesion in trust measurement.