The Psychology (and Economics) of Trust

How COVID-19 illness perceptions and individual shocks are associated with trust during the COVID-19 pandemic in Australia, France, Germany, and South Africa

The COVID-19 pandemic jeopardized individuals' health and economic stability, and the associated shocks might have decreased individuals' trust. In this paper, we study the relationship between subjective perceptions of the pandemic and individuals' institutional and interpersonal trust (e.g., trust towards the government or health representatives), while considering objective health and economic shocks due to the pandemic as drivers. We collected data across Australia, France, Germany, and South Africa during a later stage of the COVID-19 pandemic (i.e., from mid-April to early-June 2021) when individuals had time to personally experience the pandemic and its effects. COVID-19 illness perception was associated with lower institutional and interpersonal trust. The health shock of having experienced COVID-19 was associated with higher interpersonal trust, while economic shocks were associated with lower institutional trust when they were due to the pandemic. The results suggest that public policy interventions in a later stage of a pandemic should consider objective economic and health outcomes as well as subjective ones, such as individual's perceptions. Authorities should communicate in a way that helps concerned people understand that they can take control of their health and the possibility of infection, and reassure them that health measures such as vaccination can help prevent the spread of the virus.

Asymmetric cognitive learning mechanisms underlying the persistence of intergroup bias

Intergroup bias, the tendency to favor ingroups and be hostile towards outgroups, underlies many societal problems and persists even when intergroup members interact and share experiences. Here we study the way cognitive learning processes contribute to the persistence of intergroup bias. Participants played a game with ingroup and outgroup bot-players that entailed collecting stars and could sacrifice a move to zap another player. We found that intergroup bias persisted as participants were more likely to zap outgroup players, regardless of their zapping behavior. Using a computational model, we found that this bias was caused by asymmetries in three learning mechanisms. Participants had a greater prior bias to zap out-group players, they learned more readily about the negative behavior of out-groups and were less likely to attribute the positive behavior of one out-group player to other out-group players. Our results uncover the way cognitive social learning mechanisms shape and confound intergroup dynamics.

"Ick bin een Berlina": dialect proficiency impacts a robot's trustworthiness and competence evaluation

Background: Robots are increasingly used as interaction partners with humans. Social robots are designed to follow expected behavioral norms when engaging with humans and are available with different voices and even accents. Some studies suggest that people prefer robots to speak in the user's dialect, while others indicate a preference for different dialects. Methods: Our study examined the impact of the Berlin dialect on perceived trustworthiness and competence of a robot. One hundred and twenty German native speakers (M age = 32 years, SD = 12 years) watched an online video featuring a NAO robot speaking either in the Berlin dialect or standard German and assessed its trustworthiness and competence. Results: We found a positive relationship between participants' self-reported Berlin dialect proficiency and trustworthiness in the dialect-speaking robot. Only when controlled for demographic factors, there was a positive association between participants' dialect proficiency, dialect performance and their assessment of robot's competence for the standard German-speaking robot. Participants' age, gender, length of residency in Berlin, and device used to respond also influenced assessments. Finally, the robot's competence positively predicted its trustworthiness. Discussion: Our results inform the design of social robots and emphasize the importance of device control in online experiments.

Measuring trust with the Wayfinding Task: Implementing a novel task in immersive virtual reality and desktop setups across remote and in-person test environments

Trust is a key feature of social relationships. Common measures of trust, questionnaires and economic games, lack ecological validity. Hence, we sought to introduce an immersive, virtual reality (VR) measure for the behavioral assessment of trust across remote and in-person settings, building on the maze task of Hale et al. (2018). Our 'Wayfinding Task' consists of an interconnected urban environment for participants to navigate on the advice of two characters of differing trustworthiness. We present four studies implementing the Wayfinding Task in remote and in-person testing environments and comparing performance across head-mounted display (HMD)-based VR and desktop setups. In each study, the trustworthiness of two virtual characters was manipulated, through either a fact sheet providing trustworthiness information, or a behavior-based trustworthiness manipulation task termed the Door Game, based on Van der Biest et al., 2020. Participants then completed the Wayfinding Task. Overall, we found that participant behavior in the Wayfinding Task reflected the relative trustworthiness of the two characters; in particular, the trustworthy character was approached more often for advice, reflecting data from our Door Game. We found mostly null results for our novel outcome measure, interpersonal distance. Remote testing successfully achieved these effects. While HMD-based VR and desktop setups both showed these effects, there was a stronger effect of trustworthiness in the HMD VR version of the task. These results have implications for the measurement of trust in behavioral settings and the use of remote and VR-based testing in social experiments.

A leap of faith: building the trust in human biobanks

Background: Human biobanks are an essential resource for contemporary medical research, crucial in treating and preventing human diseases and improving health. Public trust in human biobanks is a vital social prerequisite for their continued operation and related research. Methods: Drawing on the "leap of faith" theory proposed by Georg Simmel and Guido Möllering, this paper first examines the relationship between public trust and human biobanks and the process through which such trust is established. Subsequently, based on the results of this analysis, targeted policy recommendations are put forward to consolidate or enhance public trust in human biobanks. Results: Public trust in human biobanks stems from certain "good reasons," through which uncertainty and vulnerability are "suspended" by faith, leading to a leap toward the "land of expectations." In this progress, the critical factors in building and enhancing public trust in human biobanks are the public's propensity to trust, the inherent trustworthiness of human biobanks, and the security and interactivity of the trust environment. Conclusion: Public trust in human biobanks cannot be determined by any universal formula, as it is influenced by many factors, including intangible elements such as faith that defy empirical understanding. Nonetheless, public trust in human biobanks can be enhanced through measures such as fostering the public's propensity to trust, enhancing the inherent trustworthiness of human biobanks, establishing structural safeguards for the trust environment through ethical norms, systems, and supervision, and promoting public participation.

The Essential Need for Trust When Transmission Risk Cannot Be Eliminated in HIV-Remission Trials

Analytic treatment interruption (ATI) is scientifically necessary in HIV-remission ("cure") studies to test the effects of new interventions. However, stopping antiretroviral treatment poses risks to research participants and their sexual partners. Ethical debate about whether and how to conduct such studies has largely centered on designing risk-mitigation strategies and identifying the responsibilities of research stakeholders. In this paper, we argue that because the possibility of HIV transmission from research participants to partners during ATI cannot practicably be eliminated-that is, it is ineliminable-the successful conduct of such trials ultimately depends on relationships of trust and trustworthiness. We describe our experiences with conducting and studying HIV-remission trials with ATI in Thailand to examine the strengths, complexities, and limitations of the risk-mitigation and responsibility approaches and to explore ways in which the building of trust-and trustworthiness-may help enhance the scientific, practical, and ethical dimensions of these trials.

How does the vaccine approval procedure affect COVID-19 vaccination intentions?

People's willingness to vaccinate is critical to combating the COVID-19 pandemic. We devise a representative experiment to study how the design of the vaccine approval procedure affects trust in newly developed vaccines and consequently public attitudes towards vaccination. Compared to an Emergency Use Authorization, choosing the more thorough Conditional Marketing Authorization approval procedure increases vaccination intentions by 13 percentage points. The effects of the increased duration of the approval procedure are positive and significant only for Emergency Use Authorization. Treatment effects do not differ between relevant subgroups, such as respondents who had (did not have) COVID-19, or between vaccinated and unvaccinated respondents. Increased trust in the vaccine is the key mediator of treatment effects on vaccination intentions.

Trust toward humans and trust toward artificial intelligence are not associated: Initial insights from self-report and neurostructural brain imaging

The present study examines whether self-reported trust in humans and self-reported trust in [(different) products with built-in] artificial intelligence (AI) are associated with one another and with brain structure. We sampled 90 healthy participants who provided self-reported trust in humans and AI and underwent brain structural magnetic resonance imaging assessment. We found that trust in humans, as measured by the trust facet of the personality inventory NEO-PI-R, and trust in AI products, as measured by items assessing attitudes toward AI and by a composite score based on items assessing trust toward products with in-built AI, were not significantly correlated. We also used a concomitant dimensional neuroimaging approach employing a data-driven source-based morphometry (SBM) analysis of gray-matter-density to investigate neurostructural associations with each trust domain. We found that trust in humans was negatively (and significantly) correlated with an SBM component encompassing striato-thalamic and prefrontal regions. We did not observe significant brain structural association with trust in AI. The present findings provide evidence that trust in humans and trust in AI seem to be dissociable constructs. While the personal disposition to trust in humans might be "hardwired" to the brain's neurostructural architecture (at least from an individual differences perspective), a corresponding significant link for the disposition to trust AI was not observed. These findings represent an initial step toward elucidating how different forms of trust might be processed on the behavioral and brain level.

Open people are more likely to trust their new team members under subliminal influence

The activation of subliminal stimuli plays an indispensable role in trust research. This study aimed to investigate the effect of subliminal stimuli on team trust and the moderating role of openness on the relationship between subliminal stimuli and team trust. A total of 155 participants were recruited to complete five tasks. The results suggested a significant influence of subliminal stimuli on team trust and the significant moderating role of openness. This study revealed the mechanism of the effect of subliminal stimuli on team trust, which lays an empirical foundation for individualized team trust improvement intervention. The current study provided novel insights that subliminal priming technology offers a new way to improve team trust.

The effect of subliminal priming on team trust: The mediating role of perceived trustworthiness

The present study aimed to explore the effect of subliminal priming on team trust and the mechanism through the mediating role of perceived trustworthiness. A total of 144 participants were asked to complete a lexical decision task that was embedded with the "trust" or "suspicion" Chinese words as the subliminal stimuli. Then, they played a public good game and evaluated the perceived trustworthiness of the team. The results of the study showed that subliminal stimuli had a significant effect on team trust [β = -0.99, 95% CI = (-1.64, -0.33)]. Perceived trustworthiness was found to have a significant mediating effect between the priming condition and team trust [β = -0.35, 95% CI = (-0.72, -0.02)]. The current study revealed the underlying mechanism through which subliminal priming techniques influence team trust and informed efforts by altering perceived trustworthiness.

Trust as a key measure of quality and safety after the restriction of family contact in Canadian long-term care settings during the COVID-19 pandemic

Family caregivers in Canadian long-term care homes are estimated to provide 10 h per week of direct care to approximately 30% of residents through roles including mobility support, mealtime assistance, personal care, social interaction, psychological care, care coordination, and advocacy. Despite these contributions, they continue to be viewed as visitors rather than as key participants in the interdependent relationships that support the long-term care sector. Their marginalization was evident during the COVID-19 pandemic, as Canadian public health policy focused on preventing them from entering long-term care, rather than supporting personal risk management, symptom screening, personal protective equipment, and other mechanisms for safe involvement in care. Several iatrogenic resident outcomes have been attributed to this, including decreased cognitive function, decreased mobility, increased incontinence, weight loss, increased depression and anxiety, increased responsive behaviours amongst those living with dementia, and increased delirium. In this commentary article, we argue that family caregiver presence was conflated as a risk when instead, it contributed to unintended harm. We identify nine well-known human social cognitive predispositions that may have contributed to this. We then examine their implications for trust in long-term care, and consider how quality and safety can be further fostered in long-term care by working in partnership with family caregivers to rebuild trust through enquiry and collaboration. We advocate incorporating trust as an essential measure of quality health service.

Taking a Shot: The Impact of Information Frames and Channels on Vaccination Willingness in a Pandemic

The reluctance of people to receive safe and recommended available vaccines is a well-documented public health challenge. As information and communication technologies evolve, this challenge gets more complex and even harder to manage during complex public health situations. In this experimental study, we examine the relationship between vaccine information frames (with scientific information vs. without scientific information) and channels (through government vs. religious organizations) and vaccination willingness in the U.S. in the context of a pandemic. Additionally, we evaluate the interaction between vaccine skepticism, vaccine information frames, and vaccine information channels on vaccination willingness. This experimental study uses data from Amazon Mechanical Turk (MTURK) to evaluate the relationships between vaccine skepticism, vaccine information frames, and channels on vaccination willingness. We find that contrary to our hypothesis, a vaccine advisory framed with scientific information decreases people's vaccination willingness compared to one framed without scientific information. Additionally, the impact of framing on vaccination willingness is conditioned on participants' skepticism-participants who hold skepticism toward the vaccine but received information framed with scientific information score significantly higher in vaccination willingness compared to participants who do not hold skepticism toward a vaccine. The results suggest that the factors impacting vaccination willingness are complex and nuanced. Thus, policymakers should be more strategic with the delivery of vaccination information, especially during complex health crises.

Party over pandemic: Polarized trust in political leaders and experts explains public support for COVID-19 policies

Two experiments examined the polarization of public support for COVID-19 policies due to people’s (lack of) trust in political leaders and nonpartisan experts. In diverse samples in the United States (Experiment 1; N = 1,802) and the United Kingdom (Experiment 2; N = 1,825), participants evaluated COVID-19 policies that were framed as proposed by ingroup political leaders, outgroup political leaders, nonpartisan experts, or, in the United States, a bipartisan group of political leaders. At the time of the study in April 2020, COVID-19 was an unfamiliar and shared threat. Therefore, there were theoretical reasons suggesting that attitudes toward COVID-19 policy may not have been politically polarized. Yet, our results demonstrated that even relatively early in the pandemic people supported policies from ingroup political leaders more than the same policies from outgroup leaders, extending prior research on how people align their policy stances to political elites from their own parties. People also trusted experts and ingroup political leaders more than they did outgroup political leaders. Partly because of this polarized trust, policies from experts and bipartisan groups were more widely supported than policies from ingroup political leaders. These results illustrate the potentially detrimental role political leaders may play and the potential for effective leadership by bipartisan groups and nonpartisan experts in shaping public policy attitudes during crises.

Superior bias in trust-related decisions

Trust is conditional. Many studies have revealed its relative conditions in different situations, but when social status is characteristic of the person who receives trust (the “trustee”), our knowledge of how social status affects trust still remains limited. In this study, we used the trust game in order to: (1) characterize the effect of trustees’ social hierarchy on trust-related decisions in different trustworthiness situations and (2) explore the underlying computational process regarding the impact that social status has on trust-related decisions by using the computational modeling approach to integrate social status into trust-related situations. In Experiment 1, using a one-shot trust game with no feedback of information about reciprocity, we found that compared with inferiors, superiors gained more trust-related behaviors (investments) in spite of the fact that they were not rated as having higher trustworthiness. Then, in Experiment 2, when we controlled the trustworthiness of different social status partners by providing the same neutral reciprocity rate (50%) in a repeated trust game, the high-status partner gained more trust than the low-status partner. This superior bias extended to Experiment 3a and 3b, in which we set different levels of trustworthiness to match the different social statuses of partners. With respect to modeling results, we found that higher status holds an additional social value independent of trust profit, resulting in superior bias. Ultimately, this study has shed light on the superior bias that commonly leads people to grant high-status individuals goodwill in social interactions.

Looking for Ties with Secret Agendas During the Pandemic: Conspiracy Mentality is Associated with Reduced Trust in Political, Medical, and Scientific Institutions - but Not in Medical Personnel

In a preregistered research, we examined the relationships between conspiracy mentality (i.e., the individual susceptibility to endorse conspiracy theories, Bruder et al., 2013) and trust in three actors of the COVID-19 crisis: 1) Political institutions, 2) scientific and medical institutions, and 3) the medical personnel. While the two former groups have played a direct or indirect role in decisions related to public health measures, the latter has not. We expected all these relationships to be negative and mediated by the belief that the pandemic is instrumentalized by authorities to pursue secret agendas. In a study conducted with Belgian (N = 1136) and French (N = 374) convenience samples, conspiracy mentality negatively predicted trust in political institutions, and trust in scientific and medical institutions. These relations were partly mediated by belief that the pandemic is instrumentalized by authorities. In addition, distrust in political, medical and scientific institutions were highly and positively correlated, suggesting that these groups may be viewed as part of a same supra-ordinate category - the "Elites". By contrast, we found a small negative relationship between conspiracy mentality and trust in the medical personnel in the Belgian sample, but not in the French sample. Trust in the medical personnel was unrelated to the belief that the pandemic is instrumentalized, and only weakly related to distrust in political institutions. This suggests that individuals with a susceptibility to believe in conspiracy theories may not have a propensity to distrust all actors involved in the management of the pandemic, but only those directly or indirectly tied to decisions pertaining to public health measures.

How transparency modulates trust in artificial intelligence

The study of human-machine systems is central to a variety of behavioral and engineering disciplines, including management science, human factors, robotics, and human-computer interaction. Recent advances in artificial intelligence (AI) and machine learning have brought the study of human-AI teams into sharper focus. An important set of questions for those designing human-AI interfaces concerns trust, transparency, and error tolerance. Here, we review the emerging literature on this important topic, identify open questions, and discuss some of the pitfalls of human-AI team research. We present opposition (extreme algorithm aversion or distrust) and loafing (extreme automation complacency or bias) as lying at opposite ends of a spectrum, with algorithmic vigilance representing an ideal mid-point. We suggest that, while transparency may be crucial for facilitating appropriate levels of trust in AI and thus for counteracting aversive behaviors and promoting vigilance, transparency should not be conceived solely in terms of the explainability of an algorithm. Dynamic task allocation, as well as the communication of confidence and performance metrics-among other strategies-may ultimately prove more useful to users than explanations from algorithms and significantly more effective in promoting vigilance. We further suggest that, while both aversive and appreciative attitudes are detrimental to optimal human-AI team performance, strategies to curb aversion are likely to be more important in the longer term than those attempting to mitigate appreciation. Our wider aim is to channel disparate efforts in human-AI team research into a common framework and to draw attention to the ecological validity of results in this field.

Balancing risk and trust for strategic alliance formation decisions

Purpose

Trust entails the assumption of risk by the trustor to the extent that the trustee may act in a manner unaligned with the trustor's interests. Before a strategic alliance is formed, each firm formulates a subjective assessment regarding whether the other firm will behave in a trustworthy manner and not act opportunistically. To inform this partner analysis and selection process, the authors leverage the concept of value of information to quantify the benefit of information gathering activities on the trustworthiness of a potential trustee.

Design/methodology/approach

In this paper, the authors develop a decision model that explicitly operationalizes trust as the subjective probability that a trustee will act in a trustworthy manner. The authors integrate the concept of value of information related to information gathering activities, which would inform a trustor about a trustee's trustworthiness.

Findings

Trust inherently involves some degree of risk, and the authors find that there is practical value in carrying out information gathering activities to facilitate the partner analysis process. The authors present a list of trustworthiness indicators, along with a scoring sheet, to facilitate learning more about a potential strategic alliance partner.

Originality/value

The need for a quantitative model that can support risk-based strategic alliance decision-making for partner analysis represents a research gap in the literature. The modeling of strategic alliance partner analysis decisions from a value of information (VOI) perspective adds a contribution to the trust literature.

The experience of trust in everyday life

In this contribution, we review current research on daily-life experiences of trust in diverse and naturally occurring social interactions ranging from close relationships to complete strangers. Experience-sampling methodology allows the joint examination of situational, relational, dispositional, motivational, and behavioral variables in their relation to trust. Thereby, these recent studies advance our understanding of how trust is shaped by important features of the social situation such as perceived conflict of interest. They elucidate how trust fluctuates in accordance with stable traits, and how these traits interact with situational variables (e.g., social closeness to the target). Furthermore, trust connects social perceptions of trustees with trustors' prosocial tendencies.

How Adolescents and Adults Learn About Changes in the Trustworthiness of Others Through Dynamic Interaction

Whether to trust or distrust another individual is a complex interpersonal challenge, especially when such individuals behave inconsistently. It is still unclear as to how individuals learn and adapt to fluctuations in the trustworthiness of others and how this process changes from adolescence to adulthood. To address these issues, we implemented repeated rounds of a trust game within the context of a complicated and changeable interpersonal environment. Specifically, adolescents and adults played the role of trustors who had to decide whether to invest money in two anonymous partners carrying the risk of no reciprocation. Unbeknownst to participants, these two partners had different trustworthiness profiles: one partner initially yielded a higher initial return rate (70%) while the other initially yielded a lower initial return rate (30%). Crucially, over repeated rounds, these two partners gradually changed their responses to the point where, finally, return rates were both neutral (50%). Results indicated that all participants showed less updating in the negative direction in response to good-to-neutral partners while more updating in the positive direction in response to the bad-to-neutral partner. Compared to adults, this behavioral disparity in responses to good-to-neutral and bad-to-neutral partners was less pronounced in adolescents. Based on the computational modeling approach, the potential mechanisms underlying their behavioral patterns were revealed: the higher learning rate promoted flexible adaptions in participants to untrustworthy trustees as they changed to neutral. The less pronounced distinction between good-to-neutral and bad-to-neutral partners in adolescents was related to their lower learning rate. Overall, our study extends the understanding of trust behavior to a fluctuating social context and highlights the role of social learning in social emotion and interaction.

Words beyond the Partial Deed: Prosocial Framing of a Partial-Trust Act Promotes Reciprocation between Strangers

Displaying partial trust in exchanges between strangers is a common practice, but it does not effectively promote reciprocation. This is an intriguing phenomenon that warrants investigations regarding social mechanisms that can promote reciprocation without changing the level of trust. We seek to examine, given a partial-trust act, whether framing the motive underlying the act as prosocial (mutually beneficial) can promote reciprocation in an exchange between strangers. Across three experiments in the United States, we found that trustor prosocial (vs. no-motive) framing can promote trustee reciprocation through trustee felt obligation and that this effect is particularly strong among trustees with a strong rather than weak exchange orientation. Concurrently, this prosocial framing effect can operate serially through trustee perceived invitation for exchange and felt obligation. Our findings help address the conundrum of promoting reciprocation without introducing deleterious uncertainty about social motives given a partial-trust act that is prevalent in exchanges at zero acquaintance.

Perspective taking reduces intergroup bias in visual representations of faces

Intergroup biases shape most aspects of person construal, including lower-level visual representations of group members' faces. Specifically, ingroup members' faces tend to be represented more positively than outgroup members' faces. Here, we used a reverse-correlation paradigm to test whether engaging in perspective taking (i.e., actively imagining another person's mental states) can reduce these biased visual representations. In an initial image-generation experiment, participants were randomly assigned to a minimal group and then composed a narrative essay about an ingroup or an outgroup target person, either while adopting the person's perspective or while following control instructions. Afterward, they generated an image of the person's face in a reverse-correlation image-classification task. Subsequent image-assessment experiments using an explicit rating task, a sequential priming task, and an economic trust game with separate samples of participants revealed that ingroup faces elicited more likability and trustworthiness than did outgroup faces. Importantly, this pattern of intergroup bias was consistently weaker in faces created by perspective takers. Additional image-assessment experiments identified the mouth (i.e., smiling cues) as a critical facial region wherein the interactive effects of group membership and perspective taking emerged. These findings provide initial evidence that perspective taking may be an effective strategy for attenuating, though not for eliminating, intergroup biases in visual representations of what group members look like.

Exploring trust in the boardroom: the case of Nordic region

Purpose

This paper aims to understand the relationship between the trust of executives in their board, board effectiveness (board performance and strategic decision quality) and organizational performance (financial and operational performance).

Design/methodology/approach

Data were collected from 184 board members in the Nordic region, using cross-sectional research design. Confirmatory factor analysis was used to test the validity of the used scales, whereas correlational analysis and mediation analysis via PROCESS macro in SPSS were used for testing of the hypotheses.

Findings

Trust between board members is positively correlated with both dimensions of board effectiveness and both tested dimensions of organizational performance. Besides, trust between the board members positively affects both financial and operational performance (significant total effects in mediation analysis). However, trust had a direct effect only on financial performance, whereas it shows an indirect effect on operational performance through both mediators, board performance and strategic decision quality.

Research limitations/implications

Future research should investigate trust into the board using a longitudinal design, and expand the sample cross-culturally, and control for the influence of other interpersonal variables in board members.

Practical implications

The development of trust in work relationships serves as the foundation for the establishment of significant team and organizational benefits. Business leaders should take into consideration trust issues in business teams and cultivate a trust culture in their organizations.

Social implications

The findings advance theoretical, social and empirical understanding of trust of executives in their board and its effect on board performance, strategic decision quality and perceived performance. The development of trust in work relationships enhances team performance, networks with strategic partners, community and government, and serves as the foundation for the establishment of trust in the society.

Originality/value

This is one of the scarce studies that examines direct and indirect effects of trust in board and organizational outcomes.

Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland

The use of artificial intelligence (AI) in companies is advancing rapidly. Consequently, multidisciplinary research on AI in business has developed dramatically during the last decade, moving from the focus on technological objectives towards an interest in human users’ perspective. In this article, we investigate the notion of employees’ trust in AI at the workplace (in the company), following a human-centered approach that considers AI integration in business from the employees’ perspective, taking into account the elements that facilitate human trust in AI. While employees’ trust in AI at the workplace seems critical, so far, few studies have systematically investigated its determinants. Therefore, this study is an attempt to fill the existing research gap. The research objective of the article is to examine links between employees’ trust in AI in the company and three other latent variables (general trust in technology, intra-organizational trust, and individual competence trust). A quantitative study conducted on a sample of 428 employees from companies of the energy and chemical industries in Poland allowed the hypotheses to be verified. The hypotheses were tested using structural equation modeling (SEM). The results indicate the existence of a positive relationship between general trust in technology and employees’ trust in AI in the company as well as between intra-organizational trust and employees’ trust in AI in the company in the surveyed firms.

Explanations from a Robotic Partner Build Trust on the Robot’s Decisions for Collaborative Human-Humanoid Interaction

Typically, humans interact with a humanoid robot with apprehension. This lack of trust can seriously affect the effectiveness of a team of robots and humans. We can create effective interactions that generate trust by augmenting robots with an explanation capability. The explanations provide justification and transparency to the robot’s decisions. To demonstrate such effective interaction, we tested this with an interactive, game-playing environment with partial information that requires team collaboration, using a game called Spanish Domino. We partner a robot with a human to form a pair, and this team opposes a team of two humans. We performed a user study with sixty-three human participants in different settings, investigating the effect of the robot’s explanations on the humans’ trust and perception of the robot’s behaviour. Our explanation-generation mechanism produces natural-language sentences that translate the decision taken by the robot into human-understandable terms. We video-recorded all interactions to analyse factors such as the participants’ relational behaviours with the robot, and we also used questionnaires to measure the participants’ explicit trust in the robot. Overall, our main results demonstrate that explanations enhanced the participants’ understandability of the robot’s decisions, because we observed a significant increase in the participants’ level of trust in their robotic partner. These results suggest that explanations, stating the reason(s) for a decision, combined with the transparency of the decision-making process, facilitate collaborative human–humanoid interactions.

The only-child effect in the neural and behavioral signatures of trust revealed by fNIRS hyperscanning

In daily life, trust is important in interpersonal interactions. However, little is known about interpersonal brain synchronization with respect to trust; in particular, the differences between individuals with and without siblings are not clear. Therefore, this study applied functional near-infrared spectroscopy hyperscanning in a sequential reciprocal-trust task. We divided pairs of participants (strangers) into two groups according to their only-child status. The two strangers interacted with one another in an online trust game while their brain activities in the medial prefrontal cortex (mPFC) and the right temporoparietal junction (rTPJ) were measured. The behavioral results revealed that compared with the non-only-child group, the only-child group exhibited lower repayment, less reciprocation, and less cooperative decisions during the process. In addition, the brain imaging results showed that the interpersonal synchronization of the mPFC in the only-child group was significantly weaker than that in the non-only-child group. Our findings demonstrate neurobehavioral support for the only-child effect in terms of the trust by revealing that an only child shows less trust than does a non-only-child, resulting in lower inter-brain coherence.

Psychology as a Historical Science

Psychology has traditionally seen itself as the science of universal human cognition, but it has only recently begun seriously grappling with cross-cultural variation. Here we argue that the roots of cross-cultural variation often lie in the past. Therefore, to understand not only how but also why psychology varies, we need to grapple with cross-temporal variation. The traces of past human cognition accessible through historical texts and artifacts can serve as a valuable, and almost completely unutilized, source of psychological data. These data from dead minds open up an untapped and highly diverse subject pool. We review examples of research that may be classified as historical psychology, introduce sources of historical data and methods for analyzing them, explain the critical role of theory, and discuss how psychologists can add historical depth and nuance to their work. Psychology needs to become a historical science if it wants to be a genuinely universal science of human cognition and behavior.

Should Trust Be Stressed? General Trust and Proactive Coping as Buffers to Perceived Stress

Stress is becoming an increasingly important public health concern. Assuming that individual levels of trust and coping can buffer psychological stress, we explore validated measures of general trust [General Trust Scale (GTS)], proactive coping [Proactive Coping Inventory (PCI)], jointly with personality [Honesty-Humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, and Openness to experience (HEXACO)], and intolerance of uncertainty (IUS), as predictors of perceived stress [Perceived Stress Scale (PSS)]. Data were collected from Qualtrics research panels using quota sampling to obtain two representative American community samples. The assumed alleviating effects of GTS and PCI on PSS remained but were attenuated when modeled jointly with HEXACO, IUS, and socio-economic background variables [socioeconomic status (SES)] in hierarchical regressions. In Study 1 (N = 1,213), SES explained 19% and HEXACO explained 29% of the variance in PSS. Introducing IUS and GTS added significant but small portions of explained variance. In Study 2 (N = 1,090), after controlling for SES which explained 18% of the variance, IUS explained an additional 18% of the variance in PSS. Adding GTS to the model showed modest contributions whereas PCI added 9% of explained variance in the final hierarchical step. The findings highlight that GTS and PCI remain important variables even after controlling well-known factors such as personality and ability to tolerate uncertainty. However, given the weak effects of GTS, to consider trust as a remedy for stress may be of limited use in clinical practice since it could potentially be explained largely as a proxy for a beneficial combination of personality, coping, and socioeconomic background.

Make It Short and Easy: Username Complexity Determines Trustworthiness Above and Beyond Objective Reputation

Can the mere name of a seller determine his trustworthiness in the eye of the consumer? In 10 studies (total N = 608) we explored username complexity and trustworthiness of eBay seller profiles. Name complexity was manipulated through variations in username pronounceability and length. These dimensions had strong, independent effects on trustworthiness, with sellers with easy-to-pronounce or short usernames being rated as more trustworthy than sellers with difficult-to-pronounce or long usernames, respectively. Both effects were repeatedly found even when objective information about seller reputation was available. We hypothesized the effect of name complexity on trustworthiness to be based on the experience of high vs. low processing fluency, with little awareness of the underlying process. Supporting this, participants could not correct for the impact of username complexity when explicitly asked to do so. Three alternative explanations based on attributions of the variations in name complexity to seller origin (ingroup vs. outgroup), username generation method (seller personal choice vs. computer algorithm) and age of the eBay profiles (10 years vs. 1 year) were tested and ruled out. Finally, we show that manipulating the ease of reading product descriptions instead of the sellers' names also impacts the trust ascribed to the sellers.

Ambiguity and expectation-neglect in dilemmas of interpersonal trust

Recent research suggests that people discount or neglect expectations of reciprocity in trust dilemmas. We examine the underlying processes and boundary conditions of this effect, finding that expectations have stronger effects on trust when they are made accessible and when they are provided as objective probabilities (Study 1). Objective expectations have stronger effects when they are based on precise, rather than ambiguous, probabilities (Study 2). We also find that trust decisions differ from individual risk-taking decisions: people are more willing to trust, and expectations have stronger effects on trusting behavior (Study 2). These results show that the availability and ambiguity of expectations shape trust decisions, and that people differentially weight expectations in dilemmas of trust and individual risk-taking.

Split-Second Trustworthiness Detection From Faces in an Economic Game

Abstract. Economic interactions often imply to gauge the trustworthiness of others. Recent studies showed that when making trust decisions in economic games, people have some accuracy in detecting trustworthiness from the facial features of unknown partners. Here we provide evidence that this face-based trustworthiness detection is a fast and intuitive process by testing its performance at split-second levels of exposure. Participants played a Trust game, in which they made decisions whether to trust another player based on their picture. In two studies, we manipulated the exposure time of the picture. We observed that trustworthiness detection remained better than chance for exposure times as short as 100 ms, although it disappeared with an exposure time of 33 ms. We discuss implications for ongoing debates on the use of facial inferences for social and economic decisions.

Take the Money and Run: Psychopathic Behavior in the Trust Game

We study the association among different sources of individual differences such as personality, cognitive ability and risk attitudes with trust and reciprocate behavior in an incentivized experimental binary trust game in a sample of 220 (138 females) undergraduate students. The game involves two players, player 1 (P1) and player 2 (P2). In the first stage, P1 decides whether to trust and let P2 decide, or to secure an egalitarian payoff for both players. If P1 trusts P2, the latter can choose between a symmetric payoff that is double than the secure alternative discarded by P1, and an asymmetric payoff in which P2 earns more than in any other case but makes P1 worse off. Before the main experiment, we obtained participants' scores for Abstract Reasoning (AR), risk attitudes, basic personality characteristics, and specific traits such as psychopathy and impulsivity. During the main experiment, we measured Heart Rate (HR) and ElectroDermal Activity (EDA) variation to account for emotional arousal caused by the decision and feedback processes. Our main findings indicate that, on one hand, P1 trust behavior associates to positive emotionality and, specifically, to the extraversion's warmth facet. In addition, the impulsivity facet of positive urgency also favors trust behavior. No relation to trusting behavior was found for either other major personality aspects or risk attitudes. The physiological results show that participants scoring high in psychopathy exhibit increased EDA and reduced evoked HR deceleration at the moment in which they are asked to decide whether or not to trust. Regarding P2, we find that AR ability and mainly low disagreeable disinhibition favor reciprocal behavior. Specifically, lack of reciprocity significantly relates with a psychopathic, highly disinhibited and impulsive personality. Thus, the present study suggests that personality characteristics would play a significant role in different behaviors underlying cooperation, with extraversion/positive emotionality being more relevant for initiating cooperation, and low disagreeable disinhibition for maintaining it.

Bounded Prospection in Dilemmas of Trust and Reciprocity

Knowing when to trust others is an important social skill, but recent findings suggest that humans struggle with this dilemma—trusting strangers more than they should. Although trust decisions often do not meet the standards of rationality, they appear to be boundedly rational. We present a model of heuristic trust, according to which people focus on their own potential outcomes (what may be gained or lost from trusting), but neglect the probabilities of those outcomes occurring. We examine how trustors form expectations of reciprocity, and how those expectations relate to optimal trust decisions: some previous research suggests that people underestimate the probability of reciprocity and, relative to their subjective expectations, trust strangers too much. In contrast, our heuristic model allows for fine-grained predictions of when people trust too much and when they trust too little. The accuracy of trust depends on the selection and use of available cues; errors occur when trustors neglect valid, but difficult to process, cues and overemphasize salient cues lacking validity.

Trust: An Integrative Review from a Person–Situation Perspective

Trust is a key aspect of various social interactions. Correspondingly, trust has been heavily studied across different scientific disciplines. However, an integration of the diverse research and literature is still missing. Addressing this issue, we review several hundred articles on interpersonal trust among strangers and integrate them into a coherent framework, explaining trust behavior among unfamiliar agents based on an interaction between situational features and distinct personality characteristics. Understanding trust as a decision under risk, we distill 3 core components of trust behavior from the extant literature: attitudes toward risky prospects (i.e., risk aversion and loss aversion), trustworthiness expectations, and betrayal sensitivity. Each of these refers to a distinct set of causal determinants, including personality characteristics (anxiety/fear, trustworthiness, and forgiveness) which can be localized in the space defined by models of basic personality structure (e.g., the Five-Factor Model and the HEXACO model of personality). In sum, the review contributes to the understanding of trust behavior by linking and integrating the findings from various fields of trust research. Additionally, it provides fruitful directions and implications for future research.

The Traits One Can Trust

Trustworthiness is a vital pillar of various social interactions hinging upon trust. However, the underlying determinants of trustworthiness—especially in terms of (basic) personality traits—are insufficiently understood. Specifically, three mechanisms underlying trustworthiness have been proposed: unconditional kindness, positive reciprocity, and negative reciprocity. The present research aims to disentangle these mechanisms using a trait-based approach, relying on the HEXACO (Honesty-Humility, Emotionality, eXtraversion, Agreeableness, Conscientiousness, and Openness to Experience) model of personality. In three studies, participants acted as the trustee in the trust game. All studies revealed consistent support for the unconditional kindness mechanism, showing an exclusive link between Honesty-Humility and trustworthiness, irrespective of the level of prior trust. In turn, positive and negative reciprocity could not account for the pattern of results. In addition, our results reconcile the inconsistent evidence on the relation between Big Five-Agreeableness and trustworthiness: Unconditional kindness only refers to one component of the broad Big Five-Agreeableness factor (which subsumes various cooperative tendencies).