Finding common ground: Understanding and engaging with science mistrust in the Great barrier reef region.

At a time when ambitious environmental management initiatives are required to protect and restore aquatic ecosystems, public trust in the science that underpins environmental policy and decision-making is waning. This decline in public trust coincides with a rise in misinformation, and threatens to undermine public support for, and participation in, environmental protection. Our study investigates the prevalence and predictors of mistrust in science associated with the protection and management of the Great Barrier Reef (GBR) and its catchments. Using survey data from 1,877 residents of the GBR region, we identify environmental values, perceptions, and attitudes that are associated with science mistrust. Our results include a typology of GBR science trust and scepticism. Science-sceptical respondents, representing 31% of our sample, were likely to perceive waterway management decisions as being unfair, felt less responsible, and were less motivated to contribute to improving waterway health than those with greater trust in science. Science-sceptical respondents also had differing perceptions of some threats to waterways, in particular climate change. However, similarities and 'common ground' between respondents with varying levels of trust in science included a shared recognition of the importance of waterways' ecosystem services, and a shared perception of the relative health and problems within their regions' waterways. Our findings can help to break down assumptions about science-sceptical groups in the GBR region and elsewhere. We offer recommendations to guide more constructive engagement that seeks to restore trust and build consensus on mutual goals and pathways to protect vital ecosystem functions and services.

The effects of facial appearance on measures of generalized trust.

Research suggests various associations between generalized trust and a wide range of economic, political, and social dimensions. Despite its importance, there is considerable debate about how best to measure generalized trust. One recent solution operationalizes generalized trust as the average of trust ratings across a small set of trust domains and human faces. Here, we investigate whether heterogeneity in facial appearance affects the psychometric properties of these new instruments. In a survey experiment conducted with a sample of U.S. adults (n = 5001), we randomly assigned respondents to one of five conditions that varied the features of human and AI-synthesized faces. Irrespective of the condition, respondents rated each face along four trust domains. We find that facial heterogeneity has negligible effects on the measurement validity and measurement equivalence of these new instruments. Small differences are observed on a subset of faces for some psychometric tests. These findings contribute to a growing body of work using faces to measure generalized trust, and demonstrate the utility of using AI-synthesized faces in social science research more broadly.

Trust under development: The Italian validation of the Epistemic Trust, Mistrust, and Credulity Questionnaire (ETMCQ) for adolescents.

INTRODUCTION: In recent years, the concept of epistemic trust has emerged as a critical factor in understanding psychopathology, particularly within the context of personality disorders. A self-report instrument, the Epistemic Trust, Mistrust, and Credulity Questionnaire (ETMCQ), has demonstrated its validity among English and Italian adult populations. However, extending its applicability to adolescents is essential for comprehending the role of epistemic trust in the development of mental disorders. The aim of this study was to validate the ETMCQ within the Italian adolescent demographic. METHODS: Data were gathered from a wide selection of middle and high schools across Italy. The data collection started on 01/03/2022 and ended on 30/06/2022. Besides the ETMCQ (Study 1 = 662 participants, 12-18 years old, M = 15.56, SD = 2.20; 324 females, 338 males), we also administered other self-report instruments measuring mentalization, emotional dysregulation, general levels of psychopathology, and interpersonal trust in a smaller groups (Study 2 = 417 participants, aged from 12-19 years old, M = 15.64; SD = 2.08; 249 females, 168 males). RESULTS: Our findings provide empirical validation for the theoretical framework concerning the role of epistemic trust in psychological functioning and substantiate the validity of ETMCQ as a measure to assess it among teenagers. CONCLUSIONS: The ETMCQ is a valid and promising instrument for adolescent populations; its ease and brevity of administration could make it a valuable tool both in clinical and research contexts, shedding light on the role of epistemic trust in mental health.

Understanding cooperative contact tracing: Factors explored through privacy management theories.

This study investigates the factors influencing the comfort level of the general public when disclosing personal information for the coronavirus disease 2019 contact tracing. This is a secondary analysis of the American Trends Panel, a national probability-based online panel of American adults, with data collected by the Pew Research Center between July 13 and 19, 2020. Grounded in privacy management theories, ordered logistic regression analyses examined three types of information disclosure: places visited, names of contacts, and location data from cell phones. Key independent variables measured trust in the stakeholders' ability to protect data and perceived risks to health and finances. The findings suggest that higher levels of trust in entities' data security capabilities can predict individuals' comfort levels when disclosing personal data. Additionally, the participants were more comfortable with noncommercial data use, especially when it was used by researchers and state and local officials. However, financial threats showed variations in sharing certain types of data. Individuals were less likely to feel at ease sharing contact tracing data as concerns about personal finances increased. Similarly, when individuals perceived threats to the U.S. economy, they were less likely to feel comfortable sharing their location data from cell phones, which might have been perceived as intrusive. Public health outreach efforts should account for individual differences and the nature of the information requested in commercial and noncommercial contexts. Future studies can enhance the explanatory capacity of data disclosure models by incorporating additional relevant contextual and environmental variables.

Community engagement for stakeholder and community trust in healthcare: Short-term evaluation findings from a nationwide initiative in Lao PDR.

BACKGROUND: Trust remains a critical concept in healthcare provision, but little is known about the ability of health policy and interventions to stimulate more trusting relationships between communities and the health system. The CONNECT (Community Network Engagement for Essential Healthcare and COVID-19 Responses Through Trust) Initiative in Lao PDR provided an opportunity to assess the community-level impact of a trust-building community engagement approach. METHODS: A mixed-method process evaluation was implemented from 10/2022-12/2023 among 14 diverse case study communities in four provinces across Lao PDR. Data collection involved two rounds of census surveys (3161 observations incl. panel data from 618 individuals) including an 8-item trust scale, 50 semi-structured interviews with villagers, and 50 contextualizing key informant interviews. The two data collection rounds were implemented before and three months after village-based CONNECT activities and helped discern impacts among activity participants, indirectly exposed villagers, and unexposed villagers in a difference-in-difference analysis. RESULTS: Stakeholders attested strong support for the CONNECT Initiative although community-level retention of trust-related themes from the activities was limited. Quantitative data nevertheless showed that, at endline, the 8-item trust index (from [-8 to +8]) increased by 0.95 points from 4.44 to 5.39 and all trust indicators were universally higher. Difference-in-difference analysis showed that villagers exposed to the CONNECT activities had a 1.02-index-point higher trust index compared to unexposed villagers. Trust impacts improved gradually over time and were relatively more pronounced among men and ethnic minority groups. CONCLUSIONS: The CONNECT Initiative had considerable direct and systemic effects on community members' trust in their local health centers in the short term, which arose from strong stakeholder mobilization and gradual institutional learning. Relational community engagement approaches have the potential to create important synergies in health policy and broader cross-sectorial strategies, but also require contextual grounding to identify locally relevant dimensions of trust.

Adapting to uncertainty: The role of anxiety and fear of negative evaluation in learning in social and non-social contexts.

BACKGROUND: Navigating social situations can be challenging due to uncertainty surrounding the intentions and strategies of others, which remain hidden and subject to change. Prior research suggests that individuals with anxiety-related symptoms struggle to adapt their learning in uncertain, non-social environments. Anxiety-prone individuals encounter challenges in social functioning, yet research on learning under uncertainty in social contexts is limited. In this preregistered study, we investigated whether individuals with higher levels of trait anxiety and fear of negative evaluation encounter difficulties in adjusting their learning rates in social contexts with stable or volatile outcome contingencies. METHODS: We implemented a modified trust game (N = 190), where participants either retained or lost their investments based on their interactions with two players in volatile or stable environments. Participants also completed a matching non-social control task involving interactions with slot machines. RESULTS: Results from computational modeling revealed significantly higher learning rates in social compared to non-social settings. Trait anxiety did not affect the adaptability of learning rates. Individuals with heightened fear of negative evaluation were more sensitive to social compared to non-social outcomes, as reflected in their stay/switch behavior and, though less conclusive, in their learning rates. LIMITATIONS: While transdiagnostic and dimensional approaches are important for investigating disturbed social functioning, the inclusion of clinical samples in future studies may contribute to a broader generalization of these findings regarding behavioral variances in uncertain social environments. CONCLUSIONS: Individuals with increased fear of negative evaluation may demonstrate heightened sensitivity to learning in uncertain social contexts. This leads to heightened responsiveness to recent outcomes in their interactions with others, potentially contributing to their problems in social functioning.

Implicit bias and experience influence overall but not relative trustworthiness judgment of other-race faces.

Impressions of trustworthiness are formed quickly from faces. To what extent are these impressions shared among observers of the same or different races? Although high consensus of trustworthiness evaluation has been consistently reported, recent studies suggested substantial individual differences. For instance, negative implicit racial bias and low contact experience towards individuals of the other race have been shown to be related to low trustworthiness judgments for other-race faces. This pre-registered study further examined the effects of implicit social bias and experience on trustworthiness judgments of other-race faces. A relatively large sample of White (N = 338) and Black (N = 299) participants completed three tasks: a trustworthiness rating task of faces, a race implicit association test, and a questionnaire of experience. Each participant rated trustworthiness of 100 White faces and 100 Black faces. We found that the overall trustworthiness ratings for other-race faces were influenced by both implicit bias and experience with individuals of the other-race. Nonetheless, when comparing to the own-race baseline ratings, high correlations were observed for the relative differences in trustworthiness ratings of other-race faces for participants with varied levels of implicit bias and experience. These results suggest differential impact of social concepts (e.g., implicit bias, experience) vs. instinct (e.g., decision of approach-vs-avoid) on trustworthiness impressions, as revealed by overall vs. relative ratings on other-race faces.

In risk we trust? Making decisions about knee replacement.

Risk communication is a key legal and ethical component of shared decision-making. Decisions about total knee replacement, a common surgery, must contend with the fact that a minority of cases result in unintended outcomes, some of which have devastating effects. To understand how risks are communicated during decision-making, we audio-recorded and analysed 62 consultations between surgeons and patients. Various communication methods were evident, including listing risks without elaboration, discussing them in a conversational manner, abrogating discussion of risk, or using decision-tools. Discussion of risks was often brief in nature, and risk communication was sometimes curtailed or deferred by both patients and surgeons. Risks could also be observed to play a part in reinforcing policy norms of the doctor-patient relationship that highlighted patient responsibility. Nevertheless, patients and surgeons in the observed consultations appeared more interested in developing trusting relationships than in discussing risks. Because patients had sometimes experienced considerable deterioration in their knee function before their consultation, were in pain and struggled with mobility, the realities of clinical practice clashed with the policy norms of choice and patient responsibility. Rather, decisions could appear coerced by the disease process rather than being clear-cut examples of self-determination. While policy norms putatively use risk disclosure to frame communication between patients and clinicians as a transaction between customer and technician, the lack of conformity to these norms in the consultations may indicate resistance to this framing. A greater emphasis on determining positive roles for trust and care would help policy to present a nuanced understanding of decision-making. Risk communication could be seen as a factor in the formation of trusting relationships, improving its role in decision-making processes while recognising its inherent tensions with practice.

Retrospecting Digital Media Use, Negative Emotions, and Trust Gaps During the COVID-19 Pandemic in China: Cross-Sectional Web-Based Survey.

BACKGROUND: Retrospecting the trust gaps and their dynamics during the pandemic is crucial for understanding the root causes of postpandemic challenges and offers valuable insights into preparing for future public health emergencies. The COVID-19 pandemic eroded people's trust in strangers and acquaintances, while their trust in family members remained relatively stable. This resulted in 2 trust gaps, namely, the family members-strangers trust gap and the family members-acquaintances trust gap. Widening trust gaps impede social integration and undermine the effective management of public health crises. However, little is known about how digital media use shaped trust gaps during a pandemic. OBJECTIVE: This study aims to investigate the relationships between digital media use, negative emotions, the family members-strangers trust gap, and the family members-acquaintances trust gap during the COVID-19 pandemic in China. We test the mediating role of negative emotions between digital media use and 2 trust gaps and compare the indirect effect of digital media use on 2 trust gaps through negative emotions. METHODS: A cross-sectional web-based survey was conducted in China between January 31, 2020, and February 9, 2020. A total of 1568 adults participated in the survey. Questions related to digital media use, negative emotions, trust in family members, trust in acquaintances, and trust in strangers during the pandemic were asked. Regression analyses were performed to test the associations between the examined variables. We used a 95% bootstrap CI approach to estimate the mediation effects. RESULTS: Digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), which in turn were positively associated with the family members-strangers trust gap (B=0.15, SE 0.03; P<.001). Likewise, digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), while negative emotions were positively associated with the family members-acquaintances trust gap (B=0.08, SE 0.03; P=.01). Moreover, the indirect effect of digital media use on the family members-strangers trust gap (B=0.03, SE 0.01; 95% CI 0.01-0.04) was stronger than that on the family members-acquaintances trust gap (B=0.01, SE 0.01; 95% CI 0.003-0.027). CONCLUSIONS: The results demonstrate that negative emotions resulting from the frequent use of digital media are a key factor that accounts for the widening trust gaps. Considering the increasing reliance on digital media, the findings indicate that the appropriate use of digital media can prevent the overamplification of negative emotions and curb the enlargement of trust gaps. This may help restore social trust and prepare for future public health crises in the postpandemic era.

Variations in Unmet Health Care Needs by Perceptions of Social Media Health Mis- and Disinformation, Frequency of Social Media Use, Medical Trust, and Medical Care Discrimination: Cross-Sectional Study.

Background: Unmet need for health care is defined as choosing to postpone or completely avoid necessary medical treatment despite having a need for it, which can worsen current conditions or contribute to new health problems. The emerging infodemic can be a barrier that prevents people from accessing quality health information, contributing to lower levels of seeking medical care when needed. Objective: We evaluated the association between perceptions of health mis- and disinformation on social media and unmet need for health care. In addition, we evaluated mechanisms for this relationship, including frequency of social media use, medical trust, and medical care discrimination. Methods: Data from 3964 active adult social media users responding to the 2022 Health Information National Trends Survey 6 (HINTS 6), a nationally representative survey, were analyzed. The outcome was unmet need for medical care, defined as delaying or not getting the necessary medical care. The predictor variables were perception of social media health mis- and disinformation, frequency of social media use, level of trust in the health care system, and perceived racial and ethnic discrimination when receiving health care. Results: Multivariable logistic regression models indicated that perception of substantial social media health mis- and disinformation (odds ratio [OR] 1.40, 95% CI 1.07-1.82), daily use of social media (OR 1.34, 95% CI 1.01-1.79), low medical trust (OR 1.46, 95% CI 1.06-2.01), and perceived discrimination (OR 2.24, 95% CI 1.44-3.50) were significantly associated with a higher likelihood of unmet need for medical care. Unmet need among adults who did not use social media daily and who did not perceive substantial mis- and disinformation (24%; 95% CI 19%-30%) was lower compared to daily social media users who perceived substantial mis- and disinformation (38%; 95% CI 32%-43%). Adults who perceived substantial mis- and disinformation and had low trust in health care had the highest probability of reporting unmet need (43%; 95% CI 38%-49%) compared to the other three groups. Adults who perceived substantial mis- and disinformation and experienced medical care discrimination had a statistically significant higher probability of reporting unmet need (51%; 95% CI 40%-62%) compared to adults who did not experience medical care discrimination and did not perceive substantial mis- and disinformation (29%; 95% CI 26%-32%). Conclusions: Unmet need for medical care was higher among individuals who perceived a substantial degree of social media mis- and disinformation, especially among those who used social media daily, did not trust the health care system, and experienced racial or ethnic discrimination when receiving health care. To counter the negative effects of social media mis- and disinformation on unmet need for health care, public health messaging must focus on daily social media users as well as improving trust and reducing structural racism in the health care system.

Callousness, exploitativeness, and tracking of cooperation incentives in the human default network.

Human cognitive capacities that enable flexible cooperation may have evolved in parallel with the expansion of frontoparietal cortical networks, particularly the default network. Conversely, human antisocial behavior and trait antagonism are broadly associated with reduced activity, impaired connectivity, and altered structure of the default network. Yet, behaviors like interpersonal manipulation and exploitation may require intact or even superior social cognition. Using a reinforcement learning model of decision-making on a modified trust game, we examined how individuals adjusted their cooperation rate based on a counterpart's cooperation and social reputation. We observed that learning signals in the default network updated the predicted utility of cooperation or defection and scaled with reciprocal cooperation. These signals were weaker in callous (vs. compassionate) individuals but stronger in those who were more exploitative (vs. honest and humble). Further, they accounted for associations between exploitativeness, callousness, and reciprocal cooperation. Separately, behavioral sensitivity to prior reputation was reduced in callous but not exploitative individuals and selectively scaled with responses of the medial temporal subsystem of the default network. Overall, callousness was characterized by blunted behavioral and default network sensitivity to cooperation incentives. Exploitativeness predicted heightened sensitivity to others' cooperation but not social reputation. We speculate that both compassion and exploitativeness may reflect cognitive adaptations to social living, enabled by expansion of the default network in anthropogenesis.

Relationship between missed nursing care and patients' trust in nurses and satisfaction with care: A cross-sectional study.

Missed nursing care is a global health problem that can have negative consequences for patients, nurses, and healthcare institutions. The purpose of the research is to determine the relationship of missed nursing care with patients' trust in nurses and satisfaction with care. A descriptive and cross-sectional study was conducted with 350 patients treated at the cardiology clinic of a university hospital. Data were collected using the MISSCARE Survey-Patient, the Trust in Nurses Scale (TNS), and the Newcastle Satisfaction with Nursing Scale (NSNS). There was a strong positive relationship between trust in nursing and satisfaction with care. Additionally, missed care in communication and basic care had a negative relationship with trust in nursing and satisfaction with care (p < 0.001). The multiple linear regression analysis revealed that the communication subscale score was the best negative predictor of trust in nurses and satisfaction with care. The results of this research indicate a deficiency in adequately addressing all nursing care activities. The failure to meet nurse-patient communication needs is the most important missed care factor that negatively affects satisfaction with care and trust in nurses.

Inconsistent advice by ChatGPT influences decision making in various areas.

The ChatGPT technology is increasingly becoming a part of our daily lives and is starting to be utilized in various decision-making contexts. The current study builds upon prior research, demonstrating that people's moral decision-making is influenced by ChatGPT across three perspectives, as evidenced by two studies (total n = 1925). The findings suggested that ChatGPT advice impacted decision-making similarly to expert advice, although not all decisions were susceptible to influence, particularly those based on negative emotions. Additionally, ChatGPT advice affected decisions beyond moral judgments, but no effect was observed when the advice recommended immediate low rewards. Moreover, individuals with a higher tendency for personal fear of invalidity were more likely to be influenced by both expert and AI advice, but this was not related to trust in AI.

Longitudinal associations between intergroup contact and intergroup trust among adolescents in ethnic regions of China.

Intergroup trust is a crucial psychological foundation for promoting ethnic unity and maintaining social stability. This study explored the dynamic relationship between intergroup contact and trust among adolescents in ethnic regions of China and sought to uncover the mechanisms behind this relationship. Through a two-wave longitudinal survey of 679 adolescents, employing the Intergroup Contact Experience Scale, the Intergroup Trust Scale, and the UCLA Loneliness Scale, the study yielded several findings: (1) Over the year, a significant increase in intergroup contact was observed among the adolescents. Notably, junior high students demonstrated a marked rise in intergroup trust, whereas no significant change was discernible in high school students. (2) Cross-lagged analysis indicated that early intergroup contact significantly predicted subsequent intergroup trust and loneliness. Initial loneliness also forecasted future intergroup trust, yet early intergroup trust did not predict later intergroup contact or loneliness. (3) Loneliness served as a partial mediator in the longitudinal link between intergroup contact and trust among these adolescents. These findings reinforce the premise that in China's ethnic regions, intergroup contact is a precursor to intergroup trust, both directly enhancing trust among adolescents and indirectly by reducing loneliness.

Relations between school climates and bullying behaviors in Chinese adolescents: The mediating role of prosocial tendency.

This research investigated the relationships between school climates and bullying behaviors in Chinese adolescents, and tested the mediating effect of prosocial tendency according to the seesaw effect. School climates were operationalized using three constructs: subjective diversity of student development goals, teacher support, and peer trust. Bullying behaviors included traditional (i.e., physical, nonphysical, and relational) and cyber bullying behaviors. We recruited 538 adolescents from three schools in Beijing, China (286 girls, 252 boys; average age = 12.47) and asked them to fill out the surveys measuring school climates and prosocial tendency at the outset and to report school bullying behaviors three months later. The results showed that subjective diversity of student development goals and peer trust were directly associated with less cyber bullying behavior. Moreover, teacher support and peer trust were indirectly associated with less traditional bullying behaviors via prosocial tendency. Our findings extend the existing literature on the relationships between school climates and bullying behaviors by incorporating different types of bullying behaviors, concentrating on Chinese adolescents from a cultural viewpoint, and tapping into the underlying mechanism via revealing prosocial tendency as a mediator. Theoretical and empirical contributions of this study, as well as practical implications are discussed.

No evidence for an other-race effect in dominance and trustworthy judgements from faces.

A variety of evidence shows that social categorization of people based on their race can lead to stereotypical judgements and prejudicial behaviour. Here, we explore the extent to which trait judgements of faces are influenced by race. To address this issue, we measured the reliability of first impressions for own-race and other-race faces in Asian and White participants. Participants viewed pairs of faces and were asked to indicate which of the two faces was more dominant or which of the two faces was more trustworthy. We measured the consistency (or reliability) of these judgements across participants for own-race and other-races faces. We found that judgements of dominance or trustworthiness showed similar levels of reliability for own-race and other-race faces. Moreover, an item analysis showed that the judgements on individual trials were very similar across participants from different races. Next, participants made overall ratings of dominance and trustworthiness from own-race and other-race faces. Again, we found that there was no evidence for an ORE. Together, these results provide a new approach to measuring trait judgements of faces and show that in these conditions there is no ORE for the perception of dominance and trustworthiness.

Exploring the Singapore general population's trust in COVID-19 information from different sources and its association with perceived risk of infection during the pandemic.

Background: The degree of public trust in the government's competence is crucial in preventing the spread of misinformation and reducing psychological distress during a pandemic. The study aimed to (i) explore the trust in COVID-19 information from different sources and trust in the ability of the World Health Organization (WHO), government departments and related institutions in handling the epidemic in Singapore and (ii) its association with perceived risk of infection among Singapore residents. Methods: A total of 1,129 participants (aged 21 and above) were recruited from a cross-sectional study examining the well-being and resilience of Singapore's population between May 2020 to June 2021. Trust in COVID-19 information from different sources was measured on a 10-point scale and an ordinal 7-point scale was used for perceived risk of infection. Descriptive statistics and multivariate logistic regression model were conducted. Results: 85.5% reported high trust in COVID-19 information from the government and their ability in handling the pandemic. Participants also reported high trust in COVID-19 information from local public health or infectious disease experts (84.4%) and traditional media (77.2%). Low trust in the ability of government departments and related institutions was associated with higher future (1 month) perceived risk of infection (OR: 5.7, 95% CI 1.02-32.45) and low trust in social media was associated with higher current perceived risk of infection (OR: 2.4, 95% CI 1.09-5.24). Discussion: The present study provided insight on the level of trust on COVID-19 information from different sources and its associated perceived risks of infection. Future qualitative studies are recommended to facilitate better understanding of public trust and identify strategies for how it can be effectively addressed to support future public health responses.

Family migration and well-being of Chinese migrant workers' children.

This article aims to explore the effects of parental migration on the well-being of children and how to adjust social cognitive well-being through the interrelations among family relations and social cognitive well-being indicators using structural equation modelling. Two modified social cognitive well-being models were tested in 1682 Chinese migrant workers' children to examine the pathways among social cognitive well-being and family relation characteristics. The modified models are based on the social cognitive well-being model and the characteristics of Chinese migrant workers' children. The results show that caregiver-child communication frequency, caregiver-child regulation, caregiver-child conflicts, caregiver-child trust and communication, and coactivity positively impact children's social cognitive well-being. In contrast, caregiver-child alienation negatively influences children's social cognitive factors through caregiver-child trust and communication. Additionally, this research revealed that family-related characteristics (caregiver-child regulation, caregiver-child coactivities, caregiver-child communication frequency, caregiver-child alienation, caregiver-child conflicts, and caregiver-child trust and communication) are interconnected with social cognitive well-being indicators (academic satisfaction, outcome expectations, goal progress, lifelong satisfaction, environmental support, positive affect, negative affect, and self-efficacy). This suggests that family migration and relationships with caregiver(s) can significantly affect the well-being of migrant workers' children.

Effects of multimodal explanations for autonomous driving on driving performance, cognitive load, expertise, confidence, and trust.

Advances in autonomous driving provide an opportunity for AI-assisted driving instruction that directly addresses the critical need for human driving improvement. How should an AI instructor convey information to promote learning? In a pre-post experiment (n = 41), we tested the impact of an AI Coach's explanatory communications modeled after performance driving expert instructions. Participants were divided into four (4) groups to assess two (2) dimensions of the AI coach's explanations: information type ('what' and 'why'-type explanations) and presentation modality (auditory and visual). We compare how different explanatory techniques impact driving performance, cognitive load, confidence, expertise, and trust via observational learning. Through interview, we delineate participant learning processes. Results show AI coaching can effectively teach performance driving skills to novices. We find the type and modality of information influences performance outcomes. Differences in how successfully participants learned are attributed to how information directs attention, mitigates uncertainty, and influences overload experienced by participants. Results suggest efficient, modality-appropriate explanations should be opted for when designing effective HMI communications that can instruct without overwhelming. Further, results support the need to align communications with human learning and cognitive processes. We provide eight design implications for future autonomous vehicle HMI and AI coach design.