Survey and behavioral measurements of interpersonal trust

Although many studies treat trust as a situational construct, individual differences can be used to study and predict trusting behavior. We report two studies, the first showing the psychometric properties of a new trust inventory (the Propensity to Trust Survey or PTS), the second study validating this inventory using the standard economic task, the Investment Game. The first study utilized online survey data (N > 8000) to show that the PTS scales were reliable and measured broad constructs related to Big Five personality domains. Trust was related to extraversion and negative neuroticism, and trustworthiness was related to agreeableness and conscientiousness. The second study (N = 90) validated the PTS trust scale as a predictor of behavior in the Investment Game. These findings are evidence that trust and trustworthiness are compound personality traits, and that PTS scales are preferable to general Big Five measures for predicting trusting behavior.     

The Relation Between Early Adolescents’ Trust Beliefs in Peers and Reactions to Peer Provocation: Attributions of Intention and Retaliation

The authors examined the relation between early adolescents’ trust beliefs in peers and both their attributions for, and retaliatory aggression to, peer provocation. One hundred and eight-five early adolescents (102 male) from the United Kingdom (M age = 12 years, 2 months, SD = 3 months) completed the Children's Generalized Trust Beliefs in peer subscale (K. J. Rotenberg, C. Fox, et al., 2005) and reported the intentions of, and their retaliatory aggression to, hypothetical peer provocation. A curvilinear relation was found between trust beliefs in peers and retaliatory aggression but not for attributions of intention. Early adolescents with low and those with very high trust beliefs in peers reported greater retaliatory aggression than did early adolescents with the middle range of trust beliefs. The findings supported the conclusion that early adolescents who are high trusting, as well as those are very low trusting, are at risk for psychosocial maladjustment. Support was not obtained for a hostility attribution bias interpretation of those patterns.     

I’m curious,I’m open to it,I test it,I trust it! A focus groups study to understand a-priori trust in automated buses

Trust is regarded as one of the main predictors for adopting automated buses (ABs). However, theories about trust (development) in technology generally vary and an in-depths study about trust in ABs specifically is still outstanding. The present study fills this gap by presenting results from focus group interviews to trust (development) in shared automated buses prior to exposure. The objectives of this study are to contrast participants’ naïve concepts of trust with theory and to identify underlying factors influencing a-priori trust in ABs. Results show that the N = 21 focus group participants use different strategies to familiarise themselves with the new technology of ABs, e.g., comparisons with familiar technologies, fundamental tendencies to approach or avoid, additional information seeking, or anthropomorphisation. These strategies largely support existing theories on trust (development) in technology. Differences between naïve interpretations of trust and its theoretical assumptions were found in focus group debates where more control over technology limited uncertainty and led to more trust. While theories suggest control and trust to be incompatible opposites, participants see control as a way to enhance trust. We provide starting points for further theory development and expansion and stress the importance of explanations in emerging technologies for trust and acceptance building.     

Trust in Nanotechnology? On Trust as Analytical Tool in Social Research on Emerging Technologies

Trust has become an important aspect of evaluating the relationship between lay public and technology implementation. Experiences have shown that a focus on trust provides a richer understanding of reasons for backlashes of technology in society than a mere focus of public understanding of risks and science communication. Therefore, trust is also widely used as a key concept for understanding and predicting trust or distrust in emerging technologies. But whereas trust broadens the scope for understanding established technologies with well-defined questions and controversies, it easily fails to do so with emerging technologies, where there are no shared questions, a lack of public familiarity with the technology in question, and a restricted understanding amongst social researchers as to where distrust is likely to arise and how and under which form the technology will actually be implemented. Rather contrary, ‘trust’ might sometimes even direct social research into fixed structures that makes it even more difficult for social research to provide socially robust knowledge. This article therefore suggests that if trust is to maintain its important role in evaluating emerging technologies, the approach has to be widened and initially focus not on people’s motivations for trust, but rather the object of trust it self, as to predicting how and where distrust might appear, how the object is established as an object of trust, and how it is established in relation with the public.     

重复信任博弈的决策过程与结果评价

“信任他人或者不信任他人?”是社会互动中经常面临一种行为决择, 直接影响着个体的社会生活。作为一种重要的社会信号机制, 信任是建立良好社会关系的基石, 它能够降低社会交易成本, 易化合作行为。为了探究个体在信任互动情境下大脑活动变化的时间动态特征, 采用事件相关电位技术记录了20名健康被试(充当信任者)完成重复性信任博弈任务(repeated Trust Game, rTG)时的脑电成分。行为结果发现个体选择信任的比例显著高于几率水平。电生理学结果表明, 决策阶段中不信任选择比信任选择诱发了更正的P2成分(150~250 ms), 差异波溯源分析定位于额中回(middle frontal gyrus, BA 46)和额下回(inferior frontal gyrus, BA 46)。反馈阶段中损失反馈比获益反馈诱发了更负的FRN成分(200~300 ms), 而获益反馈比损失反馈诱发了更短的P300潜伏期。本研究为理解人类信任博弈过程的动态加工时程提供了初步的神经电生理学证据。     

网络购物中的信任

信任是委托方基于积极期望自愿接受受托方行为的意向。网络购物中的信任可分为信任倾向、制度信任、信任信念(商家信任)和信任意向。个体经验、个性倾向和认知影响信任倾向; 网络安全机制建设和独立的第三方服务影响制度信任; 网站使用体验、商家信誉和商家规模影响信任信念; 信任倾向、制度信任、信任信念三者共同作用于信任意向, 进而影响信任行为。未来的研究应关注网络购物信任随时间的变化规律, 文化对网络购物信任的影响, 消极事件后信任重建等问题。     

It’s Not About Technology

It is argued that the question “Can we trust technology?” is unanswerable because it is open-ended. Only questions about specific issues that can have specific answers should be entertained. It is further argued that the reason the question cannot be answered is that there is no such thing as Technology simpliciter. Fundamentally, the question comes down to trusting people and even then, the question has to be specific about trusting a person to do this or that.     

Trust in hybrid human-automated decision-support

Research has examined trust in humans and trust in automated decision support. Although reflecting a likely realization of decision support in high-risk tasks such as personnel selection, trust in hybrid human-automation teams has thus far received limited attention. In two experiments (N₁ = 170, N₂ = 154) we compare trust, trustworthiness, and trusting behavior for different types of decision-support (automated, human, hybrid) across two assessment contexts (personnel selection, bonus payments). We additionally examined a possible trust violation by presenting one group of participants a preselection that included predominantly male candidates, thus reflecting possible unfair bias. Whereas fully-automated decisions were trusted less, results suggest that trust in hybrid decision support was similar to trust in human-only support. Trust violations were not perceived differently based on the type of support. We discuss theoretical (e.g., trust in hybrid support) and practical implications (e.g., keeping humans in the loop to prevent negative reactions).     

Posthuman Pleasures: Transcending the Human-Machine Boundary

Abstract

Today, technology affects us in a variety of ways: it helps to bridge great distances, it opens up new possibilities for communication, and it allows us to see our world in ever-new perspectives. Technology also increasingly permeates bodily boundaries, both on a physical level (or in "real" life) as well as on an imaginary level (or in narratives that deal with the relation between body and technology). An important aspect of these already implemented technologies or future visions of the interaction between human bodies and technology is the enhancement of sexuality through technological appliances or even its replacement by other forms of "fusion" between human beings. This paper focuses on how sciencefiction narratives and posthuman philosophy imagine the transformation of today's messy and wet "body-sex" into "future-sex" arguing that in fact the body is not made redundant in these visions, but rather changed and "queered" through its interaction with technology.     

What Is the Model of Trust for Multi-agent Systems? Whether or Not E-Trust Applies to Autonomous Agents

A socio-cognitive approach to trust can help us envisage a notion of networked trust for multi-agent systems (MAS) based on different interacting agents. In this framework, the issue is to evaluate whether or not a socio-cognitive analysis of trust can apply to the interactions between human and autonomous agents. Two main arguments support two alternative hypothesis; one suggests that only reliance applies to artificial agents, because predictability of agents’ digital interaction is viewed as an absolute value and human relation is judged to be a necessary requirement for trust. The other suggests that trust may apply to autonomous agents because predictability of agents’ interaction is viewed only as a relative value since the digital normativity that grows out of the communication process between interacting agents in MAS has always deal with some unpredictable outcomes (reduction of uncertainty). Furthermore, human touch is not judged to be a necessary requirement for trust. In this perspective, a diverse notion of trust is elaborated, as trust is no longer conceived only as a relation between interacting agents but, rather, as a relation between cognitive states of control and lack of control (double bind).     

Cooperative,pure, and selfish trusting: Their distinctive effects on the reaction of trust recipients

Three types of trusting have been distinguished conceptually and empirically. In cooperative trusting the trust giver explicitly expects a reaction from the trust recipient that fits with the equality norm. In pure trusting, no explicit expectation is expressed by the giver. In selfish trusting the giver explicitly expects a reaction that benefits himself or herself at the expense of the recipient. We asked whether the three types of trust elicit distinctive reactions from trust recipients. Each participant was paired with a fictitious player who ostensibly enabled him or her to divide money between them. As hypothesized, both cooperative and pure trusting elicited more equal allocations than did selfish trusting. A second hypothesis, that cooperative trust would yield more equal allocations than pure trust, was not supported. Results are discussed in terms of equality norm, self‐interest norm, reciprocity norm, reactance theory, social sanctioning, and the need to comply with others' expectations. Copyright © 2004 John Wiley & Sons, Ltd.     

Ambient Intelligence and Persuasive Technology: The Blurring Boundaries Between Human and Technology

The currently developing fields of Ambient Intelligence and Persuasive Technology bring about a convergence of information technology and cognitive science. Smart environments that are able to respond intelligently to what we do and that even aim to influence our behaviour challenge the basic frameworks we commonly use for understanding the relations and role divisions between human beings and technological artifacts. After discussing the promises and threats of these technologies, this article develops alternative conceptions of agency, freedom, and responsibility that make it possible to better understand and assess the social roles of Ambient Intelligence and Persuasive Technology. The central claim of the article is that these new technologies urge us to blur the boundaries between humans and technologies also at the level of our conceptual and moral frameworks.     

The correlation-based law of effect

It is commonly understood that the interactions between an organism and its environment constitute a feedback system. This implies that instrumental behavior should be viewed as a continuous exchange between the organism and the environment. It follows that orderly relations between behavior and environment should emerge at the level of aggregate flow in time, rather than momentary events. These notions require a simple, but fundamental, change in the law of effect: from a law based on contiguity of events to a law based on correlation between events. Much recent research and argument favors such a change. If the correlation-based law of effect is accepted, it favors measures and units of analysis that transcend momentary events, extending through time. One can measure all consequences on a common scale, called value. One can define a unit of analysis called the behavioral situation, which circumscribes a set of values. These concepts allow redefinition of reinforcement and punishment, and clarification of their relation to discriminative stimuli.     

Cyborg intentionality: Rethinking the phenomenology of human–technology relations

This article investigates the types of intentionality involved in human–technology relations. It aims to augment Don Ihde’s analysis of the relations between human beings and technological artifacts, by analyzing a number of concrete examples at the limits of Ihde’s analysis. The article distinguishes and analyzes three types of “cyborg intentionality,” which all involve specific blends of the human and the technological. Technologically mediated intentionality occurs when human intentionality takes place “through” technological artifacts; hybrid intentionality occurs when the technological actually merges with the human; and composite intentionality is the addition of human intentionality and the intentionality of technological artifacts.

On the Emotional Character of Trust

Trustful interaction serves the interests of those involved. Thus, one could reason that trust itself may be analyzed as part of rational, goaloriented action. In contrast, common sense tells us that trust is an emotion and is, therefore, independent of rational deliberation to some extent. I will argue that we are right in trusting our common sense. My argument is conceptual in nature, referring to the common distinction between trust and pure reliance. An emotional attitude may be understood as some general pattern in the way the world or some part of the world is perceived by an individual. Trust may be characterized by such a pattern. I shall focus on two central features of a trusting attitude. First, trust involves a participant attitude (Strawson) toward the person being trusted. Second, a situation of trust is perceived by a trusting person as one in which shared values or norms motivate both his own actions as well as those of the person being trusted. As an emotional attitude, trust is, to some extent, independent of objective information. It determines what a trusting person will believe and how various outcomes are evaluated. Hence, trust is quite different from rational belief and the problem with trust is not adequately met in minimizing risk by supplying extensive information or some mechanism of sanctioning. Trust is an attitude that enables us to cope with risk in a certain way. If we want to promote trustful interaction, we must form our institutions in ways that allow individuals to experience their interest and values as shared and, thus, to develop a trusting attitude.     

Effects of environmental,vehicle and human factors on comfort in partially automated driving: A scenario-based study

Although it is key to improving acceptability, there is sparse scientific literature on the experience of humans as passengers in partially automated cars. The present study therefore investigated the influence of road type, weather conditions, traffic congestion level, vehicle speed, and human factors (e.g., trust in automated cars) on passenger comfort in an automated car classified as Level 3 according to the Society of Automotive Engineers (SAE). Participants were exposed to scenarios in which a character is driven by an SAE Level 3 automated car in different combinations of conditions (e.g., highway × heavy rain × very congested traffic × vehicle following prescribed speed). They were asked to rate their perceived comfort as if they were the protagonist. Results showed that comfort was negatively affected by driving in downtown (vs. highway), heavy rain, and congested traffic. Interaction analyses showed that reducing the speed of the vehicle improved comfort in these two last conditions, considered either individually or in combination. Cluster analysis revealed four profiles: trusting in automation, averse to speed reduction, risk averse, and mistrusting automation. These profiles were all influenced differently by the driving conditions, and corresponded to varying levels of trust in automated cars. This study suggests that optimizing comfort in automated cars should take account of both driving conditions and human profiles.     

Should technological imperatives be obeyed?

This paper argues that both technological determinism (the development of technology is uniquely determined by internal laws) and technological voluntarism (technological change can be externally directed and regulated by the wants and free choice of human beings) are one‐sided and partly mistaken. The determinists are right in the sense that technology has a power to influence our values and behaviour, and thereby appear to direct ‘technological imperatives’ to us. However, such commands are always conditional on some value premises; the voluntarists are thus right in pointing out that we need not obey such imperatives. The principle ‘Can implies Ought’ (all technological possibilities should be realized) is therefore invalid.     

Social status,cognitive ability,and educational attainment as predictors of liberal social attitudes and political trust

We examined the prospective associations between family socio-economic background, childhood intelligence (g) at age 11, educational and occupational attainment, and social attitudes at age 33 in a large (N = 8804), representative sample of the British population born in 1958. Structural equation Modeling identified a latent trait of ‘liberal social attitudes’ underlying attitude factors that are antiracist, socially liberal, and in support of gender equality. Another attitude factor—‘political trust’—was relatively independent from the latent attitude trait and has somewhat different pathways in relation to the other variables included in the analysis. There was a direct association between higher g at age 11 and more liberal social attitudes and political trust at age 33. For both men and women the association between g and liberal social attitudes was partly mediated via educational qualifications, and to a much lesser extent via adult occupational attainment. For women the association between g and political trust was partly mediated through both educational qualification and occupational attainment, and for men it was mediated mainly via occupational attainment. Men and women who had higher educational qualifications and higher occupational status tend to be more socially liberal and more trusting of the democratic political system. In terms of socio-economic background, people from less privileged families showed less political trust, but did not differ much in liberal social attitudes from those born into relatively more privileged circumstances. This study shows that social background, cognitive ability, education, and own social status influence perceptions of society.     

Trust, Dependency, and Control in the Contemporary Organization

Trust is an essential element in productive and effective intraorganizational communication and interaction. The present study examined several consequences of trust in terms of influence strategies used and the frequency with which people interact with each other. The study also examined the extent to which the technology of work affects management's dependency on their employees. It was found that distrust of subordinates by managers (n = 275) was associated with the use of strong tactics of influence, little dependency on employees, and the use of personal-related characteristics to explain distrust. It was also found that distrust of managers by subordinates (n = 267) was associated with the use of strong methods of influence, less interaction, less attempts to influence, and the use of personal-related characteristics to explain lack of trust. These findings have clear implications for understanding the relation among worker trust, dependency, and social influence. The data suggest that both employees and employers could benefit from considering the importance of a trusting relationship in the workplace.     

Interaction strategies with advanced driver assistance systems

When using advanced driver assistance systems (ADAS) drivers need to calibrate their level of trust and interaction strategy to changes in the driving context and possible consequent reduction of system reliability (e.g. in harsh weather conditions). By investigating and identifying categories of drivers who choose inadequate interaction strategies, it is possible to address unsafe usage with e.g. tutoring lessons tailored to the respective driver category. This paper presents two studies investigating categories of drivers who apply different interaction strategies when using ADAS. Study I was designed as an exploratory field study with 37 participants interacting with a SAE level 2 system. For the exploratory study, it was important to observe and understand the interaction strategies in a driving context which entails the real complexity of the driving task. The experimental set-up of study II (simulator study), however, allowed to clearly interpret the interaction strategies as either calibrated or un-calibrated by varying the situational risk. Participants (N = 33) were driving in a situation where the system was either working reliably (low-risk condition) or in a situation where the system displayed repeatedly errors under harsh weather conditions (high-risk condition). Cluster analyses with the variables trust, monitoring behavior towards the system and usage behavior were performed to analyze potential categories of drivers. Extreme driver categories with interaction strategies indicative for both misuse and disuse were observed in both studies. In study I, drivers were categorized as either highly trusting attentive, moderately trusting attentive, moderately inattentive, inattentive or skeptical. In study II, drivers were categorized as either un-calibrated, calibrated, inconsistent or skeptical. Taken together, results underline the need of tutoring systems that are tailored for different driver categories.