Interpersonal Expectations as the Building Blocks of Social Cognition: An Interdependence Theory Perspective

In this paper I use interdependence theory as an analytic framework for depicting the logically interconnected network of expectations that determines social interaction. The framework focuses on expectations about a partner’s goals (B) relevant to particular interdependence situations (S), and suggests that expectations about these two elements define the social situation that activates a person’s own goals (A). Together, these elements determine interaction behavior (I). This SABI framework is complementary to Mischel and Shoda’s (1995) CAPS theory of personality in its logic. It depicts a person’s interpersonal dispositions as having profiles or signatures dependent on both the expected features of situations and the expected dispositions of partners. A taxonomic theory for classifying both situations and the functionally relevant goals of interaction partners is outlined. Research on attachment theory and trust is used to illustrate the model. Finally, I suggest that people’s expectations about partners’ prosocial motivations—their perceived responsiveness toward the self—play an imperial role in social cognition, and, further, that complex SABI models can be seen as detailing a set of security operations that serve as a program for social action. SABI models detail the set of mechanisms that constitute the basic survival kit of interpersonal relations.     

Linguistic Convergence to Observed Versus Expected Behavior in an Alien-Language Map Task

Individuals shift their language to converge with interlocutors. Recent work has suggested that convergence can target not only observed but also expected linguistic behavior, cued by social information. However, it remains uncertain how expectations and observed behavior interact, particularly when they contradict each other. We investigated this using a cooperative map task experiment, in which pairs of participants communicated online by typing messages to each other in a miniature “alien” language that exhibited variation between alien species. The overall task comprised three phases, in each of which participants were told that they would be paired with a different partner. One member of the pair was given explicit linguistic expectations in each phase, while the software controlled whether or not observed behavior from their partner would be consistent or inconsistent with these expectations. The other participant was given no such expectations, allowing us to control for the role of expectation. Participants converged to both observed and expected linguistic behavior, and convergence was boosted when observation and expectation were aligned. When expected and observed behavior were misaligned, participants updated their expectations, though convergence levels did not drop. Furthermore, participants generalized what they learned about one partner to apparent novel partners of the same alien species. We also discuss individual variation in convergence patterns and the lack of a relationship between linguistic convergence and success at the map task. Findings are consistent with observations outside the laboratory that language users converge toward expected linguistic behavior. They also have broader implications for understanding linguistic accommodation and the influence of social information on linguistic processing and production.     

Antecedents of trust in the sharing economy: A systematic review

Users and potential users of the sharing economy need to place a considerable amount of trust in both the person and the platform with which they are dealing. The consequences of transaction partners’ opportunism may be severe, for example damage to goods or endangered personal safety. Trust is, therefore, a key factor in overcoming uncertainty and mitigating risk. However, there is no thorough overview of how trust is developed in this context. To understand how the trust of users in the sharing economy is influenced, we performed a systematic literature review. After screening, 45 articles were included in a qualitative synthesis in which the results were grouped according to a well‐established trust typology. The results show various antecedents of trust in the sharing economy (e.g. reputation, trust in the platform, and interaction experience) related to multiple entities (i.e. seller, buyer, platform, interpersonal, and transaction). Trust in this economy is often reduced to the use of reputation systems alone. However, our study suggests that trust is much more complex than that and extends beyond reputation. Furthermore, our review clearly shows that research on trust in the sharing economy is still scarce and thus more research is needed to understand how trust is established in this context. Our review is the first that brings together antecedents of trust in online peer‐to‐peer transactions and integrates these findings within an existing framework. Additionally, the study suggests directions for future research in order to advance the understanding of trust in the sharing economy.     

Can We Make Sense of the Notion of Trustworthy Technology?

In this paper we raise the question whether technological artifacts can properly speaking be trusted or said to be trustworthy. First, we set out some prevalent accounts of trust and trustworthiness and explain how they compare with the engineer’s notion of reliability. We distinguish between pure rational-choice accounts of trust, which do not differ in principle from mere judgments of reliability, and what we call “motivation-attributing” accounts of trust, which attribute specific motivations to trustworthy entities. Then we consider some examples of technological entities that are, at first glance, best suited to serve as the objects of trust: intelligent systems that interact with users, and complex socio-technical systems. We conclude that the motivation-attributing concept of trustworthiness cannot be straightforwardly applied to these entities. Any applicable notion of trustworthy technology would have to depart significantly from the full-blown notion of trustworthiness associated with interpersonal trust.     

Effects of visual factors during automated driving of mobility scooters on user comfort: An exploratory simulator study

An automated mobility scooter is expected to provide convenient and safe transportation for users in their living area. However, there is limited research on user comfort compared to that on user safety for the automated driving of mobility scooters. Because the user does not perform driving tasks in automated driving, the visual information from the peripheral environment and visual behavior is expected to closely affect the psychological comfort of the user. This study clarifies the effects of factors related to the automated driving of mobility scooters and the peripheral environment on the visual behavior and psychological comfort of the user. Effects of driving velocity and pedestrian density on the visual behavior and psychophysiological responses of users were investigated via a driving simulator. The results showed that automated driving in an environment with a high pedestrian density can result in a decrease in fixation duration, deactivation of visual processing, sympathetic activation, and feeling of negative emotion. This implies that the assessment of visual behaviors of users is important for the design of automated mobility scooters to improve user comfort.     

When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games

The actions of intelligent agents, such as chatbots, recommender systems, and virtual assistants are typically not fully transparent to the user. Consequently, users take the risk that such agents act in ways opposed to the users’ preferences or goals. It is often argued that people use trust as a cognitive shortcut to reduce the complexity of such interactions. Here we formalise this by using the methods of evolutionary game theory to study the viability of trust-based strategies in repeated games. These are reciprocal strategies that cooperate as long as the other player is observed to be cooperating. Unlike classic reciprocal strategies, once mutual cooperation has been observed for a threshold number of rounds they stop checking their co-player’s behaviour every round, and instead only check it with some probability. By doing so, they reduce the opportunity cost of verifying whether the action of their co-player was actually cooperative. We demonstrate that these trust-based strategies can outcompete strategies that are always conditional, such as Tit-for-Tat, when the opportunity cost is non-negligible. We argue that this cost is likely to be greater when the interaction is between people and intelligent agents, because of the reduced transparency of the agent. Consequently, we expect people to use trust-based strategies more frequently in interactions with intelligent agents. Our results provide new, important insights into the design of mechanisms for facilitating interactions between humans and intelligent agents, where trust is an essential factor.     

Sex Bias in Educational Software: The Effect of Designers' Stereotypes on the Software They Design1

Why is the computer more alluring to boys than it is to girls? One answer to this question is drawn from a social psychological model of human interaction. Social psychological research indicates that the expectations an individual has about another person can shape his or her interaction with that person. We hypothesized that, in a similar manner, the expectations software designers hold about the users of the software they design are central in determining the way the software they design interacts with the user. In order to test this notion, we had 43 educators with programming experience design software for either boys, girls, or students, and found that programs for girls were classifiable as “learning tools,” whereas programs for both boys and students were most like “games.” These differences occur as a function of the designers' expectations of the characteristics of potential users of the program and result in sex stereotyped software. We conclude that it is not the computer, or even the software, that is at the root of the sex bias in software, but the expectations and stereotypes of the designers of the software.     

General and Familiar Trust in Websites

When people rely on the web to gather and distribute information, they can build a sense of trust in the websites with which they interact. Understanding the correlates of trust in most websites (general website trust) and trust in websites that one frequently visits (familiar website trust) is crucial for constructing better models of risk perception and online behavior. We conducted an online survey of active Internet users and examined the associations between the two types of web trust and several independent factors: information technology competence, adverse online events, and general dispositions to be trusting or cautious of others. Using a series of nested ordered logistic regression models, we find positive associations between general trust, general caution, and the two types of web trust. The positive effect of information technology competence erases the effect of general caution for general website trust but not for familiar website trust, providing evidence that general trust and self-reported competence are stronger associates of general website trust than broad attitudes about prudence. Finally, the experience of an adverse online event has a strong, negative association with general website trust, but not with familiar website trust. We discuss several implications for online behavior and suggest website policies that can help users make informed decisions about interacting with potentially risky websites.     

Auditory local bias and reduced global interference in autism

Processing local elements of hierarchical patterns at a superior level and independently from an intact global influence is a well-established characteristic of autistic visual perception. However, whether this confirmed finding has an equivalent in the auditory modality is still unknown. To fill this gap, 18 autistics and 18 typical participants completed a melodic decision task where global and local level information can be congruent or incongruent. While focusing either on the global (melody) or local level (group of notes) of hierarchical auditory stimuli, participants have to decide whether the focused level is rising or falling. Autistics showed intact global processing, a superior performance when processing local elements and a reduced global-to-local interference compared to typical participants. These results are the first to demonstrate that autistic processing of auditory hierarchical stimuli closely parallels processing of visual hierarchical stimuli. When analyzing complex auditory information, autistic participants present a local bias and a more autonomous local processing, but not to the detriment of global processing.     

Group-Based Trust in Strangers: The Role of Stereotypes and Expectations

ABSTRACT— Across two studies, we provide evidence for group-based trust in strangers. Specifically, when we offered participants a choice between an unknown monetary allocation made by an in-group (university or major) or an out-group allocator, both of whom had total control over the distribution of an identical sum of money, participants strongly preferred the in-group allocator. This preference occurred regardless of whether the stereotype of the in-group was relatively more positive or more negative than that of the out-group. However, this preference did not persist when participants believed that the allocator was unaware of their group membership. Measures of expected share of the allocator's funds support our hypothesis that differential trust of in-group members results from expectations of altruistic and fair behavior toward fellow in-group members rather than from positive stereotypes of the in-group.     

The Building of Epistemic Trust: An Adoptive Family’s Experience of Mentalization-Based Therapy

ABSTRACT

Recently, theorists have posited the development of epistemic trust – the trust in others as reliable sources of information – as an essential aspect of the therapeutic relationship and a mechanism of therapeutic change. Epistemic trust is likely to be disrupted in adoptive children and families and Mentalization Based Treatment (MBT) aims to explicitly promote its development. Therefore, this study aims to investigate how epistemic mistrust is addressed and how epistemic trust is established within the MBT framework. This single-case, exploratory study reports data from in-depth interviews with one adoptive family, which were analyzed qualitatively using Interpretative Phenomenological Analysis. Two superordinate themes are reported: pre-therapy factors contributing to epistemic mistrust and factors contributing to the development of epistemic trust. The findings highlight two critical elements in establishing epistemic trust: the use of certain clinical skills that help build a secure base within therapy and the possibility of trust being transferred from and to other professionals/systems beyond therapy. Hence, this study informs a deeper understanding of how epistemic trust may be built in therapeutic work with adopted children and identifies possible clinical approaches that may be used by clinicians working with this client group.     

Confirming expectations in asymmetric and symmetric social hypothesis testing

This article examines individuals' expectations in a social hypothesis testing task. Participants selected questions from a list to investigate the presence of personality traits in a target individual. They also identified the responses that they expected to receive and the likelihood of the expected responses. The results of two studies indicated that when people asked questions inquiring about the hypothesized traits that did not entail strong a priori beliefs, they expected to find evidence confirming the hypothesis under investigation. These confirming expectations were more pronounced for symmetric questions, in which the diagnosticity and frequency of the expected evidence did not conflict. When the search for information was asymmetric, confirming expectations were diminished, likely as a consequence of either the rareness or low diagnosticity of the hypothesis-confirming outcome. We also discuss the implications of these findings for confirmation bias.     

Reciprocal trust mediates deep transfer of learning between games of strategic interaction

We studied transfer of learning across two games of strategic interaction. We found that the interpersonal relation between two players during and across two games influence development of reciprocal trust and transfer of learning from one game to another. We show that two types of similarities between the games affect transfer: (1) deep similarities facilitate transfer of an optimal solution across games; (2) surface similarities can either facilitate or hinder transfer depending on whether they lead players toward an optimal or sub-optimal solution in the target game. Learning an optimal solution in a context of interdependence between players is associated with development of reciprocal trust, which in turn mediates transfer of learning across games. The results can be used to inform the design of training exercises to develop strategic interaction skills.     

Young infants readily use proximity to organize visual pattern information

Four experiments relying on novelty and spontaneous preference procedures were performed to determine whether 3-4-month-old infants utilize the Gestalt principle of proximity to organize visual pattern information. In Experiment 1, infants familiarized with arrays of elements that could be organized into either columns or rows were tested for their preference between vertical and horizontal bars. The infants preferred the novel organization of bars. Experiments 2 and 3 showed that the novelty preference could not be attributed to an a priori preference or an inability to discriminate between the elements comprising the patterns. Experiment 4 replicated the results of Experiment 1 in a bars --> elements version of the task, indicating that extended exposure is not necessary for infants to organize based on proximity. The results suggest that infants readily organize visual pattern information in accord with proximity. Implications of this finding for models of the ontogenesis and microgenesis of object perception in infants and adults are discussed.     

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).     

The influence of system transparency on trust: Evaluating interfaces in a highly automated vehicle

Previous studies indicate that, if an automated vehicle communicates its system status and intended behaviour, it could increase user trust and acceptance. However, it is still unclear what types of interfaces will better portray this type of information. The present study evaluated different configurations of screens comparing how they communicated the possible hazards in the environment (e.g. vulnerable road users), and vehicle behaviours (e.g. intended trajectory). These interfaces were presented in a fully automated vehicle tested by 25 participants in an indoor arena. Surveys and interviews measured trust, usability and experience after users were driven by an automated low-speed pod. Participants experienced four types of interfaces, from a simple journey tracker to a windscreen-wide augmented reality (AR) interface which overlays hazards highlighted in the environment and the trajectory of the vehicle. A combination of the survey and interview data showed a clear preference for the AR windscreen and an animated representation of the environment. The trust in the vehicle featuring these interfaces was significantly higher than pretrial measurements. However, some users questioned if they want to see this information all the time. One additional result was that some users felt motion sick when presented with the more engaging content. This paper provides recommendations for the design of interfaces with the potential to improve trust and user experience within highly automated vehicles.     

Parenting as relationship: a framework for assessment and practice

Parenting tends to be framed as a set of actions directed toward the child rather than as a relationship. This article helps therapists, parent-educators, and researchers conceptualize parenting as a socioculturally embedded relationship. The authors apply the relational orientations typology (Silverstein, Bass, Tuttle, Knudson-Martin, & Huenergardt, 2006) to parent-child relationships. The typology addresses two dimensions: whether the focus is on the child's meeting parental expectations or on expectations of mutuality and whether power between parent and child is expected to be symmetrical or asymmetrical. Four relational orientations are described: (1) rule directed, (2) position directed, (3) independence directed, and (4) relationship directed. These relational orientations describe the nature of the reciprocal relationship between parent and child and offer a framework from which to address parenting issues. A case illustration shows how the relational orientations framework helps therapists incorporate a larger systems/relational perspective into what was originally framed primarily as a child behavior problem.     

Integration of pragmatic and phonetic cues in spoken word recognition

Although previous research has established that multiple top-down factors guide the identification of words during speech processing, the ultimate range of information sources that listeners integrate from different levels of linguistic structure is still unknown. In a set of experiments, we investigate whether comprehenders can integrate information from the 2 most disparate domains: pragmatic inference and phonetic perception. Using contexts that trigger pragmatic expectations regarding upcoming coreference (expectations for either he or she), we test listeners' identification of phonetic category boundaries (using acoustically ambiguous words on the /hi/～/∫i/ continuum). The results indicate that, in addition to phonetic cues, word recognition also reflects pragmatic inference. These findings are consistent with evidence for top-down contextual effects from lexical, syntactic, and semantic cues, but they extend this previous work by testing cues at the pragmatic level and by eliminating a statistical-frequency confound that might otherwise explain the previously reported results. We conclude by exploring the time course of this interaction and discussing how different models of cue integration could be adapted to account for our results.     

The role of expectations in comparisons

Expectations are proposed as a unifying framework for explaining a variety of findings on comparative judgment. Expectations may pertain to either the features of each separate object or their simultaneous occurrence in all relevant objects. Two experiments demonstrate that inducing expectations by varying the frequency with which a component occurs, as well as the frequency with which it is shared by the compared objects, results in augmented weighting of unexpected components. Expectations can arise not only from experienced frequencies but also from an inferred set of alternatives. Features of cohesive stimuli are shown to be more expected than features of noncohesive stimuli, in the latter sense. The relatively higher weighting of distinctive features in cohesive stimuli, as well as the higher weight assigned to structurally aligned differences, could thus reflect modifications in feature expectedness. Further experiments show how task-dependent weighting interacts with expectations to produce asymmetries between similarity and difference judgments. Finally, it is argued that changes in expectations regarding objects' attributes can explain context effects across different domains, including some types of preference reversals.     

Admitting the addressee detection faultiness of voice assistants to improve the activation performance using a continuous learning framework

The main promise of voice assistants is their ability to correctly interpret and learn from user input as well as the ability to utilize this knowledge to achieve specific goals and tasks. These systems need predetermined activation actions to start a conversation. Unfortunately, the typically used solution, wake-words, force an unnatural interaction. Furthermore, this method can also confuse when the wake-word, or a phonetically similar phrase, has been said but no interaction with the system is intended by the user. Thereby, the system not only lacks the adequacy of interpersonal interaction, it moreover suffers from an addressee detection faultiness. Although various aspects have already been investigated in this field of acoustic addressee detection research, we demonstrated that the test data used so far rely on ideal conditions: The dialog complexity between human–human and human–device interactions is essentially different while in reality, the behavior of each individual addressing either another human or a device is of large variation. Thus the problem of addressee detection is simplified too much. Our approach works with a specifically designed dataset comprising of human–human and human–computer interactions of similar dialog complexity. Our proposed addressee detection faultiness framework actively communicates the system’s uncertainty that may arise. In connection with a continuous learning framework, this enables a voice assistant system to adapt itself to the users’ individual addressee behavior. This approach achieves significantly improved classification rates of 85.77%, which gives an absolute improvement of 32.22% in comparison to similar experiments employing human annotations as ground truth.