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Abstract

in this chapter we will examine the development and impact of trust in the context of close relationships we will begin with a definition of trust and a discussion of its roots in individuals' interpersonal histories we will go on to explore the development of trust in intimate relationships, emphasizing how its foundations are colored by the seminal experiences that mark different stages of interdependence we will then consider the various states of trust that can evolve and their consequences for people's emotions and perceptions in established relationships (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Citation:
Holmes, J.G., & Rempel, J.K. (1989). Trust in close relationships. In C. Hendrick (Ed.), Close relationships:
Review of personality and social psychology (Vol. 10, pp. 187-220). Newbury Park, CA: Sage Publications.
... Though human-automation trust has been linked with operators' strategies for using automation (Chancey et al. 2017;Karpinsky et al. 2018), the psychological mechanism that underlies human-automation trust is unknown. Established upon previous frameworks of interpersonal trust (Rempel et al. 1985;Barber 1983) and Muir's work (Muir 1987(Muir , 1994Muir and Moray 1996), human-automation trust has been theorized to arise from three separate informational sources, including performance (i.e., what the automation is doing), process (i.e., how the automation works), and purpose (i.e., the designer's intent for developing the automation; Lee and Moray 1992). Empirical evidence suggests that the three dimensions capture different trajectories of human-automation trust (Chancey et al. 2017;Karpinsky et al. 2018;Long et al. 2020;Sato et al. 2020). ...
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The present study examined how task priority influences operators’ scanning patterns and trust ratings toward imperfect automation. Previous research demonstrated that participants display lower trust and fixate less frequently toward a visual display for the secondary task assisted with imperfect automation when the primary task demanded more attention. One account for this phenomenon is that the increased primary task demand induced the participants to prioritize the primary task than the secondary task. The present study asked participants to perform a tracking task, system monitoring task, and resource management task simultaneously using the Multi-Attribute Task Battery (MATB) II. Automation assisted the system monitoring task with 70% reliability. Task load was manipulated via difficulty of the tracking task. Participants were explicitly instructed to either prioritize the tracking task over all other tasks (tracking priority condition) or reduce tracking performance (equal priority condition). The results demonstrate the effects of task load on attention distribution, task performance and trust ratings. Furthermore, participants under the equal priority condition reported lower performance-based trust when the tracking task required more frequent manual input (tracking condition), while no effect of task load was observed under the tracking priority condition. Task priority can modulate automation trust by eliminating the adverse effect of task load in a dynamic multitasking environment.
... As reported in Section 3.2, people perceive human-like decision aids as more predictable, accurate and useful. The predictability of others' future actions has long been recognized as a crucial component of interpersonal trust (Rempel, Holmes, and Zanna 1985), and was also shown to be critical for human trust in automation (Hoff and Bashir 2015;Madhavan and Wiegmann 2007). People's receptiveness to advice was also shown to be correlated with the inferred quality and accuracy of an advisor's advice (Bonaccio and Dalal 2006). ...
Preprint
Machine learning algorithms are increasingly used to assist human decision-making. When the goal of machine assistance is to improve the accuracy of human decisions, it might seem appealing to design ML algorithms that complement human knowledge. While neither the algorithm nor the human are perfectly accurate, one could expect that their complementary expertise might lead to improved outcomes. In this study, we demonstrate that in practice decision aids that are not complementary, but make errors similar to human ones may have their own benefits. In a series of human-subject experiments with a total of 901 participants, we study how the similarity of human and machine errors influences human perceptions of and interactions with algorithmic decision aids. We find that (i) people perceive more similar decision aids as more useful, accurate, and predictable, and that (ii) people are more likely to take opposing advice from more similar decision aids, while (iii) decision aids that are less similar to humans have more opportunities to provide opposing advice, resulting in a higher influence on people's decisions overall.
... Interpersonal Trust. The trust questionnaire is a 5-item measure developed by Murray et al. 37 based on a measure developed by Holmes et al. 38 It measures the degree of trust in the partner's continuing motivation to be responsive to one's needs on a Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree) (e.g., "When we are dealing with an issue that is important to me, I feel con dent that my partner will put my feelings rst," "I feel that I can trust my partner completely"). The internal consistency in our data was adequate before the interaction (α = 0.72) and following the interaction (α = 0.76). ...
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Although the link between synchrony and emotional contagion has been studied extensively during face-to-face interaction, the question of whether this association also exists in virtual settings has remained unanswered. Here, we examined whether this link exists during virtual social interactions and whether pro-social effects will be induced during those interactions. To this end, two strangers shared difficulties they have experienced due to the COVID-19 pandemic during a virtual social interaction. The findings revealed that spontaneous motor synchrony and emotional contagion can arise during a virtual social interaction between two strangers and that this kind of interaction has pro-social effects. It can thus be presumed that virtual social interactions may share similar characteristics and social effects with face-to-face interactions. Considering the tremendous changes COVID-19 epidemic has caused regarding social communication, these findings may provide grounds for developing new intervention protocols aiming at dealing with the consequences of social distancing.
... Interpersonal Trust. The trust questionnaire is a 5-item measure developed by Murray et al. 37 based on a measure developed by Holmes et al. 38 It measures the degree of trust in the partner's continuing motivation to be responsive to one's needs on a Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree) (e.g., "When we are dealing with an issue that is important to me, I feel con dent that my partner will put my feelings rst," "I feel that I can trust my partner completely"). The internal consistency in our data was adequate before the interaction (α = 0.72) and following the interaction (α = 0.76). ...
Preprint
Full-text available
Although the link between synchrony and emotional contagion has been studied extensively during face-to-face interaction, the question of whether this association also exists in virtual settings has remained unanswered. Here, we examined whether this link exists during virtual social interactions and whether pro-social effects will be induced during those interactions. To this end, two strangers shared difficulties they have experienced due to the COVID-19 pandemic during a virtual social interaction. The findings revealed that spontaneous motor synchrony and emotional contagion can arise during a virtual social interaction between two strangers and that this kind of interaction has pro-social effects. It can thus be presumed that virtual social interactions may share similar characteristics and social effects with face-to-face interactions. Considering the tremendous changes COVID-19 epidemic has caused regarding social communication, these findings may provide grounds for developing new intervention protocols aiming at dealing with the consequences of social distancing.
... Trust Rempel, Holmes, and Zanna (1985) identified three dimensions for trust: predictability, dependability, and faith. Morgan and Hunt's (1994) trust construct focused on confidence in a relationship partner's reliability and integrity. ...
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Brand relationship uses the interpersonal relationship metaphor to develop its concept. However, some scholars challenge whether or not the interpersonal relationship metaphor can be successfully transferred to brand relationship. This chapter identifies the key criticisms that brand relationship researchers face. The metaphoric transfer of the brand relationship concept can be used to deal with these criticisms. A metaphor is used as figurative language, so a perfect transfer is impossible, more importantly, not necessary. A systematic assessment of the brand relationship metaphor identifies shared and non-shared properties between interpersonal relationships and brand relationships, and demonstrates to what extent interpersonal relationship concepts can be applied to brand relationship. The chapter concludes by outlining areas that deserve further exploration.
... Trust is the belief that something or someone is trustworthy (O'hara, 2012). There are four elements that comprise trust (Rempel et al., 1985). ...
Thesis
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The severity of COVID-19 has been proven to be substantially disastrous not just towards the economy but also on the welfare of people. Despite having vaccines to counteract and protect people from complications and death, people are still doubtful and hesitant towards vaccines. The objective of this study is to determine, specifically for the Philippine setting, the factors that influence vaccine hesitancy according to the systematic review and meta-analysis of Nindrea et al. (2021). The study was conducted via an online platform that consisted of a seven (7) survey questionnaire that measures thirteen (13) factors that affect vaccine behavioral response. There were a total of 986 respondents from Cebu island who participated in the survey. Data were analyzed using stepwise backward regression to identify the factors fit for the study’s data. Results revealed that trust in the healthcare system, knowledge about vaccines, perceived risk and benefit, being a senior high school graduate and post-college graduate influenced vaccine hesitancy. The results of this study have major implications for a better understanding of vaccine hesitancy and enhancements on strategies that affect acceptance of vaccines. Keywords: vaccine hesitancy, COVID-19, meta-analysis
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