Understanding Perceived Trust to Reduce Regret

Costante, Elisa; Hartog, Jerry den; Petković, Milan

doi:10.1111/coin.12025

Cited by 7 publications

(6 citation statements)

References 49 publications

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“…One decision about app selection that varies from previous research is the method of addressing familiarity. Familiarity and reputation are consistently factors in trust decisions in a wide range of online environments (Costante et al, 2015 ). A series of surveys, interviews, and focus groups illustrated that nontechnical users consistently believe that popularity indicates the acceptability of privacy policies with use by others being an implicit, environmental cue (Morton, 2014 ).…”

Section: Methods and Designmentioning

confidence: 99%

Can You Hear Me Now? Audio and Visual Interactions That Change App Choices

2020

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Android and iOS mobile operating systems use permissions to enable phone owners to manage access to their device's resources. Both systems provide resource access dialogues at first use and per-resource controls. Android continues to offer permission manifests in the Android PlayStore for older apps but is transitioning away from this. Neither manifests nor first-use dialogues enable people to easily compare apps based on resource requests, and the corresponding privacy and security risks. Without the ability to compare resource requests when choosing an app, customers cannot select those apps that request fewer resources. Unnecessary and excessive permission requests, overuse of resources, information exfiltration, and risky apps are endemic. To address this issue we built upon past work in warning science and risk communication to design multimedia indicators to communicate the aggregate privacy and security risk associated with an app. Specifically, we provided participants with a privacy rating using the familiar padlock icon and used audio notifications to either warn or reinforce user choices. We empirically tested participants' app decisions with these padlock icons and audio notifications. The results showed that people with both visual cues and audio feedback are more likely to make app choices that are inversely correlated with the resources requested by the app. Those with neither indicators made decisions reflecting only app rating, while decisions made by those with either the audio or the visual indicators are sometimes inversely correlated with resource requests. This illustrates that simple clear communication about apps' aggregate risk, as opposed to atomic resource requests, changes participants' app selections potentially mitigating the state of information overuse and potential abuse. Additionally, neither the visual indicator nor the audio feedback affected the time required for participants to make a decision.

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Section: Methods and Designmentioning

confidence: 99%

Can You Hear Me Now? Audio and Visual Interactions That Change App Choices

2020

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“…The literature shows strong support that the online environment has enhanced the complexity of the trust relationship (Hennig-Thurau et al 2010;Shankar et al 2003;Walsh et al 2010). Thus, in order to create trustworthy marketplaces, it is important to understand how users perceive trust when they engage in online activity (Costante et al 2015). In the case of inter-human transactions, signals (such as body language) help individuals to evaluate trust in the relationship.…”

Section: Perceived Trustmentioning

confidence: 99%

“…This is in contrast to online transacting where a signal like body language may not be present. Online trust, therefore, demands the identification of alternative signals for trust (Costante et al 2015). This view is not always supported, as Friedman, Kahn and Howe (2000) argue that "people trust people, not technology."…”

Section: Perceived Trustmentioning

confidence: 99%

“…In addition, MSPs consist of pure plays selling digital offerings, and those selling physical offerings (Ungerer, Ungerer and Herholdt 2016). Research intended to understand and measure perceived risk and perceived trust has aided both these types of MSPs (Becerra, Badrinarayanan and Kim 2013;Chen et al 2016;Corbitt, Thanasankit and Yi 2003;Costante, Den Hartog and Petkovic 2015;Ranaweera and Prabhu 2003;Shehryar 2008). The research confirms that for both online and physical environments, if the risk is perceived to be high, the buyer is less likely to purchase a product (Chang and Tseng 2013).…”

Section: Introductionmentioning

confidence: 99%

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Perceived Risk, Trust and Familiarity of Online Multi-Sided Pure-Play Platforms Selling Physical Offerings in an Emerging Market

Carstens

Ungerer

Human

2019

SABR

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Understanding how customers perceive trust and risk when engaging with online pure-play multi-sided platforms (MSPs), has become critical to the performance of digital marketing strategies. This study explored the relationship between perceived trust, perceived risk and user familiarity associated with MSPs. For the purpose of this study, MSPs are conceptualised as firms that operate only online, that seek to provide transacting services to buyers and sellers, and that sell physical offerings in an emerging market context. Primary data were collected through an online instrument across five MSPs and the study reported the results pertaining to differences and similarities between groups and platforms. The results show that while familiarity drives trust, its impact is moderated by perceived risk. Contrary to common belief, the results show gender differences, but do not confirm age differences in trust and the moderation effect of risk. Moreover, the results also show that the influence of familiarity is not significantly different across MSPs.

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“…Most prior literatures on trust focus on concrete solutions in specific systems , and the models that are applied to a specific domain and category of users . Although it is impractical to develop a unified trust framework, the attempt to develop models, approaches and algorithms suitable for multiple applied fields will greatly improve the efficiency.…”

Section: Introductionmentioning

confidence: 99%

A similarity‐based indirect trust model with anti‐spoofing capability

Tan

Liu

et al. 2016

Security Comm Networks

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Trust management has become an emerging security paradigm in various areas such as ad hoc networks and cloud computing. One core element of trust management is the indirect trust model that evaluates the trustworthiness of a target based on others' recommendations. The research on indirect trust is still at an early stage, and some problems are not addressed yet. Because of the subjectivity of trust, entities would have different views on a same target. Consequently, after receiving recommendations, the evaluating entity should first measure their credibility. Existing methods often distort recommendations. We propose a more reasonable method based on the similarity between recommenders and evaluating entities. Furthermore, considering the characteristics of one-hop and multi-hop recommendations, the similarity calculation methods for them were developed individually. Another problem is the spoofed recommendations aiming at tarnishing someone or harboring conspirators. We design a simple but efficient algorithm to detect and remove them. The proposed methods and algorithms constitute the integrated indirect trust model. This model is not bound to any specific domain, and thus it can be widely applied. Simulation results show that the model is effective in obtaining an objective indirect trust value with the existence of personalized and dishonest recommenders.

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Understanding Perceived Trust to Reduce Regret

Cited by 7 publications

References 49 publications

Can You Hear Me Now? Audio and Visual Interactions That Change App Choices

Can You Hear Me Now? Audio and Visual Interactions That Change App Choices

Perceived Risk, Trust and Familiarity of Online Multi-Sided Pure-Play Platforms Selling Physical Offerings in an Emerging Market

A similarity‐based indirect trust model with anti‐spoofing capability

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