Search results for "Trustworthiness"

A Large Scale Test of the Effect of Social Class on Prosocial Behavior

2015

Does being from a higher social class lead a person to engage in more or less prosocial behavior? Psychological research has recently provided support for a negative effect of social class on prosocial behavior. However, research outside the field of psychology has mainly found evidence for positive or u-shaped relations. In the present research, we therefore thoroughly examined the effect of social class on prosocial behavior. Moreover, we analyzed whether this effect was moderated by the kind of observed prosocial behavior, the observed country, and the measure of social class. Across eight studies with large and representative international samples, we predominantly found positive effect…

An Analysis of the Drivers of Microfinance Rating Assessments

2012

Rating assessments of microfinance institutions (MFIs) are claimed to measure a combination of creditworthiness, trustworthiness, and excellence in microfinance. Using a global data set covering reports from 304 microfinance institutions, this study suggests that these ratings are mainly driven by size, profitability, and risk. The overall results suggest that microfinance ratings convey information similar to that communicated by traditional credit ratings. All results are remarkably consistent across rating agencies. The determinants of the rating grades are found to be the same in all subsamples.

Assessing the role of evidence of mechanisms in causal extrapolation

2020

Extrapolation of causal claims from study populations to other populations of interest is a problematic issue. The standard approach in experimental research, which prioritises randomized controlled trials and statistical evidence, is not devoid of difficulties. Granted that, it has been defended that evidence of mechanisms is indispensable for causal extrapolation. We argue, contrarily, that this sort of evidence is not indispensable. Nonetheless, we also think that occasionally it may be helpful. In order to clarify its relevance, we introduce a distinction between a positive and a negative role of evidence of mechanisms. Our conclusion is that the former is highly questionable, but the l…

Deterministic versus probabilistic consequences of trust and trustworthiness: An experimental investigation

2014

Abstract There is overwhelming evidence of reciprocal behavior, driven by intentions. However, the role of consequences is less clear cut. Experimentally manipulating how efficient trust and reciprocity can be in deterministic and uncertain environments allows us to study how payoff consequences of trust and trustworthiness affect reciprocity. According to the results for our modified Investment Game, trustees reward trust more when trust is more efficient but do not adjust rewards when the efficiency of rewarding is varied. Furthermore, higher deterministic benefits result in higher levels of reciprocity for all trust levels, whereas an uncertain environment diminishes reciprocity.

A trust-based security enforcement in disruption-tolerant networks

2017

We propose an approach to enforce security in disruption- and delay-tolerant networks (DTNs) where long delays, high packet drop rates, unavailability of central trusted entity etc. make traditional approaches unfeasible. We use trust model based on subjective logic to continuously evaluate trustworthiness of security credentials issued in distributed manner by network participants to deal with absence of centralised trusted authorities.

Data Blinding for the nEDM Experiment at PSI

2020

Psychological bias towards, or away from, prior measurements or theory predictions is an intrinsic threat to any data analysis. While various methods can be used to try to avoid such a bias, e.g. actively avoiding looking at the result, only data blinding is a traceable and trustworthy method that can circumvent the bias and convince a public audience that there is not even an accidental psychological bias. Data blinding is nowadays a standard practice in particle physics, but it is particularly difficult for experiments searching for the neutron electric dipole moment (nEDM), as several cross measurements, in particular of the magnetic field, create a self-consistent network into which it …

Temperature Cues Bias the Memory of Trustworthiness of Faces

2016

Humans rely on temperature cues to navigate and make sense of their social world. In two experiments we find that part of this process can be detected in the perception and memory of faces. We conducted two studies to find this effect through a method called “reverse correlation”, where we average a face over a large amount of trials. For participants who experienced physical warmth (vs. cold) at the initial confrontation with a face we found that the average of the trials displayed a psychologically warmer face (judged by independent raters). Excluding the possibility of a “carry-over” effect, in Study 2 we replicated the Study 1 effect, but only if physical warmth (vs. cold) preceded the …

Baltic Journal of Psychology; Volume 19, Number 1&2  

2019

Vulnerability evaluation of distributed reputation management systems

2017

In distributed environments, Reputation Management Systems (RMSs) aim to estimate agents' trustworthiness by exploiting different sources of information. The distributed nature of these systems makes them vulnerable to several types of security attacks, and the response provided by a specific RMS depends on various factors, such as the algorithms adopted for estimating the reputation values and the communication protocols used to enable the cooperation among agents. This work examines the most important security attacks against RMSs and proposes a set of metrics for a quantitative evaluation of the RMS vulnerabilities. A parallel simulation framework is used to automatically give a vulnerab…

The Inner Life of a Robot in Human-Robot Teaming

2020

Giving the robot a 'human' inner life, such as the capability to think about itself and to understand what the other team members are doing, would increase the efficiency of trustworthy interactions with the other members of the team. Our long-Term research goal is to provide the robot with a computational model of inner life helping the robot to reason about itself, its capabilities, its environment and its teammates. Robot inner speech is a part of the research goal. In this paper, we summarize the results obtained in this direction.