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Zhou, Shuxia (author), Meylaerts, Reine (author), Hua, E. (author), Zhang, Linhua (author)
Trust is important in public health communication to culturally and linguistically diverse (CALD) communities during pandemics. This empirical research, using quantitative data from 107 foreign nationals at a university in Shanghai, probes into how trust varied in official translation services (OTS) and non-official translation services (NOTS)...
journal article 2024
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Nordhoff, S. (author), Stapel, J.C.J. (author), He, X. (author), Gentner, Alexandre (author), Happee, R. (author)
The present study surveyed actual extensive users of SAE Level 2 partially automated cars to investigate how driver’s characteristics (i.e., socio-demographics, driving experience, personality), system performance, perceived safety, and trust in partial automation influence use of partial automation. 81% of respondents stated that they use their...
journal article 2023
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Mehrotra, S. (author), Centeio Jorge, C. (author), Jonker, C.M. (author), Tielman, M.L. (author)
Establishing an appropriate level of trust between people and AI systems is crucial to avoid the misuse, disuse, or abuse of AI. Understanding how AI systems can generate appropriate levels of trust among users is necessary to achieve this goal. This study focuses on the impact of displaying integrity, which is one of the factors that influence...
poster 2023
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Ninan, Dr Johan (author), Clegg, Stewart (author), Mahalingam, Ashwin (author), Sankaran, Shankar (author)
City rebuilding precincts are embedded in, surrounded by, and sometimes resisted or celebrated by stakeholders they impact. These projects require long-lasting relationships and loyalty from the community they serve, making trust a crucial factor. This article employs a case study approach and draws from both social exchange and circuit of power...
journal article 2023
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He, G. (author), Buijsman, S.N.R. (author), Gadiraju, Ujwal (author)
AI systems are increasingly being used to support human decision making. It is important that AI advice is followed appropriately. However, according to existing literature, users typically under-rely or over-rely on AI systems, and this leads to sub-optimal team performance. In this context, we investigate the role of stated system accuracy...
journal article 2023
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Heintz, Fredrik (author), Csáki, Csaba (author), Bernardini, Flavia (author), Dobbe, R.I.J. (author)
As AI technology becomes more powerful, the impact on governance and the governance of AI becomes more important. The purpose of this panel is to bring together experts on Trustworthy AI and E-Governance to discuss the lessons learned so far and the challenges ahead. The goal is to provide a comprehensive review of challenges and potential...
journal article 2023
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Centeio Jorge, C. (author), Bouman, Nikki H. (author), Jonker, C.M. (author), Tielman, M.L. (author)
Introduction: Collaboration in teams composed of both humans and automation has an interdependent nature, which demands calibrated trust among all the team members. For building suitable autonomous teammates, we need to study how trust and trustworthiness function in such teams. In particular, automation occasionally fails to do its job, which...
journal article 2023
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El Jouhri, A. (author), El Sharkawy, A. (author), Paksoy, H. (author), Youssif, O.K.S.A. (author), He, X. (author), Kim, S. (author), Happee, R. (author)
Introduction: SAE Level 3 is known as conditional driving automation. As long as certain conditions are met, there is no need to supervise the technology and the driver can engage in non-driving related tasks (NDRTs). However, a human driver must be present and alert to take over when the automation is facing its system limits. When such an...
journal article 2023
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Centeio Jorge, C. (author), Tielman, M.L. (author), Jonker, C.M. (author)
Mutual trust is considered a required coordinating mechanism for achieving effective teamwork in human teams. However, it is still a challenge to implement such mechanisms in teams composed by both humans and AI (human-AI teams), even though those are becoming increasingly prevalent. Agents in such teams should not only be trustworthy and...
conference paper 2022
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Ao, Yibin (author), Tan, Liyao (author), Zhong, Jinglin (author), Zhang, Hongying (author), Wang, Yan (author), Wang, T. (author)
Earthquake is one of the most serious natural disasters. Taking scientific and reasonable earthquake preparedness measures can effectively reduce casualties and economic losses caused by earthquakes. It is important to understand how residents choose such earthquake preparedness measures to guide them accordingly. However, the current research...
journal article 2022
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Allahabadi, H. (author), Amann, J. (author), Balot, I. (author), Beretta, A. (author), Binkley, C. (author), Bozenhard, J. (author), Bruneault, F. (author), Brusseau, J. (author), Umbrello, S. (author)
This article’s main contributions are twofold: 1) to demonstrate how to apply the general European Union’s High-Level Expert Group’s (EU HLEG) guidelines for trustworthy AI in practice for the domain of healthcare and 2) to investigate the research question of what does “trustworthy AI” mean at the time of the COVID-19 pandemic. To this end, we...
journal article 2022
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Teng, Y. (author), Song, Y. (author)
For proper implementation of digital contact tracing technologies for fighting against SARS-CoV-2, participants' privacy vulnerability and the uncertainty from the relevant institutions' side could be seen as two core elements that should be dealt with, among others. In this paper, we propose to understand the current approaches for preserving...
journal article 2022
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Centeio Jorge, C. (author), Tielman, M.L. (author), Jonker, C.M. (author)
As intelligent agents are becoming human's teammates, not only do humans need to trust intelligent agents, but an intelligent agent should also be able to form artificial trust, i.e. a belief regarding human's trustworthiness. We see artificial trust as the beliefs of competence and willingness, and we study which internal factors (krypta) of...
conference paper 2022
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Agahari, W. (author), Ofe, H.A. (author), de Reuver, Mark (author)
Firms are often reluctant to share data because of mistrust, concerns over control, and other risks. Multi-party computation (MPC) is a new technique to compute meaningful insights without having to transfer data. This paper investigates if MPC affects known antecedents for data sharing decisions: control, trust, and risks. Through 23...
journal article 2022
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Teng, Y. (author)
In the past decade, rapid shifting and evolving technological systems that take trust as part of the design objective (call such systems “trust-inviting systems”) have incredibly transformed the way we interact with others. Think of reputation-based platforms mediating interactions between strangers and other digital services provided by...
doctoral thesis 2021
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Mehrotra, S. (author), Jonker, C.M. (author), Tielman, M.L. (author)
As AI systems are increasingly involved in decision making, it also becomes important that they elicit appropriate levels of trust from their users. To achieve this, it is first important to understand which factors influence trust in AI. We identify that a research gap exists regarding the role of personal values in trust in AI. Therefore, this...
conference paper 2021
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Rikken, O.K. (author), Janssen, M.F.W.H.A. (author), Roosenboom-Kwee, Z. (author), Büttgen, Marion (author), Dicenta, Julia (author), Spohrer, Kai (author), Venkatesh, Viswanath (author), Raman, Rajalakshmi (author), Hoehle, Hartmut (author), De Keyser, Arne (author)
As blockchain technology is maturing to be confidently used in practice, its applications are becoming evident and, correspondingly, more blockchain research is being published, also extending to more domains than before. To date, scientific research in the field has predominantly focused on subject areas such as finance, computer science, and...
journal article 2021
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Kaleefathullah, Anees Ahamed (author), Merat, Natasha (author), Lee, Yee Mun (author), Eisma, Y.B. (author), Madigan, Ruth (author), Garcia, Jorge (author), de Winter, J.C.F. (author)
Objective: To investigate pedestrians’ misuse of an automated vehicle (AV) equipped with an external human–machine interface (eHMI). Misuse occurs when a pedestrian enters the road because of uncritically following the eHMI’s message. Background: Human factors research indicates that automation misuse is a concern. However, there is no...
journal article 2020
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van de Poel, I.R. (author), Asveld, L. (author), Flipse, S.M. (author), Klaassen, Pim (author), Roosenboom-Kwee, Z. (author), Maia, Maria (author), Mantovani, Elvio (author), Nathan, Christopher (author), Porcari, Andrea (author), Yaghmaei, E. (author)
There is now almost a decade of experience with RRI (Responsible Research and Innovation), including a growing emphasis on RRI in industry. Based on our experiences in the EU-funded project PRISMA, we find that the companies we engaged could be motivated to do RRI, but often only after we first shifted initial assumptions and strategies....
journal article 2020
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Smolders, A.L. (author)
Scientists say that trust in inter-organisational relationships leads to high performance, project success, and better quality in construction work. Later research shows that distrust also plays an important role in preventing excessive trust in relationships. It is better to say that a stable state of trust is the balance between trust and...
doctoral thesis 2019
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