Searched for: collection%253Air
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Kim, S. (author), van Egmond, R. (author), Happee, R. (author)
In conditionally automated driving (SAE level 3), drivers may take their eyes off the road but will still need to be ready to take control and will, therefore, benefit from information on automation. This study aims to investigate the effectiveness of automation manoeuvre information provided through spatial sound, traditional notification sound...
journal article 2024
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Mehrotra, S. (author), Centeio Jorge, C. (author), Jonker, C.M. (author), Tielman, M.L. (author)
Appropriate trust is an important component of the interaction between people and AI systems, in that ‘inappropriate’ trust can cause disuse, misuse or abuse of AI. To foster appropriate trust in AI, we need to understand how AI systems can elicit appropriate levels of trust from their users. Out of the aspects that influence trust, this paper...
journal article 2024
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Ofe, H.A. (author), Sandberg, Johan (author), Rudmark, Daniel (author), de Reuver, Mark (author)
conference paper 2023
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Ulfert-Blank, Anna Sophie (author), Georganta, Eleni (author), Tielman, M.L. (author), Oron-Gilad, Tal (author)
With the increasing adoption of Artificial intelligence (AI) as a crucial component of business strategy, establishing trust between humans and AI teammates remains a key issue. The project “We are in this together” highlights current theories on trust in Human-AI teams (HAIT) and proposes a research model that integrates insights from...
journal article 2023
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Nguyen-Phuoc, Duy Quy (author), Nguyen, Nguyen An Ngoc (author), Tran, Phuong Thi Kim (author), Pham, Huong Giang (author), Oviedo-Trespalacios, O. (author)
Motorcycle riding is the principal mode of travel in low- and middle-income countries (LMICs). Motorcycle-based transport is regarded as highly problematic today due to reliance on fossil-based fuels, which contributes to climate change. Additionally, emissions from fuel combustion release air pollutants in urban areas, resulting in public...
journal article 2023
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Shishkov, B.B. (author), Fill, Hans Georg (author), Ivanova, Krassimira (author), van Sinderen, Marten (author), Verbraeck, A. (author)
Enabling technologies concerning hardware, networking, and sensing have inspired the development of context-aware IT services. These adapt to the situation of the user, such that service provisioning is specific to his/her corresponding needs. We have seen successful applications of context-aware services in healthcare, well-being, and smart...
conference paper 2023
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Cebeci, M.S. (author), Tapia, Rodrigo Javier (author), Kroesen, M. (author), de Bok, M.A. (author), Tavasszy, Lorant (author)
The fast growth of e-commerce in urban areas has led to a surge in last-mile transportation demand and an associated increase of external effects: congestion, noise and visual pollution. This paper analyses a new urban freight transport service that has a potential to reduce this footprint: crowdshipping. Crowdshipping is a service where a...
journal article 2023
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Buijsman, S.N.R. (author)
Why should we explain opaque algorithms? Here four papers are discussed that argue that, in fact, we don’t have to. Explainability, according to them, isn’t needed for trust in algorithms, nor is it needed for other goals we might have. I give a critical overview of these arguments, showing that there is still room to think that explainability...
conference paper 2023
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Marot, Antoine (author), Donnot, Benjamin (author), Chaouache, Karim (author), Kelly, Adrian (author), Huang, Qiuhua (author), Hossain, Ramij Raja (author), Cremer, Jochen (author)
Artificial agents are promising for real-time power network operations, particularly, to compute remedial actions for congestion management. However, due to high reliability requirements, purely autonomous agents will not be deployed any time soon and operators will be in charge of taking action for the foreseeable future. Aiming at designing...
journal article 2022
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Gupta, A. (author), Basu, D. (author), Ghantasala, Ramya (author), Qiu, S. (author), Gadiraju, Ujwal (author)
Trust is an important component of human-AI relationships and plays a major role in shaping the reliance of users on online algorithmic decision support systems. With recent advances in natural language processing, text and voice-based conversational interfaces have provided users with new ways of interacting with such systems. Despite the...
conference paper 2022
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Benussi, Elias (author), Patane, Andrea (author), Wicker, Matthew (author), Laurenti, L. (author), Kwiatkowska, Marta (author)
We consider the problem of certifying the individual fairness (IF) of feed-forward neural networks (NNs). In particular, we work with the ϵ-δ-IF formulation, which, given a NN and a similarity metric learnt from data, requires that the output difference between any pair of ϵ-similar individuals is bounded by a maximum decision tolerance δ ≥ 0...
conference paper 2022
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Ofe, H.A. (author), Minnema, Harm (author), de Reuver, Mark (author)
Purpose: This paper aims to propose a framework for how privacy-preserving technologies (PETs) create business value for organizations. The framework was developed by examining the literature on privacy and information technology’s impact (symbolic and function). The authors evaluate the framework’s applicability using multiparty computation ...
journal article 2022
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Browne, J.T. (author), Bakker, Saskia (author), Yu, Bin (author), Lloyd, P.A. (author), Ben Allouch, Somaya (author)
From diagnosis to patient scheduling, AI is increasingly being considered across different clinical applications. Despite increasingly powerful clinical AI, uptake into actual clinical workflows remains limited. One of the major challenges is developing appropriate trust with clinicians. In this paper, we investigate trust in clinical AI in a...
conference paper 2022
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de Bruijn, J.A. (author), Warnier, Martijn (author), Janssen, M.F.W.H.A. (author)
Governments look at explainable artificial intelligence's (XAI) potential to tackle the criticisms of the opaqueness of algorithmic decision-making with AI. Although XAI is appealing as a solution for automated decisions, the wicked nature of the challenges governments face complicates the use of XAI. Wickedness means that the facts that define...
journal article 2022
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He, X. (author), Stapel, J.C.J. (author), Wang, M. (author), Happee, R. (author)
Perceived risk and trust are crucial for user acceptance of driving automation. In this study, we identify important predictors of perceived risk and trust in a driving simulator experiment and develop models through stepwise regression to predict event-based changes in perceived risk and trust. 25 participants were tasked to monitor SAE...
journal article 2022
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Jung, Ji Youn (author), Qiu, S. (author), Bozzon, A. (author), Gadiraju, Ujwal (author)
Conversational agents are being widely adopted across several domains to serve a variety of purposes ranging from providing intelligent assistance to companionship. Recent literature has shown that users develop intuitive folk theories and a metaphorical understanding of conversational agents (CAs) due to the lack of a mental model of the...
conference paper 2022
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Mehrotra, S. (author)
Trust is an important element of any interaction, but especially when we are interacting with a piece of technology which does not think like we do. Therefore, AI systems need to understand how humans trust them, and what to do to promote appropriate trust. The aim of this research is to study trust through both a formal and social lens. We will...
abstract 2021
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Koolwijk, J.S.J. (author), van Oel, C.J. (author), Bel, M.A.J. (author)
Purpose – To explore how and why the social structures of strategic partnerships are shaped by actors and how these interrelate with a team’s interpersonal relationships over time. Grasping the complexity of this interplay is essential if we want to comprehend what actually goes on in these partnerships and understand why actors often disengage...
journal article 2021
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Teng, Y. (author)
This paper proposes a novel way to understand trust in blockchain technology by analogy with trust placed in institutions. In support of the analysis, a detailed investigation of institutional trust is provided, which is then used as the basis for understanding the nature and ethical limits of blockchain trust. Two interrelated arguments are...
journal article 2021
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Sevinç Çubuk, E.B. (author), Demirdöven, Burcu (author), Janssen, M.F.W.H.A. (author)
The coronavirus outbreak (COVID-19) has demonstrated the importance of the state capacity and public policy-making process in managing both the pandemic and the resulting crisis. Trust and/or distrust in the relationship between citizens and authorities can determine the success or failure of states in combating pandemics. The goal of this study...
book chapter 2021
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