Searched for: subject%3A%22artificial%255C+intelligence%22
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van der Burg, Vera (author), Akdag Salah, A.A. (author), Chandrasegaran, R.S.K. (author)
Emerging practices of using ‘off the shelf’ AI as a creative partner in design processes are receiving increasing attention in design research. This paper takes the well-known concept of ‘framing’ in design, along with the Schönian concept of ‘surprise’ to explore how a human-AI dialogue could work. The approach taken is practice-based, with the...
conference paper 2022
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Mlynar, Jakub (author), Bahrami, Farzaneh (author), Ourednik, André (author), Mutzner, Nico (author), Verma, H. (author), Alavi, Hamed (author)
The current mechanisms that drive the development of AI technologies are widely criticized for being tech-oriented and market-led instead of stemming from societal challenges. In Human-Centered AI discourses, and more broadly in Human-Computer Interaction research, initiatives have been proposed to engage experts from various domains of...
conference paper 2022
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Çetin, Sultan (author), Rukanova, B.D. (author), De Wolf, Catherine (author), Gruis, V.H. (author), Tan, Y. (author)
This article proposes a conceptual model to address the structural holes in data sharing between (and beyond) actors in the circular built environment supply chain and monitoring circular economy progress. Current digital innovations such as material passports and Building Information Modelling applications aim at increasing quality and...
conference paper 2022
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Badea, C. (author), Groot, D.J. (author), Morfin Veytia, A. (author), Ribeiro, M.J. (author), Dalmau, Ramon (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
Air traffic demand has increased at an unprecedented rate in the last decade (albeit interrupted by the COVID pandemic), but capacity has not increased at the same rate. Higher levels of automation and the implementation of decision-support tools for air traffic controllers could help increase capacity and catch up with demand. The air traffic...
conference paper 2022
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Popov, M. (author), Boricic, Aleksandar (author), Veerakumar, Nidarshan (author), Naglic, Matija (author), Tyuryukanov, I. (author), Tealane, M. (author), Rueda, José L. (author), van der Meijden, M.A.M.M. (author), Palensky, P. (author)
This paper deals with the essentials of synchrophasor applications for future power systems aimed at increasing system reliability and resilience. In this work, several applications are presented, covering real-time disturbance detection and blackout prevention. Firstly, an advanced big-data management platform built in real-time digital...
conference paper 2022
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Inna Kedege, V. (author), Czechowski, A.T. (author), Stellingwerff, Ludo (author), Oliehoek, F.A. (author)
Distributed robots that survey and assist with search & rescue operations usually deal with unknown environments with limited communication. This paper focuses on distributed & cooperative multi-robot area coverage strategies of unknown environments, having constrained communication. Due to restricted communication there is...
conference paper 2022
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Viebahn, Jan (author), Naglic, Matija (author), Marot, Antoine (author), Donnot, Benjamin (author), Tindemans, Simon H. (author)
Given the increasing need to meet the new operational requirements of power systems and prepare for the future, adaptation of cutting-edge Artificial Intelligence (AI) technologies in the operational processes is paramount to timely meet the challenges. The focus of this paper is on applying AI in power system operations, in particular for the...
conference paper 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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Guo, Peicheng (author), Smit, I.R. (author)
With the development of Artificial intelligence, the connected objects are extended with the predictive capabilities and the character of things can change to “things that predict”. If a connected device is able to embrace a predictive system that not only profiles for scripted behavior but could also use the knowledge co-created by all the...
conference paper 2022
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Browne, J.T. (author), Garnham, Ignacio (author)
This paper blends work in extended mind, distributed cognition, and predictive processing to provide a novel generative theory of interaction. This dovetailing offers an emerging picture of cognition that HCI stands to benefit from: our cognition is extended, distributed, and constantly trying to predict incoming sensory stimuli across social...
conference paper 2022
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Verdecchia, Roberto (author), Cruz, Luis (author), Sallou, June (author), Lin, Michelle (author), Wickenden, James (author), Hotellier, Estelle (author)
With the growing availability of large-scale datasets, and the popularization of affordable storage and computational capabilities, the energy consumed by AI is becoming a growing concern. To address this issue, in recent years, studies have focused on demonstrating how AI energy efficiency can be improved by tuning the model training strategy....
conference paper 2022
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Turtle, G.L. (author), Guerrero Millan, Carlos (author), Özçetin, Seda (author), Patil, M.S. (author), Bendor, R. (author)
The Sensing in the Wild Lab is a speculative experiment in designing a de- centralised urban sensing system from a more-than-human perspective. It is part of DCODE, an H2020-ITN project that explores the future of designing with AI. During the Lab participants assume different identities – roleplaying as children but also as moss, as municipal...
conference paper 2022
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Giunti, Guido (author), Isomursu, M. (author), Gabarron, E. (author), Solad, Y. (author)
Advances in voice recognition, natural language processing, and artificial intelligence have led to the increasing availability and use of conversational agents (chatbots) in different settings. Chatbots are systems that mimic human dialogue interaction through text or voice. This paper describes a series of design considerations for...
conference paper 2021
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Lomas, J.D. (author), Patel, Nirmal (author), Forlizzi, Jodi L. (author)
This paper explores several approaches for designing data-informed intelligent systems to create a positive impact. Two contrasting case studies in K12 education are used to illustrate design methods, questions and recommendations. The first case study addresses the poverty achievement gap in America and shows how product data can be used to...
conference paper 2021
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Domazetovska, Simona (author), Gavriloski, Viktor (author), Jovanova, J. (author)
The artificial intelligence (AI) field has encountered a turning point mainly due to advancements in machine learning, which allows systems to learn, improve, and perform a specific task through data without being explicitly programmed. Machine learning can be utilized with machining processes to improve product quality levels and...
conference paper 2021
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Hung, H.S. (author), Gurrin, Cathal (author), Larson, M.A. (author), Gunes, Hatice (author), Ringeval, Fabien (author), Andre, Elisabeth (author), Morency, Louis-Philippe (author)
The rising popularity of Artificial Intelligence (AI) has brought considerable public interest as well faster and more direct transfer of research ideas into practice. One of the aspects of AI that still trails behind considerably is the role of machines in interpreting, enhancing, modeling, generating, and influencing social behavior. Such...
conference paper 2021
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van Oort, B. (author), Cruz, Luis (author), Aniche, Maurício (author), van Deursen, A. (author)
Artificial Intelligence (AI) and Machine Learning (ML) are pervasive in the current computer science landscape. Yet, there still exists a lack of software engineering experience and best practices in this field. One such best practice, static code analysis, can be used to find code smells, i.e., (potential) defects in the source code,...
conference paper 2021
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Alonso, Jose M. (author), Barro, Senén (author), Bugarín, Alberto (author), van Deemter, Kees (author), Gardent, Claire (author), Gatt, Albert (author), Reiter, Ehud (author), Sierra, Carles (author), Theune, Mariët (author), Tintarev, N. (author), Yano, Hitoshi (author), Budzynska, Katarzyna (author)
We have defined an interdisciplinary program for training a new generation of researchers who will be ready to leverage the use of Artificial Intelligence (AI)-based models and techniques even by non-expert users. The final goal is to make AI self-explaining and thus contribute to translating knowledge into products and services for economic...
conference paper 2021
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Xie, Yuanhao (author), Cruz, Luis (author), Heck, Petra (author), Rellermeyer, Jan S. (author)
The development of artificial intelligence (AI) has made various industries eager to explore the benefits of AI. There is an increasing amount of research surrounding AI, most of which is centred on the development of new AI algorithms and techniques. However, the advent of AI is bringing an increasing set of practical problems related to AI...
conference paper 2021
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Diehl, J.C. (author), van Doesum, F. (author), Bakker, M.F. (author), van Gijzen, M.B. (author), O’Reilly, Thomas (author), Muhumuza, Ivan (author), Obungoloch, Johnes (author), Kabachelor, Edith Mbabazi (author)
Compared to other parts of the world, the incidence of hydrocephalus in children is very high in sub- Saharan Africa. Magnetic resonance imaging (MRI) would be the preferred diagnostic method for infant hydrocephaleus. However, in practice, MRI is seldom used in sub-Saharan Africa due to its high prize, low mobility, and...
conference paper 2020
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