Searched for: subject%3A%22context%255C-aware%22
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Dubey, S.K. (author)
Understanding economic decision-making is essential for impactful policy design. In the literature, two main modelling paradigms exist: compensatory and non-compensatory. In this work, we advance the field of decision theory by developing a flexible choice model capable of approximating two modelling paradigms without imposing any a-priori...
doctoral thesis 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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Banerjee, I. (author)
In a dynamic or disruptive situation, such as disasters, a fully mobile and decentralized infrastructure-less network seems to be a viable option for communication. Citizens are confronted with challenges such as complicated deployment of these networks, resource-constrained mobile phones and mobility. This requires communication networks to...
doctoral thesis 2022
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Van Oort, Bart (author), Cruz, Luis (author), Loni, Babak (author), van Deursen, A. (author)
Machine Learning (ML) projects incur novel challenges in their development and productionisation over traditional software applications, though established principles and best practices in ensuring the project's software quality still apply. While using static analysis to catch code smells has been shown to improve software quality attributes...
conference paper 2022
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Dudzik, B.J.W. (author), Küster, Dennis (author), St-Onge, David (author), Putze, Felix (author)
The ability to automatically infer relevant aspects of human users' thoughts and feelings is crucial for technologies to adapt their behaviors in complex interactions intelligently (e.g., social robots or tutoring systems). Research on multimodal analysis has demonstrated the potential of technology to provide such estimates for a broad range...
conference paper 2022
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Viana, Paula (author), Andrade, Maria Teresa (author), Carvalho, Pedro (author), Vilaça, Luis (author), Teixeira, Inês N. (author), Costa, Tiago (author), Jonker, P.P. (author)
Applying machine learning (ML), and especially deep learning, to understand visual content is becoming common practice in many application areas. However, little attention has been given to its use within the multimedia creative domain. It is true that ML is already popular for content creation, but the progress achieved so far addresses...
journal article 2022
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Kannan, Jai (author), Barnett, Scott (author), Cruz, Luis (author), Simmons, Anj (author), Agarwal, Akash (author)
Meeting the rise of industry demand to incorporate machine learning (ML) components into software systems requires interdisciplinary teams contributing to a shared code base. To maintain consistency, reduce defects and ensure maintainability, developers use code analysis tools to aid them in identifying defects and maintaining standards. With...
conference paper 2022
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Shishkov, B.B. (author), Ivanova, Krassimira (author), Verbraeck, A. (author), van Sinderen, Marten (author)
Drones performing an autonomous mission need to adapt to frequent changes in their environment. In other words, they have to be context-aware. Most current context-aware systems are designed to distinguish between situations that have been pre-defined in terms of anticipated situation types and corresponding desired behavior types. This only...
conference paper 2022
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Banerjee, I. (author), Warnier, Martijn (author), Brazier, F.M. (author)
This paper addresses the challenge of establishing a resilient disaster communication system that transitions seamlessly from a phone-based ad hoc network to any portable infrastructure and back. For this purpose, this paper presents a value-based design of an autonomous and self-organized protocol (SOS-hybrid). This design ensures seamless...
journal article 2022
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Dudzik, B.J.W. (author)
doctoral thesis 2021
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van Oort, Bart (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 (SE) 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,...
master thesis 2021
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Dudzik, B.J.W. (author), Broekens, D.J. (author), Neerincx, M.A. (author), Hung, H.S. (author)
Empirical evidence suggests that the emotional meaning of facial behavior in isolation is often ambiguous in real-world conditions. While humans complement interpretations of others' faces with additional reasoning about context, automated approaches rarely display such context-sensitivity. Empirical findings indicate that the personal...
conference paper 2020
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Li, Y. (author), Horvath, I. (author), Rusak, Z. (author)
Hazard-intense applications of cyber-physical systems (CPSs), such as the evacuation of a building on fire, require personalized informing on the basis of a real-time assessment of dynamic context. In this paper, a context-dependent message construction mechanism (CD-MCM) is proposed with the objectives (i) to inform people about the...
journal article 2020
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Shishkov, Boris (author), Verbraeck, A. (author)
Enterprise Information Systems (EIS) are designed to deal with normal variability in their inputs and data. Empowered by CONTEXT-AWARENESS, some EIS even count on sensors and/or data analytics for capturing changes outside of the system. Nevertheless, context-awareness would often fail when EIS are affected by (large-scale) disruptive events,...
conference paper 2020
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van Engelenburg, S.H. (author)
New developments in Information and Communication Technology (ICT), such as big data, the Internet of Things (IoT), and blockchain technology provide opportunities for businesses and government organisations to benefit from business-to-government (B2G) information sharing. For example, big data analytics might provide government organisations...
doctoral thesis 2019
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Jin, Yucheng (author), Htun, Nyi Nyi (author), Tintarev, N. (author), Verbert, Katrien (author)
Music preferences are likely to depend on contextual characteristics such as location and activity. However, most recommender systems do not allow users to adapt recommendations to their current context. We therefore built ContextPlay, a context-aware music recommender that enables user control for both contextual characteristics and music...
conference paper 2019
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Danaf, Mazen (author), Atasoy, B. (author), de Azevedo, Carlos Lima (author), Ding-Mastera, Jing (author), Abou-Zeid, Maya (author), Cox, Nathaniel (author), Zhao, Fang (author), Ben-Akiva, Moshe (author)
Stated preferences surveys are most commonly used to provide behavioral insights on hypothetical travel scenarios such as new transportation services or attribute ranges beyond those observed in existing conditions. When designing SP surveys, considerable care is needed to balance the statistical objectives with the realism of the experiment....
journal article 2019
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Kraaij, Wessel (author), Verberne, Suzan (author), Koldijk, Saskia (author), de Korte, E.M. (author), van Dantzig, Saskia (author), Sappelli, Maya (author), Hulsebosch, Bob (author), Wabeke, Thymen (author), Neerincx, M.A. (author)
Recent advances in wearable sensor technology and smartphones enable simple and affordable collection of personal analytics. This paper reflects on the lessons learned in the SWELL project that addressed the design of user-centered ICT applications for self-management of vitality in the domain of knowledge workers. These workers often have a...
journal article 2019
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Davis-Owusu, K.A. (author), Owusu, Evans (author), Marcenaro, Lucio (author), Regazzoni, Carlo (author), Feijs, Loe (author), Hu, Jun (author)
In this chapter, we investigate the extent to which the real-time bidirectional exchange of activity information can influence context-awareness, social presence, social connectedness, and importantly interpersonal activity synchrony in mediated ambient assisted living (AAL) environments. Additionally, we describe the design, development, and...
book chapter 2019
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Carisi, Stefano (author)
Objective. Dexterous control of myoelectric upper limb prosthesis is still limited by the capabilities of the modern human-machine interfaces. The first goal of the current work was to develop a system that supplements the academic myoelectric state-of-the-art interface during the interaction with objects (e.g., grasping, manipulation) with the...
master thesis 2018
Searched for: subject%3A%22context%255C-aware%22
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